Does the AI do what the deck says
We evaluate the actual system on representative tasks, including its failure modes, costs and dependence on third-party models.
For investors and acquirers
Diligence for AI products and agent-built codebases.
Know what you are buying before you sign: whether the AI does what the deck says, whether the codebase can be maintained, and what it will take to integrate or fix.
What we solve
What the diligence has to answer.
Agent-built codebases
Code written with coding agents can look finished and still be hard to change. We inspect maintainability, permissions and test depth.
After the close
An integration and remediation plan, plus a forward-deployed team or fractional CTO to execute it across the portfolio.
Proof
Work we have already done.
We led the technical diligence for the acquisition of a healthcare platform we built, and carried the platform forward afterward.
Healthcare / selected work
Technical leadership through acquisition
- The problem
- A regulated EHR and revenue-cycle platform connecting clinical workflows, revenue operations and patient access.
- What we built
- The core EHR/RCM system, with HL7 orders and labs, telehealth and a patient portal, then a Microsoft Fabric data layer after the acquisition.
- What it made possible
- A platform the acquiring a16z-backed company chose as its technology foundation, with 100+ reports in use by hospitals and healthcare organizations.
- CTO
- platform leadership through acquisition
CTO leadership, TeqEngine software development and technical diligence through acquisition.
Read case studyContinuity through a technical transition
- Understand the estateArchitecture, dependencies and technical risks
- Make the decisionDiligence findings · leadership communication
- Carry the platform forwardSystem and data delivery after acquisition
- Maintain ownershipOperational context · decisions · handoff
How we engage
A forward-deployed team, on terms you can plan around.
Diligence in two to four weeks. After the close, a fractional CTO or a forward-deployed team can carry out the plan.
Technical & AI diligence
Two to four weeks
Evidence for an investment, acquisition or major platform commitment, including the real state of an agent-built codebase.
You get: Evidence-backed findings, material risks, integration and remediation plan, and a readout for the deal team.
Discuss a diligenceFractional CTO
Initial three-month term
A senior technical counterpart for architecture, agent adoption and the decisions your board and investors ask about.
You get: Architecture decisions, agent-adoption plan, delivery reviews, and leadership and board readouts.
Explore this optionForward-deployed build
Initial three-month engagement
A forward-deployed team embeds with yours and builds the agent platform, AI product or the systems behind it. Scope, milestones and acceptance criteria are agreed before work starts.
You get: Working software, the harness your engineers keep using with coding agents, evaluation and release gates, runbooks, and a handoff your team runs with.
Explore this optionGo deeper
Read how we approach it.
Start a conversation
What are you building—or deciding?
Tell us where you are. We reply within one business day, and the first conversation ends with a recommended next step.