Every frontier AI lab has world-class algorithms and compute. The next axis of advantage compounds on top: data, deployment, and the speed of the loop between them.
Today’s models need data that is realistic, long-horizon, and complex enough to push the frontier. Synthetic data and academic benchmarks are not enough.
The signal lives in real enterprise workflows where reliability is non-negotiable and failures are expensive.
Data companies don’t see deployment. Deployment companies don’t see data. Turing sees both.
We work with the frontier AI labs to advance model capabilities in coding, knowledge work, and frontier STEM.
We generate high-value training data, evals, and RL environments for the leading frontier labs across coding, reasoning, tool use, and multimodality. In coding specifically, we are the largest and longest-running data provider in the category.
This work gives us a front-row view of where models are extraordinary and where they are jagged. But raw capability does not become economic output on its own. Enterprises need agentic systems built on top of the models: harnesses, workflows, evals, and human-in-the-loop guardrails tuned to the specific shape of the work.
We use this knowledge of models’ jagged intelligence to build end-to-end agentic solutions for Fortune 500 companies. Role-specific harnesses for portfolio managers, investment analysts, clinical research leads, regulatory strategists, lawyers, and the long tail of professional roles where AI delivers the most leverage.
We deploy across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG.
We also deploy software engineers into hundreds of startups across every major stack and seniority level.
Talent marketplaces and labeling operations sit upstream. They generate training data but never see how it performs once deployed.
Systems integrators sit downstream. They ship AI into enterprises but have no path back into the training loop.
In both cases, the signal stops at the customer.
Every deployment sharpens the next model.
Enterprise deployment surfaces capability gaps. Those gaps inform the data, evals, and RL environments we build for the labs.
The labs ship better models. We deploy them into harder problems. New gaps surface. The labs ship again.
Every deployment sharpens the next model. Every model improvement opens the next class of enterprise problems we can solve.
Each side is a forcing function for the other.
The next decade is won by closing the loop fastest.
The next decade of AI will not be won by the lab with the best model alone, or the company with the most enterprise relationships. It will be won by the systems and partnerships that close the loop between the two.
We are proud to partner with the frontier AI labs in advancing these models to accelerate coding, enterprise knowledge work, and scientific discovery.
Our mission is to accelerate superintelligence to drive economic growth. This is why Turing is building the superintelligence loop.
Jonathan Siddharth
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