Product-Led AI Engineering Studio
An end to end product-led engineering studio for zero-to-one AI products including architecture, design, data analytics, seo, accessibility, evals, legal, compliance, and everything needed to reach product market fit.
“We are a product-led engineering lab, not a consulting agency.”
Most consulting contracts end on a date. Ours end on a milestone: Product Market Fit.
What idea to product market fit looks like.
Architecture from the Discovery Sprint. Set Precision eval targets across functional, qualitative, and safety dimensions. CI runs evals on every commit.
Weekly Friday demos. Failing evals block deploys. Compliance finalised: HIPAA, DPDP consent, audit logging. Alpha to 10 trusted users.
Latency, cost, observability, error budgets. Postmortem culture begins — every incident becomes a regression test in the eval suite.
Real users at scale. Rapid iteration. We rebuild components if the data demands it. Engagement converts to an Embedded Pod or hands over cleanly.
Who's on the team?
Senior, embedded
Owns the engagement. In your Slack. On your weekly.
AI + full-stack
Write the production code, run the evals, own the deployments.
UX for AI
Trust, explainability, consent flows, dashboards.
As needed
HIPAA / DPDP architecture, BAA flow, audit posture.
Progress-based milestones. Every Friday.
Not a status update. Progress-based milestones. A working demo, a 3-line summary of what changed and didn't, and most importantly why.
Acquisition rate
97%
User engagement
96%
Retention rate
72%
Average revenue per user
$100/month
Ship summary · Week 6
We implemented HIPAA-compliant audit logging for all inference calls. We refactored context retrieval to reduce noise on long-form prompts. We implemented a new feature that will allow users to export their data in a CSV format.
Next week's goal
Next week's goal will be to improve retention rate which has dropped by 4% since last week.
Two weeks. We meet your team, your data, your constraints. You get an architecture and an honest call on whether to proceed. Most do.
Apply for a sprint →