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Underwriters spend 60% of their time reviewing documents. Stop drowning in paperwork. Experience AI-powered speed and scale for lenders, with Kizen’s AI Document Classification and Extraction. Plug Kizen into your existing workflows and achieve: ✅ 35% higher loan processing capacity ✅ 20% faster loan approvals ✅ Seamless integration with your LOS

Unlock 24/7 employee support through AI assistants. Learn how connecting AI to your SOPs and internal policies can create a continuous, always-available help desk for new and existing employees.

Read about how our VP of Solutions, Jamie Signorile, built an AI-powered appraisal intelligence tool that eliminates the 4–6 hours lenders typically spend manually comparing data and adjusting appraisals. Here is the full breakdown in our first "Under the Hood" blog, now live on our website: https://lnkd.in/eM9nZ7AZ This series serves to highlight the innovative, industry-specific solutions our team is building for organizations looking to transform their workflows with Kizen’s AI-native platform.

We just raised $5 million in Series A funding!! GFT Ventures, BankTech Ventures, and LAUNCH are backing us because we're solving a big problem - how regulated industries actually implement AI infrastructure without cutting corners on compliance, control, or auditability. Here's what we've built: AbacusOS: Our audited AI operating system that runs entirely on-prem or in your private cloud. You keep control and get full auditability. Plus, your data never leaves your environment. Enterprise Indexer: Connects to core systems and makes institutional knowledge actually usable at scale while maintaining compliance standards. Abacus Assistant: Delivers instant answers backed by citations and traceable sources. Every response shows its work. Demand for our products has been huge. As Jay Eum from GTF Ventures put it: "Abacus sets a new standard for trust and transparency in AI." We're using this funding to expand our engineering and customer success teams, enhancing AbacusOS, and rolling out new automation features (think: AI-driven workflows, decision support, and content generation). Thanks to the entire Abacus team for making this happen. And watch this page for product releases, team news, and jobs!

Abacus raised $5 million in Series A funding. Honestly, it feels surreal to write that. I’m incredibly grateful to Jay Eum and the team at GFT Ventures for leading this round, and to Carey Ransom at BankTech Ventures and the LAUNCH Fund for believing in what we’re building at Abacus. For anyone who doesn’t know our story: my co-founder Lisa Gillespie was my accounting professor at Loyola University Chicago. (Yes, really.) People ask us all the time how that’s worked out. She was tough then, and she’s still tough now, but in the best way. The rigor, precision, and accountability she demanded in the classroom is exactly what we’ve built into Abacus from day one. Here’s what we’re solving: Regulated industries – banks, credit unions, healthcare, insurance – can't afford black-box models or data leaks. They need AI they can actually trust. That's Abacus. Abacus is on-prem AI infrastructure that keeps your data within your control. The demand from banks and credit unions has been overwhelming (in the best way possible) and now we’ll be able to meet that demand. This round lets us grow our team, deepen our platform, and keep pushing on what we believe in: AI assurance. Excited to see where this journey takes us.

🚨 GenAI projects are not stuck in pilot mode - YOUR GenAI project is stuck in pilot mode🚨 Anyone talking about “GenAI hype” and “being stuck in PoCs” is a new red-flag for me. Clients of Great Wave AI like PXC, The Insolvency Service and Warwickshire Police are not stuck in pilot mode. They have a regular cadence of production-ready GenAI use cases going live and delivering real business value. Just check out the case-studies and video interviews on our website. (Links in comments). So why are they doing so well? Right from the start, they established the need for an agent orchestration layer. This allows: ⚙️ Lots of precision agents to be built and connected quickly 📣 Collection of business user feedback 🔁 Fast iterations until quality is achieved 🧾 Audit and logging delivered out of the box 📊 A single pane of glass through which all agents can be monitored and managed In short, it is business-focussed, scalable, secure and easy for leadership to understand and sign-off. What’s more, it does all this while keeping LLMs where they should be – out of the organisation’s businesses processes and down in the commodity infrastructure layer where they can be selected in and out when things like price or performance change. With the single addition of an effective orchestration layer, everything else moves quickly - outcomes become clear, costs become predictable, resistance drops, audits succeed, and tangible public value emerges in weeks, not years. If you'd like to understand more, please get in touch.

Delighted to announce that UK Ministry of Defence will be using the Great Wave AI platform as it threads the latest in #GenAI technology through its Pan-Defence Skills Framework (PDSF). It has been incredible to see the MoD embrace the scale approach recommended by government for all departments as they start to build solutions using GenAI. Great Wave AI is a veteran-founded and heavily veteran-staffed business so this one feels really special. I cannot wait to show what our technology can do!

