Tag: #AI

Core42 Establishes European Headquarters in Dublin

Core42, a G42 company specializing in sovereign cloud and AI infrastructure, today announced the establishment of its European headquarters in Dublin, Ireland. The news was shared at Investopia, the UAE’s global investment platform, which is hosting its global dialogue series in Dublin this week. The new headquarters strengthens Core42’s ability to serve European enterprises and governments seeking secure, high-performance infrastructure to scale AI adoption.

Core42 was founded in 2023 by G42 to build globally relevant infrastructure for large-scale AI. The company focuses on sovereign cloud, advanced compute platforms, and hyperscale AI environments that support production-grade AI across sectors. Core42 partners with Microsoft, NVIDIA, AMD, Cerebras, and other global ecosystem leaders to ensure customers have access to the latest accelerators, models, and architectures.

Through its AI Cloud platform, Core42 provides fast, self-service access to high-performance compute for training, inference, and large-scale experimentation. Its services portfolio, managed delivery functions, and AI solutioning capabilities support customers through cloud modernization, data readiness, and the full AI adoption lifecycle.

Since 2024, Core42 has expanded its European presence through a series of large-scale sovereign compute initiatives. In France, Core42 partnered with Data One and Oreus to deliver a national-scale AI infrastructure deployment in Grenoble that supports high-performance enterprise and public sector workloads. In Italy, the company collaborated with Domyn to build Europe’s largest AI compute cluster, creating a strong foundation for an AI-first economy and accelerating the region’s ability to scale advanced AI solutions.

Establishing the European headquarters in Dublin marks the next phase of this expansion. The office will act as the regional hub for customer delivery, engineering leadership, regulatory engagement, and ecosystem partnerships. It positions Core42 to work more closely with European institutions and industry leaders as demand for scalable AI infrastructure accelerates across key sectors.

Commenting on the milestone, Talal M. Al Kaissi, Interim CEO of Core42, said: “Europe is a central part of Core42’s global expansion strategy. Establishing our headquarters in Dublin gives us the operational base to support growing demand for high-performance AI infrastructure and to work more closely with customers and partners as they scale production-grade AI across key sectors.”

Also at Investopia, Core42 together with Emerging Markets Intelligence and Research (EMIR), released a report that explores the infrastructure, policy, and investment conditions required for Europe to accelerate its AI capabilities. The report draws on comparative insights from the rapid AI scale-up in the UAE and provides practical guidance for governments, investors, and enterprises developing sovereign-aligned AI ecosystems. To download the report, click here.

Core42 will begin formal operations in Dublin in early 2026, with plans to expand engineering, customer success, and partner ecosystem teams throughout the year.

How Irish Tech Startups Are Scaling Globally in 2026

Ireland’s startup ecosystem is experiencing its most explosive growth period yet. With over 2,200 tech startups employing approximately 55,000 people and the government committing €1.5 billion from the National Training Fund for digital skills development, 2026 is shaping up to be a breakout year for Irish innovation. From AI-driven fintech to medtech exports, Irish companies are making their mark on the global stage, but success in international markets comes with one persistent challenge: multilingual content localization.

For Irish tech founders preparing to pitch in Paris, launch e-commerce platforms across Europe, or scale SaaS products to Asia, the localization bottleneck remains real. Pitch decks, product pages, investor emails, and technical documentation all need fast, high-quality translations that won’t delay go-to-market timelines or compromise message clarity. And when no one on the team speaks the target language fluently, trust in AI translation output becomes a critical concern.

Ireland’s Tech Boom: The Numbers Behind the Growth

The Irish tech sector’s momentum in 2026 is nothing short of remarkable. The industry now contributes over €48 billion to Ireland’s economy, with AI alone projected to add €250 billion by 2035. Dublin’s “Silicon Docks” hosts tech giants like Google, Microsoft, and Facebook, but it’s the indigenous startups that are making headlines.

In 2024, Irish tech companies raised €400 million across various sectors, with cybersecurity leading at €101 million, fintech at €75 million, and travel-tech at €61 million. Tines became Ireland’s second unicorn of 2025 after raising $125 million in a Series C round, while companies like Wayflyer achieved unicorn status with a valuation of $1.6 billion.

According to Deloitte’s Technology Fast 500 list, 20 Irish companies featured among Europe, the Middle East, and Africa’s fastest-growing tech firms, with companies like Wayflyer and Fibrus achieving growth rates exceeding 3,000% over four years. This explosive growth reflects not just local success but global ambition, and that ambition increasingly means navigating multilingual markets.

Why Do Irish Startups Need Multilingual Content Localization?

As Irish companies expand beyond English-speaking markets into France, Germany, Spain, and beyond, they face a fundamental truth: 76% of consumers prefer to buy products with information in their native language. More striking still, nearly 60% of consumers rarely or never purchase from websites available only in English, a trend noted in a Tomedes blog article.

The localization challenge isn’t just about translation, it’s about trust, compliance, and speed to market. A poorly localized pitch deck can cost a Dublin fintech its Paris funding round. A mistranslated product description can damage a Cork e-commerce brand’s reputation in Munich. And for startups racing against well-funded competitors, every day spent on translation delays is a day lost.

