Top AI agents fail enterprise workflows 63% of the time.Here's why it matters. ServiceNow partnered with Turing to build EnterpriseOps-Gym, a benchmark designed around how enterprise work actually happens. Turing contributed 1,000+ prompts across HR, ITSM, CSM, Email, Calendar, Drive, Teams, and hybrid workflows. Tasks ran 7 to 30 steps with real policy constraints, evaluated by deterministic verifier scripts checking actual system state, not just output quality. The top frontier model hit only 37.4% task completion. Giving agents human-authored plans improved that by 14 to 35 percentage points, which means planning is the bottleneck, not capability. If you're deploying enterprise agents and haven't tested them on long-horizon, stateful workflows, your evals are leaving blind spots. Full case study: https://lnkd.in/gK-DBss5
Turing
Technology, Information and Internet
San Francisco, California 1,906,528 followers
Accelerating Superintelligence
About us
Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Turing’s talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Turing—based in San Francisco, California—was named #1 on The Information’s annual list of “Top 50 Most Promising B2B Companies,” and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.
- Website
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http://turing.com/s/wY0xCJ
External link for Turing
- Industry
- Technology, Information and Internet
- Company size
- 1,001-5,000 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2018
- Specialties
- B2B, AI, Machine Learning, Hire Developers, AI Services, Tech Services, LLM Trainer Services, AGI Infrastructure, and AI Agents
Locations
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Primary
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548 Market St
San Francisco, California 94104, US
Employees at Turing
Updates
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Building production-ready RL environments for commercial workflows is not a UI problem. It is a systems problem. Turing delivered a fully operational RL Gym designed to train and evaluate AI agents on real-world sales execution across enterprise tools. Key build metrics: -100+ structured workflows spanning inbound and outbound sales motions -4 enterprise platforms replicated: LinkedIn Sales Navigator, HubSpot, Outreach, Calendly -50+ multi-platform workflows requiring coordinated execution across all four tools -Full coverage across integration tiers from single-platform to four-platform tasks -Pass@3 framework applied to calibrate workflow difficulty and generate reliable RL signals What makes this different from typical agent training setups: -Sandboxed UI replicas with realistic data and full state coverage -Natural-language prompts mapped to structured workflow blueprints -Step-level verifiers using assertion-based validation instead of heuristic scoring -Cross-platform evaluation using shared run IDs for end-to-end task validation -Standardized verifier API producing structured reward signals -Dockerized delivery for immediate integration into training pipelines This enables: -Objective measurement of agent performance at both step and workflow levels -Identification of failure modes within complex multi-step execution -Safe training on production-like systems without exposing live environments -Scalable experimentation across tools, workflows, and difficulty tiers Moving from isolated UI tasks to coordinated, multi-platform agent behavior requires infrastructure that mirrors real execution environments. This RL Gym is that foundation: https://lnkd.in/gvrE3b46
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𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐒𝐮𝐩𝐞𝐫𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐖𝐢𝐥𝐥 𝐁𝐞 𝐖𝐨𝐧 𝐨𝐧 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐋𝐨𝐨𝐩 Most AI companies only see half the picture. Data companies build the training sets but never see how models hold up in production. Systems integrators ship AI into enterprises but have no path back into the labs. The feedback loop is broken before it starts. Turing was built to close it. We sit at both ends: generating training data, evals, and RL environments for the frontier labs, and building agentic systems for Fortune 500 companies. What surfaces in deployment informs what we build in training. Better models unlock harder problems. Harder problems sharpen better models. This is the superintelligence loop. And closing it faster than anyone else is how we fulfill our mission: accelerating superintelligence to drive economic growth. Our CEO, Jonathan Siddharth, goes deep on why this loop is the defining axis of advantage in AI. Full piece below.
𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐒𝐮𝐩𝐞𝐫𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐖𝐢𝐥𝐥 𝐁𝐞 𝐖𝐨𝐧 𝐨𝐧 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐋𝐨𝐨𝐩 The next decade of AI won't be won by the lab with the best model. It will be won by whoever closes the loop fastest, between frontier model development and real enterprise deployment. Data companies don't see deployment. Deployment companies don't see data. The signal stops at the customer. Turing sees both. We build training data and evals for the frontier labs, then deploy agentic systems into Fortune 500 companies. Every deployment sharpens the next model. Every model opens the next class of problems. Our mission is to accelerate superintelligence to drive economic growth. This is why Turing is building the superintelligence loop. Let me know your thoughts below.
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Turing reposted this
What a great way to start a Monday morning at Turing. Today our CEO Jonathan Siddharth ran an AI workshop himself. Not as a keynote. He sat in the room with us, opened his laptop, and built alongside everyone. Lots of leaders talk about AI adoption. Few block off a Sunday evening(in PST) to build alongside their team. His framing: "AI first, human second." Not a slogan - an operating principle. Flip the default. Agents do the work, humans steer and verify. The brief was simple: pick something tedious about your job and build an agent to do it for you. Tools were Claude Cowork and Codex. By the end, people had shipped things they're going to use on Monday. Quick shoutouts to my teammates for some cool stuff: → Joydip Mukherji — email triage agent that drafts replies and surfaces what needs a human → Sagar Kumar — data-validation agent that handles painful QA work in minutes → Jayesh Vyavahare — Slack task tracker so nothing falls through the cracks → Nidhi Raj — discovery-call prep agent that researches and briefs before meetings → Deep Chokshi — automated QA for evaluation reports → Dhaneesh G K — GitHub issues dashboard you can actually navigate → Kunal Aggarwal — RevOps allocation, automated → Mugil Kandasamy — approval dashboard that fires off the downstream Slack and email handoffs I built a retroactive roadmap generator that pulls meeting notes, demos, and Slack threads into sprint-level docs. Two weeks of work, twenty minutes with an agent. That kind of shift doesn't happen from a memo. It happens when a leader makes it the default and makes it visible. When the CEO is in the room building, the rest of us stop reaching for AI occasionally and start treating it as the way we work. If you're a leader wondering what AI-forward looks like in practice - it looks like this. Show up. Build with your team. #AI #Leadership #Turing #ClaudeCowork #Codex
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We’re live at DeepLearning.AI’s AI Dev 26 in San Francisco. Come see how Turing is advancing the next wave of AI, from expanding model capabilities to delivering real-world impact at scale. Stop by booth #113 to meet the team and get a closer look at what we’re building. And if you’re around this evening, join us for our rooftop happy hour from 5:00 to 8:00 PM. A great chance to connect, unwind, and keep the conversation going. Register below.
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Turing reposted this
TODAY!! We’re heading to DeepLearning.AI's Dev x SF conference this April 28–29 in San Francisco. See how Turing is shaping the future of AI, from advancing model capabilities to building real-world applications that scale. Meet the team, explore what we’re working on, and learn how you can contribute to pushing AI forward with us. If you’re passionate about building what’s next in AI, we’d love to connect. Meet you at booth #113
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We’re heading to DeepLearning.AI’s Dev 26 X SF conference, April 28–29 in San Francisco. Discover how Turing is shaping the next wave of AI, from pushing model capabilities forward to delivering real-world applications at scale. Stop by, meet the team, and get a closer look at what we’re building in booth #113. Then, join us for an exclusive post-conference, rooftop, happy hour on April 28, 5:00 PM to 8:00 PM, a great chance to connect, unwind, and continue the conversation with our team: https://luma.com/zykjaiuk
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The Turing team is on the ground at #ICLR2026 in beautiful Rio de Janeiro! 🇧🇷 If you’re passionate about AI, RL and building the path to Superintelligence, we want to meet you! Swing by Booth 301 to chat about the problems you want to solve and come build the future with us!
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ICLR Highlights: Last night we hosted an exclusive event. Connections were made, LLMs were discussed and we all had the opportunity to share ideas with peers. If you’re looking to connect with members of the team, please reach out: https://lnkd.in/gSGRujAP
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Good Morning!! ICLR atendees we are waiting for you this morning, booth #301! Our specialty? ‘The Superintelligence’ Let’s go!☕️
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