Humbled to be considered a Google rival in the #cloud space - all we're doing is providing the best inference and compute access to #AI teams building the future. https://lnkd.in/gXw977Da

Episode 1 of In the Clouds drops Dec 10 ☁️ Kicking things off with Seijin Jung, founder of Enrich Labs, to talk about something everyone keeps hinting at but rarely spells out: AI marketing agents. If you want a ping when it goes live, you can follow here: YouTube: <https://lnkd.in/g-hqqCzw> Spotify: <https://lnkd.in/gEAJwWmp> More soon — this first one’s a fun one. #AIMarketing #AIAgents #MarketingInnovation #GenerativeAI #FounderTalks #TechPodcast #ProductInnovation #FutureOfWork #GMICloud #EnrichLabs #Marketing #IntheClouds

Japan's largest bank is betting on Fundamental. Today, MUFG, one of the world's largest financial institutions, announced a strategic partnership with Fundamental 🤝 Full blog in the comments

Proud to see Kevin Scaman present ‘What LLMs Learn (and Don't) from Tables’ at the [ICML] Int'l Conference on Machine Learning The work shows that general-purpose LLMs rely heavily on memorization when reasoning over tabular data, with performance deteriorating as table complexity grows. Progress on tabular AI won't come from simply scaling language models. Structured data presents a different set of challenges, and solving them requires purpose-built architectures. If this sounds interesting, come join our research team

AI at scale needs the right foundations. Our long-term partnership with Microsoft brings together trusted infrastructure, responsible innovation and the capability to scale. Across cloud, compute, governance and real-world deployment, we are building foundations that can serve governments, industries and communities for years to come. Built to last. #G42 #Exponentialai #AI #Microsoft #Technology #InnovationHub

The partnerships that matter are built to last. With Microsoft, we've built more than a collaboration. We've built a long-term partnership grounded in a shared belief that the future of AI depends on trusted infrastructure, responsible innovation and the capability to scale. From cloud and compute to governance and real-world deployment, we're building foundations that will serve governments, industries and communities for years to come. #G42 #G42ai #Exponentialai #AI #Microsoft #Technology #InnovationHub

𝐓𝐢𝐜𝐤𝐞𝐫 ‘𝐅𝐔𝐒𝐄’ 𝐥𝐢𝐯𝐞 𝐨𝐧 𝐍𝐀𝐒𝐃𝐀𝐐 𝐭𝐨𝐦𝐨𝐫𝐫𝐨𝐰! We have successfully completed our business combination with CSLM Acquisition Corp., and starting 23 October 2025, Fusemachines' common stock will trade on the Nasdaq Global Market under the symbols “FUSE". Behind every milestone is a team of extraordinary minds. At Fusemachines, our journey has always been guided by collaboration, innovation, and a shared belief that AI should be accessible to all. As we begin this exciting new chapter, we celebrate our global team, partners, and supporters who have fuelled our mission to bring the power of AI to every corner of the world. #DemocratizeAI Press release: https://lnkd.in/gisW854h

Fusemachines welcomes Genese Solution, an Amazon Web Services (AWS) Premier Tier Services Partner, to its Global Reseller Network as an authorized reseller of Fusemachines' AI Studio and AI Engines.

Bare metal. Real infrastructure. Actual impact. Join one of the fastest growing AI Infra teams today.

Turn bare metal into gold with Fluidstack.

What's so special about 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 𝗩𝟰 by DeepSeek AI? In the few weeks since launch, 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 and 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗙𝗹𝗮𝘀𝗵 have surged to the top of the most-used open-weight models on OpenRouter. Both are now live on 𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝗶 𝗗𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝗘𝗻𝗱𝗽𝗼𝗶𝗻𝘁𝘀 with a 1M-token context window by default. 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗙𝗹𝗮𝘀𝗵 is the one redrawing the performance-efficiency frontier: 🧬 284B total parameters and 13B active parameters per token 📈 91.6 LiveCodeBench, 88.1 GPQA Diamond, 86.2 MMLU-Pro — within two points of 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 on most reasoning evals 🧠 At launch, on par with Claude Sonnet 4.6 (max reasoning) on the Artificial Analysis Intelligence Index 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 is the ceiling above it: 📚 At launch, the highest open-weight world-knowledge score on record — 57.9 on SimpleQA-Verified 🤖 Frontier-grade agentic coding: 90.2 Apex Shortlist, 89.8 IMOAnswerBench, 80.6 SWE Verified 📝 Long-context evals at full reach: 83.5 MRCR 1M, 62.0 CorpusQA 1M Pick 𝗙𝗹𝗮𝘀𝗵 for high-throughput agents or 𝗣𝗿𝗼 when the workload deserves a higher ceiling. 𝗗𝗲𝗽𝗹𝗼𝘆 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗙𝗹𝗮𝘀𝗵 👉 https://lnkd.in/gnjKKFG2 𝗗𝗲𝗽𝗹𝗼𝘆 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸-𝗩𝟰-𝗣𝗿𝗼 👉 https://lnkd.in/gtj3DuHK 𝗥𝗲𝗮𝗱 𝗼𝘂𝗿 𝗯𝗹𝗼𝗴 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 👉 https://lnkd.in/gAjyZGFd