The Traditional Translation Bottleneck

Historically, Irish startups expanding to Europe faced several localization pain points:

  • Time constraints: Traditional translation agencies often require weeks for turnaround, delaying product launches and investor meetings
  • Cost barriers: Professional human translation for multiple languages can drain early-stage budgets, with costs reaching thousands of euros per project
  • Quality concerns: While machine translation has improved dramatically, founders worry about accuracy in critical documents like legal contracts, investor materials, and technical specifications
  • Internal expertise gaps: Most Irish startup teams lack native speakers for target languages, making quality assessment difficult

According to research on startup localization challenges, companies that delay localization often face steeper barriers later, it can take nearly two years to retrofit systems built with single-language assumptions.

How Are Irish Startups Overcoming Localization Barriers?

The translation technology landscape has evolved dramatically. The global machine translation market was valued at USD 1.12 billion in 2025 and is expected to reach USD 2 billion by 2030, growing at a CAGR of 12.30%. Neural machine translation now holds nearly 49% market share, thanks to a transformer-based architecture that delivers contextually accurate results.

But raw AI translation alone isn’t enough. Startups need confidence that their translated content is accurate, especially when dealing with high-stakes materials like investor decks, regulatory documents, and product specifications.

This is where consensus-based translation platforms like MachineTranslation.com are changing the game. Their SMART feature represents a breakthrough in translation confidence for non-linguist teams.

What Makes SMART Different?

Unlike traditional approaches that force users to choose between multiple AI translation engines, SMART automatically aggregates outputs from leading translation engines and selects the most agreed-upon translation for each sentence. Think of it as a “wisdom of the crowds” approach to AI translation, when multiple advanced AI systems agree on a translation, confidence in accuracy increases dramatically.

For Irish startups, this means:

  • Faster decision-making: No more manually comparing outputs from Google Translate, DeepL, and Microsoft Translator
  • Higher confidence: When multiple AI engines agree, teams can trust the output without extensive post-editing
  • Reduced review cycles: Non-linguist team members can approve translations faster, accelerating time-to-market
  • Cost efficiency: Less time spent on review means lower localization costs overall

Real-World Use Case: Localizing a Fintech Pitch for French Investors

Consider a Cork-based fintech startup preparing to pitch to venture capital firms in Paris. The founders have built an impressive product, secured early traction in Ireland and the UK, and identified French VCs as their next funding target. But they’re facing a tight timeline, their Series A pitch meeting is in two weeks.

They need to translate:

  • A 20-slide pitch deck with financial projections and market analysis
  • A 10-page executive summary
  • Product demonstration scripts
  • Email correspondence with potential investors

The Old Approach: 

Hire a translation agency, wait 5-7 business days, pay €2,000-3,000 for professional translation, then hope the French investors don’t notice any cultural nuances that feel “off.”

The 2026 Approach with SMART: 

Upload documents to MachineTranslation.com, select English → French AI translation, and let SMART aggregate translations from multiple neural engines. Within hours, the team has high-confidence translations for review. Because SMART surfaces consensus translations, the founders can identify which sections multiple AI engines agree on (high confidence) and which might need human review (lower consensus).

Result: 

The pitch deck is ready in 24 hours, the team saves €2,500, and they have time to rehearse their presentation instead of waiting on translations. More importantly, the SMART-powered translations capture financial terminology accurately because multiple specialized AI engines have validated the output.

Scaling Product Pages Across Six European Languages

For e-commerce startups, the localization challenge multiplies with every market entry. An Irish direct-to-consumer brand launching across Europe might need product descriptions in French, German, Spanish, Dutch, Polish, and Italian—potentially thousands of SKUs across multiple languages.

The E-Commerce Localization Challenge

Traditional approaches force startups to choose between:

  • Speed: Use raw machine translation and risk awkward phrasing that hurts conversion rates
  • Quality: Pay for professional translation and blow the marketing budget before the campaign launches
  • Scale: Pick only 1-2 languages instead of fully localizing for all target markets

This compromise leaves money on the table. Research shows that localized content can increase engagement by up to 2,500%, making proper localization a competitive advantage, not just a nice-to-have.

The SMART Solution for E-Commerce

With over 100,000 language pair combinations available on advanced translation platforms, Irish e-commerce brands can now automate product localization at scale. But automation without confidence creates risk—a mistranslated size chart or ingredient list can trigger customer complaints or regulatory issues.

SMART addresses this by:

  1. Processing high volumes quickly: Translate 1,000 product descriptions across 6 languages in hours, not weeks
  2. Flagging uncertainty: When AI engines disagree significantly on a translation, SMART alerts the team to review that specific content
  3. Maintaining consistency: Glossary management ensures brand terms and product names stay consistent across all languages
  4. Reducing post-editing: Because SMART surfaces consensus translations, human reviewers focus only on edge cases rather than validating every sentence

For a growing e-commerce startup, this means launching in Madrid, Milan, and Munich simultaneously instead of rolling out markets sequentially—compressing internationalization timelines from 18 months to 6 months.

