Beyond benchmarks for AI.
Beyond tests for humans.
Uncertain Systems is built on three verticals for human and agentic learning: verification, optimization, and augmentation.
Verify hard skills before hiring a human or deploying an agent to production. Optimize learning until adoption and outcomes improve. Augment how humans and agentic systems learn.
- Human hard skill validation
- Agentic skill validation
- Help your users “learn” your app
- Form real insights (“aha!” moments) within 30 minutes
- Identify knowledge gaps within 30 minutes
See skill as distance in knowledge space.
Every workspace puts people and roles into a shared embedding geometry. Create role regions, multi-select users, and read distance to knowledge live: see how humans and agents alike do against your defined regions of knowledge.
Create custom knowledge regions from internal expert data and measure your workforce readiness without sharing confidential information about your internal systems.
Knowledge · Embeddings · Role regions · Proof of Work
We help you build a living map of proximity to any kind of knowledge. We ground our results on real and genuine work traces rather than tests, benchmarks or project uploads that can be easily cheated and faked.
A learning world model, not linear analytics.
Uncertain Systems builds a learning world model from real work: skills, scenarios, proof of work, and where reasoning breaks, instead of stitching together linear funnel analytics. Our hosted interfaces as well as our API products are all specially designed to elicit genuine raw work data from the user while at the same time minimizing the disruption of the natural cognitive process.
We go beyond LLM judged tests and benchmarks. Our conversational interfaces run on top of an interruption model (TIM — Trace Interruption Model) that uses the evolving learner model to proactively steer the thinking process.
We score whether humans and agents can perform before being hired or deployed. We optimize routes for the next practice or coaching step when gaps show up in the model. We augment by helping you outsource the right type of thinking but not the actual learning.
Hire, screen, and rank against your own knowledge requirements at volume.
The same measurement stack scales human verification, from recruitment at volume to internal mobility and agent deployment gates, without sharing proprietary skills and specs into a public repository or database.
Our hosted Think Aloud Protocol (TAP) runs live, time-framed screening for high-volume hiring without building your own UX. With our Integrated Learning Environment (ILE) we add open-ended assignment depth that is more affordable and scalable than traditional take-home assignments. We help you surface data that no traditional tech can beat.
