We find the AI worth building — then we build it.
A two-week, fixed-scope audit of how your business actually runs — ending in working software built on your data, and an honest verdict on what to build next. And what not to.
You're already paying for AI — is any of it in production?
Small and mid-size businesses have bought AI in bulk. Almost none of it is running in production — and the three most-cited blockers (unclear return on investment, data quality, runaway cost) are exactly what a two-week audit measures.
Market figures from MIT Project NANDA (2025) and S&P Global Market Intelligence, as cited in industry reporting.
The AI Automation Audit
Six interviews, five systems, two weeks, done
We embed with your team for ten business days: up to six stakeholder interviews, read-only walkthroughs of up to five systems, a data-quality snapshot, and a working proof of concept for your top automation opportunity — built on your sample data, demoed live.
You get an evidence-tagged findings report, a priced opportunity map, a return-on-investment model per opportunity, and a prioritized roadmap. You keep all of it whether or not we ever build.
The terms, up front
Charter pricing $7,500 for the first five clients, or through March 31, 2027 — whichever comes first.
How it works
Audit → Build → Iterate
Audit
Ten business days, fixed scope, $10,000. Six interviews, five systems, a data-quality snapshot, and a working proof of concept on your data — ending in a signed findings report you keep either way.
Build
The top opportunity from your audit, built for production at a fixed price with a named delivery date — typically $10,000–$150,000. Sign within 60 days and the audit fee credits in full.
Iterate
A $1,000–$4,000/month retainer keeps the system monitored and improving after go-live. Introduced only after a build is agreed — never before.
What we build after the audit
Four build lines, every one quoted from your measured numbers — fixed price, named delivery date.
Process Automation Builds
Invoices, intake, scheduling, reporting — the manual back-office work your team re-keys every day, automated end to end.
Custom AI Agents & Copilots
Agents that draft, match, triage, and prepare — your people review and release. Human-in-the-loop is the product, not a limitation.
Website & Analytics Rebuilds
A web presence that actually measures demand and converts it — built on the same data discipline as our audits.
Data Plumbing & Reporting
One system of record, clean lists, reports that agree with each other. The foundation every other build stands on.
Why BioInfo AI
Builders who happen to sell, not sellers who happen to build.
Fixed Scope. Fixed Price.
$10,000 and ten business days — stated up front, in writing. No hourly billing, no scope creep, no surprise invoices. Fixed scope is the credibility.
The Report Is Yours Either Way
Findings, opportunity map, return-on-investment model, and a working proof of concept on your data — you keep all of it whether or not we ever build. If you proceed within 60 days, the audit fee credits in full.
Builders Who Happen to Sell
No junior-consultant pyramid. The two founders who scope your audit are the people who build from it — weeks and $10,000, not months and $300,000.
Measured, Not Asserted
Every return-on-investment figure is computed from your data and recomputable from our methodology appendix. Every report is reviewed and signed by a PhD scientist. We compute returns — we don't promise them.
Proof, not promises
Work you can inspect before you sign anything
A complete sample findings report in the exact format you'll receive — and a heritage of measured work: our team's deltaCMS cancer-classifier benchmark outperformed the published state of the art across 1,440 samples and five cohorts, because we don't demo AI, we benchmark it.
Every report is reviewed and signed by a PhD scientist. The willingness to say "don't build this yet" is policy, not personality.
Sample findings report
The full deliverable, on a modeled archetype with synthetic data — the same standard you'll receive.
View the report →Our scientific heritage
Biomarker discovery and clinical AI — where wrong answers carry real consequences. That rigor now works for your business.
Read the case study →The people who do the work
No junior-consultant pyramid. The people who scope your audit are the people who build from it.
Jonathan Rapisarda
Co-Founder & Agentic Systems Architect
Anthropic Certified (Advanced) - Claude & Claude Code. 74+ AI agents designed and built.
Michael Edwards, PhD
Co-Founder & Chief Scientific Officer
PhD in Bioinformatics. 30+ years bioinformatics research and application.
Naomi Thomson
Chief Development Officer
20+ years commercial leadership in life sciences. VP Revenue & Product Innovation, Compass Bioinformatics.
Start with a 30-minute call
No pitch deck. We'll tell you on the call whether an audit makes sense for your business — and if the honest answer is no, that's the answer you get.