Why Consensus Translation Matters in 2026

The fundamental shift in 2026 is this: AI translation is no longer about choosing the “best” engine. It’s about leveraging multiple AI systems to build confidence through consensus.

The Trust Gap in AI Translation

Despite massive improvements in neural machine translation, non-linguist teams still face a trust gap. When a Dublin SaaS founder reviews a German translation of their product documentation, they’re asking:

  • Is this technically accurate?
  • Does it sound natural to native speakers?
  • Will it damage our brand if we ship this?

Without native German speakers on the team, answering these questions traditionally meant:

  • Hiring expensive consultants for spot-checks
  • Sending translations to freelance reviewers and waiting days
  • Simply hoping the AI got it right and dealing with problems later

SMART fills this gap by making AI consensus visible. When 4 out of 5 leading translation engines agree on how to translate a complex technical sentence, confidence increases. When engines disagree, the system flags that sentence for human review.

Beyond Translation: The Broader Localization Context

While translation quality is critical, it’s just one piece of the localization puzzle. Irish startups expanding globally must also consider:

Cultural adaptation: 

Colors, imagery, and messaging that work in Dublin might not resonate in Tokyo. German B2B buyers expect different proof points than French consumers.

Regulatory compliance: 

GDPR in Europe, data privacy laws in Asia, and advertising standards vary by country. According to industry research, regulatory missteps can lead to fines that threaten early-stage companies.

Payment localization: 

Irish startups using Stripe or other payment processors need to offer local payment methods, iDEAL in the Netherlands, Bancontact in Belgium, SEPA transfers in Germany.

Customer support: 

75% of consumers prefer products available in their native language, and that extends to support channels. Translated FAQs and email templates become essential.

Tools like SMART handle the linguistic foundation, allowing startups to focus resources on these higher-level localization challenges.

How Do Irish Startups Scale Globally Today?

Beyond translation technology, Irish startups benefit from several structural advantages in 2026:

Government Support Infrastructure

  • Enterprise Ireland continues investing heavily in internationalization, with €27.6 million allocated to 157 startups for global expansion support
  • The High Potential Start-Ups (HPSU) programme provides financial incentives and market access support
  • R&D tax credits at 25% encourage continued innovation investment

Strategic Geographic Positioning

Ireland’s location between the US and Europe, combined with its status as the only English-speaking EU member state post-Brexit, makes it an ideal launchpad for European expansion. According to recent insurtech data, 28% of Irish tech firms already report sales into the UK, 15% into Europe, and 14% into the US.

Access to Talent and Capital

The €1.5 billion National Training Fund investment is producing skilled tech talent, while venture capital investment in Ireland surged to $668 million in Q1 2025, up from just $34 million in Q1 2024.

What Types of Content Benefit Most from SMART Translation?

Not all content requires the same translation approach. SMART delivers maximum value for content types where accuracy is critical but full human translation would be cost-prohibitive:

Investor Materials

Pitch decks, executive summaries, and financial projections require precision. A mistranslated revenue projection or market size estimate can undermine investor confidence. SMART’s consensus approach ensures financial terminology and metrics are translated consistently across documents.

Internal Documentation

As Irish startups hire internationally, internal wiki pages, onboarding materials, and process documentation need translation. SMART allows companies to maintain multilingual documentation without dedicated translation budgets.

Legal and Compliance Documents

While final legal contracts should always involve professional legal translators, early drafts, NDA templates, and compliance checklists benefit from high-confidence AI translation. SMART flags legally complex sentences where terminology consensus is low, directing legal review where it matters most.

Product Copy and Marketing Materials

Product descriptions, feature lists, and marketing emails need to be both accurate and persuasive. SMART helps marketing teams localize content quickly while maintaining brand voice consistency through glossary management.

Technical Documentation

API documentation, user guides, and technical specifications contain domain-specific terminology. When multiple AI engines trained on technical corpora agree on translations, development teams can confidently publish localized documentation.

How Does Machine Translation Quality Compare in 2026?

The quality gap between human and machine translation has narrowed dramatically. Neural machine translation models now achieve BLEU scores (a standard quality metric) that approach human parity for common language pairs like English↔French and English↔German.

However, challenges remain for:

  • Low-resource languages: Irish Gaelic, Icelandic, and other smaller languages still benefit from human expertise
  • Creative content: Marketing slogans, brand messaging, and culturally nuanced copy often require transcreation, not just translation
  • Highly regulated content: Pharmaceutical documentation, medical device manuals, and legal contracts still demand human translation and legal review

For the majority of business content, product descriptions, internal communications, investor materials, and technical documentation, AI translation with consensus validation (like SMART) delivers sufficient quality for international operations.

What Challenges Remain for Irish Startups Scaling Globally?

Despite improved translation technology and strong government support, Irish startups still face scaling challenges:

Talent Competition

Dublin’s tech scene faces stiff competition from multinational corporations offering higher salaries. As noted in recent industry analysis, companies like Google, Meta, and Microsoft often poach talent from startups.

Funding Valley

While seed funding is accessible through Enterprise Ireland and local VCs, Series A and B funding remains challenging. Many promising Irish companies stall at the growth stage due to limited growth-focused investment.

