Case studies
What changed when the work was actually rebuilt.
Engagements across clinical site networks, CROs, sponsors and digital platforms — the process before, what we built, and the numbers after.
Multi-site network — United States
Recruitment and operations automation across a large US site network
Pre-screen failures were dead ends and coordinators were re-keying the same candidate data across systems. We rebuilt the pre-screen step as an automated matching engine and wired the surrounding operations into one traceable workflow.
1 in 3
Pre-screen failures matched to another active trial in the network.
Network-wide
Every active study checked automatically, not just the referring one.
Vitalief — United States
Governed AI for clinical operations
Vitalief had expert AI workflows that only one person could run. We rebuilt them so the whole firm can — under signature, sanitized for PII and PHI, against an audit record that cannot be altered.
75%
Efficiency gain
100%
Immutable audit records
2
Signatures before release
~1 month
Build to production
Online auction platform — Innova Technologies
Finding the ceiling on a live auction engine before the bidders did
The auction engine looked healthy on every API dashboard, and was disconnecting bidders anyway. We modelled real traffic, ran it to failure, fixed the database and real-time layers, and re-tested to 2,000 concurrent users.
20x
Live bidding capacity, verified before and after.
2,000
Concurrent users across the full traffic mix.
Centricity Research — North America
Cutting patient recruitment cost per lead by 84%, then scaling on it
Centricity's paid recruitment worked, but the economics were unpredictable — cost per lead swung from $79 to $900. We rebuilt the funnel around a weekly measurement loop, settled cost per lead into a $15–$69 band, and scaled spend nearly 3x on top of it.
84%
Lower cost per lead — from a $79–$900 swing to a $15–$69 band.
~3x
Monthly ad spend scaled, $50K to $147K, without volatility returning.
