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SAIL
Healthcare practice

Engagement · Clinical research

Many tools.
One platform.

A multi-year, AI-native platform engagement with SDC, one of the country's leading clinical research operators. Spec to platform in months. Continuous delivery, by design.

The shape is public. The architecture stays under NDA.

12 → 1 Disconnected tools collapsed onto one platform
36% Shorter trial timelines
12 wk To first deployment · a multi-year platform since
Sector Healthcare
Partner SDC
Engagement Audit, fixed-fee build, retainer
Status In production

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 is collapsing the stack.

Today

Disconnected pipelines. Manual reconciliation between systems built at different times by different teams. Roadmaps measured in years.

The usual fix

Another vendor portal. Another dashboard. AI bolted 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: the rules underneath everything we ship.

One source of truth.

Capture to conclusion, on one platform. Ingest, govern, review, analyze, and report from a single source of record.

Humans on the loop.

AI proposes. The verifier grounds it. A person signs every decision on patient data.

Continuous delivery.

Cycles measured in weeks. Each milestone ships to production. The roadmap shifts in days.

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.

SDC began with an audit and a fixed-fee build, and now runs as a 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, with a demoable outcome every sprint.

One strike team

Software, AI/ML, data engineering, DevSecOps, and product strategy on one bench. 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.
In months.

“We used to spend months manually reconciling data. Now it happens instantly. In three months, this team built a clinical intelligence platform that cut our trial timelines by 36%. The clarity of AI insights is game-changing.”
Bharath Donthi · SVP, SDC