Infrastructure Costs

Despite cloud computing reducing hardware expenses, operational costs in Dublin remain high. Startups increasingly establish remote teams or satellite offices in Cork, Galway, and Limerick to manage costs.

Market Understanding

Beyond language, Irish founders must understand local business practices, purchasing behaviors, and competitive dynamics in target markets. A SaaS startup that succeeds in Ireland might need to completely restructure its go-to-market strategy for Germany’s enterprise market.

The Future of Irish Tech Expansion

Looking ahead, several trends will shape how Irish startups scale globally:

AI-First Localization

The AI translation market is projected to reach $4.50 billion by 2033 at a 16.5% CAGR. This growth reflects increasing AI sophistication and startup adoption. Tools like SMART represent the first wave, consensus-based validation. Future iterations will incorporate:

  • Real-time translation for video content and customer support
  • Context-aware translation that understands company-specific terminology
  • Automated cultural adaptation suggestions beyond pure language translation

Hybrid Work and Global Teams

Irish startups increasingly hire globally from day one. A Dublin founder might have developers in Poland, customer success in Spain, and sales in Germany. This necessitates robust multilingual communication infrastructure—not just for customer-facing content but for internal operations.

Regulatory Complexity

As the EU tightens data privacy, AI governance, and digital services regulations, Irish startups must navigate compliance across multiple jurisdictions. Translation of legal documents, privacy policies, and compliance materials will become more critical and more complex.

Vertical-Specific Solutions

Rather than competing as horizontal platforms, successful Irish startups are increasingly focusing on vertical markets, fintech, healthcare, energy management, and cybersecurity. This specialization extends to localization, where domain-specific translation quality matters more than broad language coverage.

Key Takeaways for Irish Founders

As one tech lead at a Dublin-based SaaS startup noted: “Tools like SMART help us scale without a localization team. We don’t just save time—we finally trust what we ship.”

For Irish startups planning international expansion in 2026 and beyond:

Start early: 

Localization isn’t a late-stage problem. Building internationalization into your product architecture from day one prevents costly retrofitting later.

Leverage technology: 

Tools like MachineTranslation.com’s SMART feature deliver professional-grade translation quality without professional-grade costs. Use AI translation for the bulk of content, reserving human expertise for creative and legally critical materials.

Focus on priority markets: 

Don’t try to launch in 10 countries simultaneously. Identify 2-3 key markets, localize thoroughly, learn from initial customers, then expand. Quality localization in fewer markets beats superficial translation in many.

Measure localization ROI: 

Track conversion rates, support ticket volume, and customer acquisition costs by language. Data-driven localization decisions beat gut instinct.

Build partnerships: 

Connect with local advisors, marketing agencies, and customer success managers in target markets. Language translation is necessary but not sufficient, cultural understanding drives success.

The barriers to global expansion for Irish startups have never been lower. With Ireland’s startup ecosystem ranking 9th in Western Europe and 16th globally, strong government support, and AI-powered localization tools, 2026 represents a breakthrough year for Irish tech companies ready to scale beyond English-speaking markets.

As the global machine translation market continues its rapid growth trajectory, and as platforms like MachineTranslation.com evolve their consensus-based approaches, the translation bottleneck that once slowed international expansion is becoming a manageable workflow step rather than a strategic barrier.

For Irish founders, the message is clear: the technology, funding, and market conditions are aligned. The time to scale globally is now, and the localization tools to do it efficiently finally exist.

 

Want to explore how AI is transforming other areas of Irish tech? Check out our coverage of how AI is revolutionizing the financial industry and discover Ireland’s top emerging tech startups in 2025.

The Tech Behind Live Streaming

Live streaming has become one of those things people use every day without thinking about what makes it work. It sits behind video calls, investor briefings, gaming platforms, remote onboarding, and half of the entertainment world. When a stream loads instantly, nobody notices. When it doesn’t, suddenly the entire system feels fragile. The truth is that the technology behind live streaming is layered, messy, and constantly evolving in the background while the front-end looks calm.

How Real-Time Streaming Became a Standard

The shift toward real-time delivery hasn’t come from one industry alone. Finance, gaming, education, and entertainment all pushed for it in different ways. The gaming sector, in particular, raised the bar. Many non GamStop casino sites offer live dealer table games, which depend on smooth video to keep the entire experience believable. When the cards hit the table, the player sees it instantly. If there’s lag or the picture breaks, people stop trusting what’s on the screen.

That need for precision forced streaming providers to rethink everything from how video is encoded to how far it travels before it reaches the viewer. Those same upgrades now support financial dashboards, compliance recordings, large-scale investor calls, and other tools that demand immediate data without distortion. Live streaming didn’t grow because it was trendy. It grew because different sectors relied on it for different reasons and ended up shaping one another’s standards.

Why Compression Does Most of the Heavy Lifting

When someone tunes into a live stream, what they actually receive isn’t raw footage. It’s been compressed, trimmed, rearranged, and re-encoded in milliseconds. Most people never think about this part because they never see it.