🪄 The trick to faster LLM inference? Predict multiple tokens ahead — then verify them in parallel. FriendliAI Dedicated Endpoints support draft-model speculative decoding, with draft models trained and automatically paired by FriendliAI. Single toggle at endpoint creation. No application code modifications. Why it matters: ⚡ 𝗙𝗮𝘀𝘁𝗲𝗿 𝗼𝘂𝘁𝗽𝘂𝘁. The target-model verifies multiple proposed tokens in a single parallel forward pass — at roughly the cost of a standard single-token decoding step — letting the same memory traffic produce multiple accepted tokens. 🎯 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗽𝗿𝗲𝘀𝗲𝗿𝘃𝗲𝗱. Verification follows the target model’s own next-token distribution. 🔧 𝗭𝗲𝗿𝗼 𝗼𝘃𝗲𝗿𝗵𝗲𝗮𝗱. No additional training, no extra models to manage, no code changes. This breaks the autoregressive bottleneck: one token, one forward pass, repeat — where sequential decoding iterations increasingly dominate inference latency as generations get longer, and each pass spends most of its time loading weights from GPU memory. Unlike N-gram speculative decoding, which only fires on literal token repetition, the draft-model generalizes beyond literal repetition — proposing accurate candidates even when the exact sequence hasn’t appeared before. Best suited for agentic pipelines, long-form generation, and code completion. Supported target models: Gemma-4-31b-it, Kimi-K2.6, Qwen3.6-27B, GLM-5.1, GLM-5, DeepSeek-V3.2, MiniMax-M2.5. Link to blog post in first comment 👇

👀 𝐌𝐢𝐬𝐬𝐢𝐧𝐠 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐕 𝐬𝐭𝐚𝐜𝐤? Our latest deep dive shows how the Foretify development toolchain is used to generate targeted and diverse high-quality synthetic data for training the AI AV stack. 👉 Read more here: https://lnkd.in/dwW65Q_6

The gap between an AI Agent’s failure ("what") and the root cause ("why") is where engineering hours disappear. Fiddler closes that gap. Find the root cause instantly, all in one platform. Book a demo to see how healthcare teams accelerate safe AI deployment.

Debugging AI agents with logs is like searching in the dark with a flashlight. You only get clues, not context. Other monitoring tools hand you a flashlight. Fiddler turns on the lights. See the entire agentic hierarchy at once and find the root cause in seconds.

𝐖𝐡𝐲 𝐇𝐢𝐠𝐡-𝐅𝐢𝐝𝐞𝐥𝐢𝐭𝐲 𝐒𝐞𝐧𝐬𝐨𝐫 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐈𝐬 𝐂𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐟𝐨𝐫 𝐀𝐕 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 In his latest blog, Sebastian Klaas explores how high-fidelity sensor simulation is becoming essential for autonomous vehicle development. He describes how virtual testing helps validate cameras, lidar and radar faster, more flexibly and at lower cost than purely real-world campaigns. 👉 Read the full blog here: https://lnkd.in/dJBTMZ89

𝐖𝐞'𝐫𝐞 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐬𝐡𝐚𝐫𝐞 𝐭𝐡𝐚𝐭 𝐰𝐞'𝐫𝐞 𝐩𝐫𝐞𝐬𝐞𝐧𝐭 𝐚𝐭 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐅𝐨𝐫𝐮𝐦 𝐀𝐧𝐧𝐮𝐚𝐥 𝐌𝐞𝐞𝐭𝐢𝐧𝐠 𝐢𝐧 𝐃𝐚𝐯𝐨𝐬 𝐭𝐡𝐢𝐬 𝐰𝐞𝐞𝐤 🌍 As organisations move from experimenting with #AI to embedding it into core operations, questions around governance, data ownership, accountability, and trust become decisive – not optional. Our CTO, Jaromir Dzialo, will be in #Davos for conversations across technology, enterprise, and policy, exchanging perspectives on how AI can be applied responsibly and effectively in real organisational settings. Looking forward to the discussions ahead. #WEF2026 #WEF26