Partnerships

Ship your first agent. Or build trust in the one you have.

From a focused six-week build to an embedded engineering partnership, we work directly with your team—and build for ownership from day one.

Ways to work together

The ways we usually engage with clients.

01Six-week engagement

Zero-to-One Agent Sprint

One valuable workflow, scoped, built, evaluated, deployed, and handed off in six focused weeks.

  • Production agent
  • Eval suite
  • Tracing + feedback
  • Runbooks + handoff
02For deployed agents

Agent Trust & Evals

Stand up online evals for production monitoring, design a human-review system for ambiguous cases, and build offline tests that create confidence before every release.

  • Online evals
  • Offline test suites
  • Human review
  • Release gates
03Longer-term partnership

Embedded AI Engineering

We embed with your team for the longer term to build ambitious agentic systems—owning the development lifecycle, acting as product lead when needed, reviewing traces, and collaborating on the roadmap.

  • Product leadership
  • Agent development
  • Trace review
  • Roadmap ownership
04AI × data science research

Research & Efficacy Studies

Partner with us on rigorous AI research—from study design and efficacy analysis through publication-ready methods and manuscripts. Our experience includes work published in NEJM AI and evaluating live digital-twin workflows.

  • Study design
  • Efficacy analysis
  • Statistical methods
  • Publication support

Not sure which engagement fits? Tell us what you are trying to build or prove.

Work with us →
Here’s what the zero-to-one engagement looks like

Six week agent + evals sprint.

  1. 01
    Week 01

    Define the problem, set goals

    Choose the workflow, map the risk, agree on what good means, and establish a baseline.

  2. 02
    Weeks 02–03

    Build the MVP, develop evals & datasets

    Connect the data and tools, implement the agent, capture traces, and test the riskiest assumptions first.

  3. 03
    Weeks 04–05

    Hill climb on quality

    Build the eval set, encode critical checks, add human review, and harden the failure paths.

  4. 04
    Week 06

    Ship and hand off

    Deploy, document, train the team, and leave a prioritized roadmap based on observed performance.

Exit state / week 06

You leave with an agent, a way to measure it, and a team that knows how to improve it.

Check if your project fits ↗