Compression technology has changed quietly but dramatically. Older systems used fixed rules; newer systems adapt on the fly. If your connection weakens, the stream doesn’t stop; it reorganises itself. The sharpest details stay sharp, less important parts soften, and the video keeps moving.

This adaptability is what lets a financial analyst watch a live earnings call on a train, or a remote employee take part in an onboarding session from a café. Everything hinges on compression working fast enough that the viewer doesn’t realise anything changed.

The Importance of Edge Routing

Another piece of the puzzle sits at the “edges” of the network. Instead of sending all traffic through distant servers, companies now place smaller nodes closer to users. It shortens the distance data has to travel, which cuts down the delay.

Streaming companies borrowed this approach early, but now finance relies on it heavily, too. A real-time trading screen can’t freeze just because thousands of people log in at once. Edge routing spreads the load, redirecting traffic before it builds into a bottleneck.

The biggest advantage is stability. If one route slows down, another picks up the slack. Viewers never notice the switch, but without it, delays would be constant.

Security Built Directly Into the Stream

As streaming expanded, so did the security expectations around it. Encryption is now standard from the moment the feed is created. Tokens determine who can access it. Some systems rebuild the stream each time someone logs in, just to keep it from being reused elsewhere.

In the finance world, this matters because live-streamed meetings often contain sensitive information. In gaming, it matters for a different reason: payments and personal details move through the same systems that carry the video. Platforms want to make sure the wrong person can’t intercept or mimic the stream. Security isn’t a checklist anymore. It’s part of the architecture.

Latency and the Psychology of Timing

Latency, the small delay between an action and the viewer seeing it, affects how people interpret what happens on a screen. A one-second delay during a live interview feels uncomfortable. A half-second delay during a digital card game feels suspicious.

To shrink latency, developers trimmed how long each step takes: capturing, compressing, routing, and displaying. They removed extra buffer space. They rewrote how devices prioritise streaming data over background processes.

The result isn’t instant, but it is close enough that people feel as though the moment is happening right in front of them. In an economy that depends on trust, whether financial or recreational, that perception matters.

AI in the Control Room

A few years ago, live streaming relied mostly on fixed rules. Now, AI systems adjust quality before a user even notices a problem. They guess when the connection is about to dip and prepare alternative routing. They identify whether the image is too sharp for the available bandwidth and soften it before the viewer sees a glitch.

Some platforms use AI to detect motion and decide what needs the most clarity. Others predict peak usage times and shift server loads ahead of time. It is invisible work, but it is the reason modern live streams rarely collapse the way they used to.

How Different Sectors Shape the Technology

The strange thing about live streaming is that the industries shaping it rarely share the same goals. Finance wants reliable logs and verifiable security. Gaming wants speed and low latency. Education wants accessibility on low-bandwidth connections. Entertainment wants clarity.

Because all of these needs overlap in certain places, streaming providers have been forced to build systems that can handle unpredictable demands. A platform that streams a quarterly earnings call in the morning may be supporting a thousand gaming streams at night, and both expect flawless performance. This cross-influence is why live streaming keeps evolving even when users don’t notice any change.

Why the Future Will Depend on Consistency

As AI tools expand, as remote work continues, and as more industries move toward real-time platforms, the pressure on live streaming will only increase.

The next big improvements likely won’t be flashy. They’ll be structural: cleaner paths for data, faster response times during heavy usage, and new protections for everything that moves across a live feed.

Streaming has become one of the quiet pillars of the digital economy. The more people depend on it, the more the technology shifts from convenience to infrastructure.

Conclusion

Live streaming is no longer something reserved for entertainment. It supports financial markets, business operations, gaming platforms, identity verification, and daily communication. Its evolution has been shaped by the industries that needed it most. Often, without users realising the influence behind the scenes.

As more services depend on real-time interaction, streaming will continue moving from a background tool to a core part of how digital systems run. The better it gets, the more invisible it becomes and the more essential it is.

 

How Tech Is Becoming A Prominent Team Member For Legal Teams

In the legal industry, time is everything. And it seems the days of teams spending long hours handling paperwork and manual processes are long gone. As businesses embrace digital technology and become more data-driven, legal teams are under increasing pressure to manage information faster and more effectively. Technology helps fill this gap, becoming an increasingly valuable support and, for many firms, a valued member of the team.

Saving time and money for greater efficiency

The role of a legal team goes beyond providing legal advice. For many businesses, legal departments help form business strategy, in addition to supporting governance and managing risk. Combined with a changing work environment, legal teams need tools that will allow them to work more efficiently, track decisions and access information quickly. While they may not have moved as swiftly as others, legal firms and teams are finally realising the benefits technology can bring.

The impact of technology

Modern legal technology can help with many day-to-day activities. From contract management to compliance tools, teams can process information faster than ever, using collaboration tools to improve visibility across different departments and avoid delays. 

Using AI and automation software, teams can save time on repetitive administrative tasks, allowing legal professionals to focus on higher-value work. With 80% of Irish SMBs set to adopt AI within the year, it seems legal teams are embracing a broader shift towards more effective ways of working, where technology supports decision-making rather than simply taking over traditional human roles. 

