OkAI builds the core infrastructure that lets AI operate in the real world. Our products capture and structure multimodal frontline workflows, map entire occupations, train agents, and ensure reliability. Together, they form the context, curriculum, evaluation, and safety layer that every real-world agent needs.
You can practice prompts all day, but mastery requires real workflows.
Gold Outcome Traces place agents in the rich, unpredictable terrain of frontline work — the Epic screens, the noisy wards, the vendor calls, the shifting priorities. Just as gameplay sharpens tennis, real traces sharpen real agents.
This is the closest AI gets to experiencing the physical world without a body.
OkAI's framework for training agents using real-world consequences rather than human preferences. Unlike RLHF, RLOF grounds learning in measurable outcomes.
In the physical world, there are no preferences — only outcomes. Either the patient was discharged safely or they weren't. Either the food line passed HACCP or it didn't.
Our RLOF packs teach agents through consequence, not opinion. It's how AI learns reality's hard rules — the difference between merely responding and truly operating.
Some things can be measured: did the agent complete all 147 steps of a discharge? Did it use the right vendor? Did it avoid a HIPAA breach?
Our occupational ontologies are the scorecards of the physical world — the structured blueprint that distinguishes competence from catastrophe. They capture the subtlety of judgment, the nuance of sequencing, the invisible logic only experts understand.
Before an agent can be corrected or reinforced, it needs a baseline: how to navigate CarePort, how to route a pallet, how to document a safety check.
Our SFT sets are the apprenticeships of Physical AI — the demonstrations where experts show models not just what to do, but how the work feels.
AI cannot act in hospitals, warehouses, or kitchens without remembering how those worlds behave.
Context Window Packs provide agents with the long, sprawling memory of a profession — the policies, edge cases, tools, and exceptions that define mastery. This is how agents stop improvising and start understanding.
Academic benchmarks tell you nothing about whether an agent can run a discharge or avoid a safety violation.
Our evaluation harness becomes the gold standard of trust: Does the agent complete the workflow? Does it respect safety? Does it avoid hallucination? Does it maintain reliability under pressure? This is the exam every Physical AI agent must pass before entering the real world.
Models improve — and regress. Enterprises cannot risk silent degradations.
OkAI regression testing constantly retests agents against real-world traces: Did step 87 break? Did the agent start skipping documentation? Did a tool-use pattern degrade? Just as a conductor listens for dissonance in a symphony, we listen for failure across versions.
No agent leaves staging without proving stability.
Doctors require board exams. Pilots require check rides. Agents require OkAI Certification.
Experts across domains shape the pass/fail standards embedded in our certification: clinical safety, operational robustness, tool-use accuracy, real-world decision-making. Certification becomes the trust badge enterprises and regulators demand.