Engagement · 02
Cadence.
Phenotyping at scale.
Hardened mobile SDKs, high-speed ingestion, AutoML baseline. Thirteen weeks to live.
Phone to feature · in thirteen weeks Read engagement
Engagement · Clinical research
Many tools.
A multi-year, AI-native platform engagement with one of the country's leading clinical research operators. Months, not quarters. Continuous delivery, by design.
The shape is public. The architecture is not.
Sector Clinical Research
Partner SDC
Engagement Continuous delivery
Status In flight
The shape
The trial moves at the speed of its slowest tool.
Clinical research operations grew up across vendor portals, spreadsheets, and pipelines built at different times by different teams. Every new study compounds the seams. The fix isn't another portal. It's collapsing the stack.
Today
Disconnected pipelines. Manual reconciliation between systems built at different times by different teams. Roadmaps measured in years.
What won't work
Another vendor portal. Another dashboard. Bolting AI onto plumbing that was never designed to carry it.
What works
One platform across the trial. One control plane. Humans on the loop. Provenance traveling end to end.
The discipline
Capture to conclusion. On one platform.
Four commitments that hold every sprint. Not features. Not modules. The rules underneath everything we ship.
One source of truth.
Capture to conclusion, on one platform. Ingest, govern, review, analyze, report — no warehouse hop, no second source, no vendor portal sprawl.
Humans on the loop.
AI proposes. The verifier grounds it. A person signs. No autonomous decisions on patient data. Not now. Not ever.
Continuous delivery.
Cycles measured in weeks. Each milestone a production deploy, not a demo. The roadmap shifts in days, not change orders.
Provenance by design.
Every record, every model decision, every reviewer disposition is captured with its source. Replayable end to end.
Engagement model
An extension of your tech team.
Continuous-delivery retainer against a prioritized backlog. Software, AI/ML, data engineering, DevSecOps, and product on one bench.
Continuous delivery
Three-week cycles against a prioritized backlog. Demoable outcome every sprint. The roadmap shifts in days, not change orders.
One strike team
Software, AI/ML, data engineering, DevSecOps, product strategy — all on one bench. No vendor handoffs. Velocity is the deliverable.
Quarterly scaling
Start at the build cadence the platform demands. The tier flexes with the backlog. Steady through the runway.
The thesis
Spec to platform.
Months, not quarters.
Full case study to follow, with the partner's blessing.
Adjacent in the field