Using eDiscovery to benefit in-house teams

One of the most beneficial areas of technology for legal teams is eDiscovery for in-house corporate teams. While discovery may have been previously outsourced, this technology helps teams collect, search and review information to produce reports faster than ever before. For in-house teams, this helps provide greater security over data while boosting response times to keep costs low and maintain compliance. Strict data management is crucial for businesses and organisations, and keeping this information in-house can help remove additional layers of risk.

What’s next?

Legal technology will continue to evolve, becoming a valued team member that supports and enhances the work of firms and in-house teams. By focusing on better integration and tools that solve many common legal challenges, tech can become a partner to allow teams to stay agile. Firms must find ways to introduce this technology and embrace it, keeping up the pace with other business areas like marketing, research and accounting. 

Technology is no longer just a future consideration for legal teams; it can help shape day-to-day operations and save money and time. Efficiency is key for businesses, and the tools available now, alongside those that may be introduced in the future, can help teams work faster and smarter – saving time and money. Teams that put this technology to good use can discover the opportunities available, enhancing legal expertise and freeing up time to focus on the areas that bring value to the business instead. 

UMEVO Note Plus – Magnetic AI Voice Recorder Review

The UMEVO Note Plus – Magnetic AI Voice Recorder is a handy new kit to  have at your disposal which can save you time and effort and the thing here is its size which is remarkable and literally the size of a credit card which uses ChatGPT and complies with GDPR.

This is also not constrained to a single OS use and works with Android iOS, Windows and Linux making it more flexible than others out there on the market.

You will need to download and app called AI DVR App to use it on your smartphone which is how we tested it out and it works rather well after time and occasionly like all other offerings picks things up wrong but for the most it works and what is also great here is the support for up to 140 languages.

The device itself is also well made and looks premium too and can attach to the back your smartphone with MagSafe or you can use the ring provided in the box so here again a win for non Magsafe devices.

The UMEVO NOte Plus gives real-time transcription, simultaneous interpretation, conversation translation, and smart audio editing—bringing professional-grade language processing to your fingertips.

There is a tiny display up top and one button so no messing around here either and it is simple to use as you will see in the full video review down below.

This is an ideal tool for workplace professionals, medical professionals, legal workers, journalists, teachers, students, sales representatives, content creators, and 100+ other professions and certainly has started to make life easier for me over the last while and it is also not expensive either.

The AI DVR App

Features

 

  • Free unlimited transcription: Enjoy free unlimited transcription minutes in your first year with no restrictions (Year 2 onward: see the FAQ at the bottom of this page)
  • New features: Real-time transcription, simultaneous interpretation, conversation translation, and smart audio editing—bringing professional-grade language processing to your fingertips
  • Powered by AI: Advanced AI transcription and summarization developed with ChatGPT and more—featuring multiple professional templates for various use cases and support for 140 transcription languages, with built-in translation functionality
  • Dual-mode recording: One-press meetings and calls capture
  • Storage & Battery Specs: 64GB storage, 40-hour continuous recording, 60 days standby
  • Data security: SOC 2, HIPAA, GDPR, and EN 18031 compliant
  • Device compatibility: Apple, Samsung, Google, Xiaomi, Motorola, OPPO, OnePlus, TCL, Honor, and other major brands
  • Perfectly suited for: workplace professionals, medical professionals, legal workers, journalists, teachers, students, sales representatives, content creators, and 100+ other professions

BUY

Other tech reviews

Video Review

Researchers Use AI to Create Optimized Engine Components That Outperform Human Designs

The gerotor tooth profile is crucial for determining hydraulic system performance in automotive engineering. In a new development, researchers from Pusan National University have leveraged conditional generative adversarial networks for machine learning-driven gerotor profile synthesis and optimization. The novel approach has remarkably produced designs that outperform human efforts and lead to 32% more efficient hydraulic pumps, potentially revolutionizing the automotive industry.

Gerotor pumps for oil circulation and lubrication are crucial components in automotive and hydraulic systems. They possess a compact design, excellent flow rate per rotation, and high suction capability. The gerotor tooth profile plays a significant role in determining the overall performance of hydraulic systems for engine lubrication and automatic transmission. Unfortunately, conventional design methods leverage predefined mathematical curves and iterative adjustments, which compromises their optimization flexibility.

In an innovative breakthrough, a team of researchers from the School of Mechanical Engineering at Pusan National University, led by Professor Chul Kim, has proposed a new design methodology. Their findings were made available online on 10 October 2025 and have been published in Volume 162, Part D of the journal Engineering Applications of Artificial Intelligence on 24 December 2025.

The key point of this study is the use of AI, specifically, a conditional generative adversarial network, as a design tool. Instead of relying on the traditional approach of using predefined mathematical curves, the researchers trained an AI to automatically generate new gerotor profiles. The AI learned from a dataset linking specific, high-performance profile geometries to their actual performance data. This innovation allowed it to understand why certain shapes perform better than others, and then generate new, highly-optimized geometries that substantially outperform traditional designs.

