Financial analysis
Review documents, reconcile evidence, and build analysis around your team’s criteria for accuracy and completeness.
Documents → Evidence → Analysis
Custom agents, built with expertise
Specialized agents.
Built around your work.
Turn your team’s knowledge, tools, and workflows into capable agents,
grounded in expert data and evaluated against your standards.
01 / The difference is context
The details of your work
make all the difference.
The hardest tasks depend on more than an answer. They require knowing which evidence matters, how to use the right tools, and when to ask for expert judgment. We build that context into the agent development process.
01 — Knowledge
Your domain and data
02 — Environment
Your tools and workflows
03 — Evaluation
Your standards of quality
02 / How we build
From expert knowledge
to capable agents.
A development loop that connects the work, the data, and the evidence of what needs to improve.
- 01
Define the work
Choose a workflow, identify the decisions that matter, and agree on what successful task completion looks like.
OutputWorkflow & success criteria - 02
Build the expert data
Capture demonstrations, reasoning, tool use, and the exceptions that experienced people know how to handle.
OutputExpert demonstrations & examples - 03
Evaluate in context
Measure task completion with domain-specific rubrics, programmatic checks, and expert review.
OutputEvaluation results & feedback - 04
Refine with evidence
Use failure analysis to improve the data, repeat evaluation, and adapt as the workflow changes.
OutputTargeted data improvements
A continuous improvement loop
Each evaluation informs the next round of data, so the agent improves with the work.
03 / Specialized workflows
Where expertise
shapes the outcome.
Start with the work your team knows best. These are examples of the workflows we can explore together.
Software workflows
Plan, implement, test, and review changes within the tools and environments that developers use every day.
Requirements → Code → Verification
Research & operations
Gather sources, apply domain rules, and complete multi-step work with decisions that can be traced back to evidence.
Sources → Synthesis → Action
04 / Built to be evaluated
Every improvement
starts with evidence.
Our work in expert data and model evaluation informs how we develop agents. Make success explicit, inspect the failures, and build the data needed to close the gap.
Explore our researchTask-specific criteriaDefine
Programmatic outcome checksMeasure
Expert review and feedbackUnderstand
Targeted data improvementsRefine
Start with a conversation
What should an agent
do for your team?
Bring us a workflow. Let’s explore what an expert-built agent could do.