Turing

Join us at ICLR for an evening of insights, conversation, and connection. Turing is hosting a Happy Hour focused on the evolving role of LLMs and the future of AI. We’ll bring together researchers advancing state of the art foundation models and enterprise leaders driving real world innovation. This is a chance to connect in a relaxed setting just steps from the convention center, alongside peers from across the AI ecosystem including teams from Google, Meta, OpenAI, Anthropic, Amazon, Microsoft, Salesforce, ServiceNow, IBM, Adobe, and more. Drinks and light fare will be served. When: Thursday, April 23, 6:00 PM to 9:00 PM GMT-3 If you’re at ICLR, we’d love to meet you! https://luma.com/w8ae8mbw

Reinforcement learning research often depends on static benchmarks and obscure leaderboards. But real evaluation happens inside environments, with specific tools, prompts, constraints, and workflows. Today, we’re launching the Turing RL Environments Evaluation Platform. Researchers now have direct, real time access to: -The exact production RL environments used in evaluation -Full tool inventories and prompt transparency -Explicit QA rubrics and scoring criteria -Live, harness-integrated leaderboards -Interactive demos of agent workflows No abstractions. No summarized results. Just the system itself. Explore the platform at https://evals.turing.com/

Join Turing's Jonathan Dodson, General Manager, Enterprise AI & RL Environments, for this dynamic ICLR session: A Framework for Evaluating Agents on Stateful, Multi-Step Real-World Workflows He'll cover: - Enterprise AI adoption and benchmark gaps - A three pronged framework to enhance evaluation - Results and future work When: Apr 24, 2026, 12:45 PM, Ste. 201 C See you there! https://lnkd.in/ggPkdvAn

AI is changing how work gets done. The real question is how teams adapt. According to Computerworld, the shift, from tool proficiency to operational judgment, is forcing enterprises to rethink how they train employees for AI. It is changing how decisions are made, roles are defined, and how teams operate. “If my team members come to me every week with ideas for improving or expanding AI use cases, that’s the signal that capability is growing" - Taylor Bradley, Turing VP of Talent Strategy & Success As enterprises move beyond early AI experimentation, leadership clarity may prove just as important as any skill employees learn. Some great insight in this article. Learn more: https://lnkd.in/gUvWicxx

Internal knowledge is one of the biggest untapped advantages inside large organizations. Too often, critical information lives across documents, policies, disconnected systems, inboxes, and tribal knowledge. The result is slower decisions, repeated questions, and wasted time. That’s where AI creates immediate ROI. Turing partnered with a large government agency to deploy a secure multilingual AI assistant that gives employees faster access to internal knowledge in both Arabic and English. The impact: • Query resolution reduced from hours to minutes • Secure alternative to public AI tools • Unified access across fragmented internal repositories • Scalable foundation beyond the initial 500-employee pilot • Improved accessibility with right-to-left language support This is what real enterprise AI looks like. AI embedded into everyday workflows that help organizations move faster, serve employees better, and unlock productivity at scale. The next wave of AI value will come from operational transformation inside enterprises, governments, and institutions. That future is already being built by Turing. Learn more about this case study: https://lnkd.in/gf2bpdPw

Bad data doesn’t just slow organizations down. It quietly leads teams to the wrong decisions. If you want insights you can actually trust, it starts with getting data quality right. Here are four dimensions every team should pay attention to: -> Accuracy Is your data correct and reflective of reality? If not, every analysis built on top of it is compromised. -> Completeness Are you working with the full picture? Missing data creates blind spots that can skew outcomes. -> Consistency Does your data align across systems and sources? Conflicting numbers quickly erode confidence and trust. -> Timeliness Is your data up to date when decisions are made? Outdated information leads to outdated strategies. These are not just technical considerations. They directly impact business performance, decision making, and long term strategy. Strong data quality is the foundation of every reliable insight. How is your team approaching data quality today? Learn More: https://lnkd.in/gDfwyqnm

Join us at ICLR for an evening of insights, conversation, and connection. Turing is hosting a Happy Hour focused on the evolving role of LLMs and the future of AI. We’ll bring together researchers advancing state of the art foundation models and enterprise leaders driving real world innovation. This is a chance to connect in a relaxed setting just steps from the convention center, alongside peers from across the AI ecosystem including teams from Google, Meta, OpenAI, Anthropic, Amazon, Microsoft, Salesforce, ServiceNow, IBM, Adobe, and more. Drinks and light fare will be served. When: Thursday, April 23, 6:00 PM to 9:00 PM GMT-3 If you’re at ICLR, we’d love to see you there: https://luma.com/w8ae8mbw

We’re excited to be part of ICLR this year, joining some of the brightest minds shaping the future of AI. Turing is proud to be a Diamond Sponsor of #ICLR2026 one of the world’s leading conferences advancing deep learning. Turing accelerates frontier AI research and enterprise deployment through a compounding loop. We deploy AI systems in real world environments, observe where they break, convert those failures into structured data, improve frontier models, and redeploy them into production. This continuous cycle transforms deployment friction into training signals and makes intelligence more reliable over time. From cutting edge research to real world applications, this is where ideas turn into impact. Our team is looking forward to sharing what we’ve been building, learning from the community, and connecting with others pushing the boundaries of machine learning. When: April 23 - 27, 2026 Where: Rio de Janeiro, Brazil, Booth #301 If you’re attending, let’s connect. We’d love to exchange ideas and explore what’s next for AI.

Tomorrow! Grace Gong will interview Turing Co-Founder Vijay Krishnan about talent, working with every major lab on coding, reasoning, and multimodality, designing RL environments from real enterprise workflows so models learn agentic behavior that drives actual ROI, and so much more. When: Tuesday, April 14th at 9:00 AM PT, Where: LinkedIn Live Register below. You won't want to miss this!

Enterprise AI is evolving into systems of agents that work across functions, and Turing is helping enable that transformation with Humain One. A recent partnership between HUMAIN and Turing highlights where things are heading. Together, they’re launching an AI agent marketplace designed to help enterprises discover, deploy, and scale AI across core business functions. Each company plays a distinct role: -> Humain is contributing AI infrastructure and orchestration capabilities -> Turing is helping power the underlying architecture and intelligence layer -> The marketplace enables developers to build and monetize AI agents for enterprise use As Jonathan Siddharth, CEO and co-founder of Turing, explained: “Turing is contributing to the underlying architecture of the marketplace, particularly in areas such as model evaluation, fine-tuning, reasoning systems and enterprise AI deployment.” Companies that can operationalize AI at scale will define the next wave of growth: https://lnkd.in/g9j-KEgZ via Arab News