The team demonstrated that their novel AI-generated design exhibits substantial performance gains in simulation validation via computational fluid dynamics. Compared to a traditional ovoid profile, the proposed design achieved a 74.7% reduction in flow irregularity. This means the pump’s output is significantly more stable and consistent. It also shows a 32.3% increase in average flow rate, which indicates better volumetric efficiency, as well as a 53.6% reduction in outlet pressure fluctuation, which directly contributes to quieter operation and reduced vibration.

The most direct real-life applications of the present work are in the automotive industry. The reduction in pressure fluctuation and flow irregularity is highly beneficial here. It can lead to transmission systems that operate more quietly and could potentially improve component reliability by reducing vibration and unstable hydraulic stress. Furthermore, the 32.3% increase in average flow rate allows for more efficient oil circulation throughout the engine. This contributes to better lubrication and cooling of engine components, which is critical for engine durability.

Prof. Kim remarks: “The same principles demonstrated in our study are applicable to various hydraulic pumps used in industrial machinery, where efficiency, low noise, and reliability are important factors, making our technology highly lucrative for real-life adoption.”

In the next 5 to 10 years, methods like this could become a standard tool for engineers. It represents a move toward “inverse design,” where an engineer can specify the desired performance targets, such as “minimize pressure fluctuation,” and the AI assists in generating an optimal geometry to meet those targets. Moreover, this approach can speed up the research and development cycle for complex mechanical components. It allows for the exploration of a much wider design space than is possible through traditional manual iteration.

“Crucially, for the public, the adoption of more optimal components can mean the machines we use daily become quieter and more reliable. In the automotive sector, this translates to vehicles with more efficient and durable hydraulic systems like transmissions and oil pumps,” concludes Prof. Kim.

Reference

Title of original paper: Machine learning-driven gerotor profile synthesis and optimization using Conditional Generative Adversarial Networks

Journal: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2025.112604

Image credit: Chul Kim from Pusan National University

Quest Software Opens New Centre for Advanced AI Architecture in Ireland

Quest Software, a global leader in data management, cybersecurity, and platform modernization, today announced the opening of its new Centre for Advanced AI Architecture. The opening is supported by the Irish Government through IDA Ireland. To learn more, visit quest.com.

AI adoption is increasing across every sector, and organizations need stronger foundations in data, security, and modern platforms. The new centre will play a central role in meeting these needs through applied research and development, and engineering work, to deliver market-leading and first-of-a-kind innovations that will help drive customer success and Quest growth.

The centre expands Quest’s global AI initiative and strengthens the company’s focus on helping customers succeed in the AI era. This includes a $350 million capital infusion announced earlier this year along with new executive leadership to support Quest’s growth. The planned investment in the Cork Centre for Advanced AI Architecture is a key part of that initiative and supports the company’s strategy across three key areas: trusted AI-ready data, AI-powered cybersecurity, and platform modernization to scale with AI demands. The centre will serve as a hub for applied research and development. Teams in Cork will work across AI engineering, data science, cybersecurity, and software development to advance these priorities and strengthen Quest’s market-leading products in these areas.

Michael McGrath, European Commissioner for Democracy, Justice, the Rule of Law and Consumer Protection said: “I am very pleased to join the team at Quest Software here in Cork to celebrate this significant investment in skills, talent, and jobs. The European Commission recognises the urgent need to expand Europe’s pool of AI expertise. That is why, a few months ago, we launched the AI Continent Action Plan — to train and attract more AI researchers and professionals, and to strengthen AI skills and literacy across our workforce.

The announcement aligns perfectly with that ambition. It strengthens Europe’s innovation capacity and is a strong endorsement of Cork and the wider Southwest region. It demonstrates the role Cork plays as a dynamic contributor to Europe’s digital future, and its importance for companies like Quest as they scale their European presence.”

Tim Page, CEO at Quest Software said: “This investment strengthens our growth and supports the work we are doing to advance our products for the AI era and help us deliver AI that customers can trust. By investing in technology and talent, and partnering with local universities and research institutions, we can help develop the next generation of AI and cybersecurity professionals.”

Peter Burke, TD, Minister for Enterprise Tourism and Employment said: “Quest Software’s decision to expand in Cork is a fantastic endorsement of Ireland’s reputation as a hub for innovation and talent. This investment will create high quality jobs and strengthen our technology ecosystem. The Government is committed to fostering an environment where companies like Quest can thrive, and to supporting long-term regional growth. The announcement is a clear signal of confidence in our workforce and enterprise strategy. I wish Quest Software every success in the future with the new Centre for Advanced AI Architecture.”

Dónal Travers, Executive Director, IDA Ireland said: “The opening by Quest Software of its Centre for Advanced AI Architecture, which is being announced, signifies the company’s vote of confidence in Ireland’s AI innovation environment. This project positions Quest at the forefront of Enterprise AI transformation, delivering technically differentiated solutions that offer global impact. I wish to congratulate the Quest team and assure them of IDA Ireland’s continued support and partnership.”

Quest’s investment and the creation of new roles will contribute to an economic impact in Cork and across Ireland. According to IDA Ireland, every 10 jobs created in IDA client companies support an additional eight jobs in the wider economy.

As part of its expansion plans with the new Centre for Advanced AI Architecture, Quest plans to collaborate with Irish universities to develop courses, training programs, and skills development opportunities focused on AI and cybersecurity for people interested in technology careers.

