The foundation
for capable AI.
We build expert-reviewed training data and AI agents that do your team’s work.
Discuss a projectThe whole: data and workflows brought together in AI built for real use.
One foundation.
Different possibilities.
Three ways to build. Here’s what you get.
Data to train and test AI.
Cases, demonstrations, and reviews shaped around what your AI needs to learn.
Example project
- You need
- Your support model misunderstands Korean refund requests.
- We build
- Korean-speaking experts write good answers and correct model mistakes.
- You receive
- A reviewed dataset of requests, answers, and explanations.
Contribute
Domain expertise
Review
Reviewed cases and demonstrations
Deliver
Training and evaluation data
AI that handles a workflow.
Build agents that use your tools, make decisions, and bring in people when needed.
Example project
- You need
- Your team checks every return request by hand.
- We build
- An agent checks the order and return policy, then drafts a response for approval.
- You receive
- A working agent connected to your support tools.
Map
Your team’s workflows
Connect
Tools, decisions, and human review
Run
Agents that carry out real work
In development
A practice ground for agents.
Turning real decisions and edge cases into environments for training and evaluating agents.
Example project
- You need
- You need to know whether an agent can handle returns safely.
- We build
- A simulated store with orders, a return policy, and tricky customer requests.
- You receive
- A resettable test environment that scores each attempt.
Set the task
Task and starting state
Run actions
Agent actions and tools
Evaluate & reset
Outcomes and scoring
Whatever comes next