Ireland has become a leading location for AI research and skills. The country produces nearly 1,500 AI-related Masters graduates each year and has nearly doubled its PhD output in AI fields since 2019. Ireland was also the first country to develop an industry-driven nationwide Postgraduate Master of Science in Artificial Intelligence. This depth of talent and the active research environment were important factors in selecting Cork for the new centre.

27% of IT leaders concerned about ability to detect deepfake attacks

Storm Technology, a Littlefish company, today announces survey findings which reveal that 27% of IT leaders are concerned about their ability to detect deepfake attacks over the next 12 months. This concern was felt by more respondents in larger enterprises (33%) than SMBs (23%).

The research – conducted by Censuswide and involving 200 IT decision-makers and leaders across Ireland and the UK (100 in each market) – found that the biggest concerns around AI and security over the next year are data breaches (34%), data protection (33%), and increased risk of adversarial or cyber-attacks (31%). Meanwhile, a quarter (25%) consider shadow AI (use of unsanctioned or unpermitted tools) among their biggest concerns.

This is not necessarily surprising given that half of respondents (50%) know that people in their organisation are using such tools and some 55% admitted to using unsanctioned or unpermitted tools themselves. Forty-two per cent of IT leaders also opined that company data is not safe for input into these platforms.

Perhaps exacerbating this issue, just 60% of companies have been specific about which AI tools are sanctioned or permitted.

More broadly, over a fifth (21%) of IT leaders do not have a high degree of trust in AI tools and almost a third (32%) of companies do not have a strategy in place to address any AI risks that arise.

The research showed that 79% of IT leaders in Ireland and the UK agree their organisation needs to focus more on the regulation of AI tools and 28% do not believe their governance around AI tools is adequate. This rose to more than a third (35%) among Irish respondents.

When it comes to AI and data, 24% of IT leaders do not think their business data is ready for AI, with a similar proportion (23%) of the opinion that that their data governance policies are not robust enough to support secure AI adoption. This could explain why 78% believe a data readiness project is required to ensure successful AI adoption in their company.

Sean Tickle, Cyber Services Director, Littlefish, said: “AI is rapidly reshaping the enterprise landscape, but the speed of adoption is outpacing the maturity of governance. When nearly a third of organisations lack a strategy to manage AI risk, and over half of IT leaders admit to using unsanctioned tools, it’s clear that shadow AI isn’t just a user issue—it’s a leadership one.

“Deepfake threats, data governance gaps, and a lack of trust in AI platforms are converging into a

Ergo named Microsoft Ireland Azure Partner of the Year

Ergo, Ireland’s leading IT solutions provider, has been named Microsoft Ireland Azure Partner of the Year 2025. Ergo received this prestigious award for its consistent excellence in leveraging Microsoft Azure technologies to drive transformative results for organisations.

This recognition highlights Ergo’s leadership in cloud migration and digital transformation, emphasising the company’s exceptional Azure expertise and its ability to deliver innovative and impactful cloud solutions. Ergo was distinguished by its ability to lead large-scale Azure migrations and deliver Azure AI solutions that address complex business challenges while prioritising security, cost efficiency, and agility.

Microsoft commended Ergo’s technical depth and its year-on-year growth with a strong focus on helping customers modernise their IT environments. The company’s track record of supporting organisations in migrating to the cloud and leveraging technology to improve efficiency and resilience was also highlighted.

Commenting on the announcement, Steve Blanche, CTO at Ergo, said:

“We are immensely proud to be named Microsoft Ireland Azure Partner of the Year once again. This award is a testament to the expertise and commitment of our people, who go above and beyond to deliver genuine value for our customers every day. Over the past three decades, we have built a strong and lasting partnership with Microsoft, one that continues to develop as technology advances. Together, we are helping organisations in Ireland to adapt, innovate, and maximise their investment in the cloud.”

Clare Hillis, Enterprise Partner Lead at Microsoft Ireland, extended her congratulations and added:

“Ergo has excelled at delivering impactful transformation for our customers, successfully managing some of the largest and most complex cloud migrations this year. Throughout this period, we have seen Ergo and our customers working in strategic partnership and going from strength to strength. I’m absolutely delighted to congratulate Ergo on this recognition, as there is no partner over the last 12 months that has deserved this award more.”

This latest award highlights the depth of expertise and collaboration between Ergo and Microsoft, reinforcing their shared commitment to support organisations in Ireland on their digital transformation journeys.

Ergo has also renewed its certification as a Microsoft Azure Expert Managed Service Provider. Having first achieved this elite accreditation in 2021, Ergo has successfully passed a rigorous independent audit of its IT service management capabilities across people, process, and technology. This certification confirms Ergo’s ability to deliver consistent, repeatable, innovative managed services on Azure, meeting the highest standards set by Microsoft for technical capability, customer service, and operational excellence.

Together, these achievements reinforce Ergo’s recognition as Azure Partner of the Year 2025 and reaffirm its position as one of Ireland’s leading Azure partners.

You can find more information on Ergo’s cloud migration and AI capabilities here.