AI Adoption
Governed AI is the compliance layer for every workflow we build.
- Assess — map where team hours actually go
- Build and govern — review and audit built in
- Adopt — SOPs updated, hours saved measured
Clinical research operations
Put AI to work in your clinical operations. Keep every output on the record.
For site networks, CROs and sponsors without an in-house AI team.
Assess → prioritize → build + govern → adopt
What we build
Built for clients, then found to be what every regulated research organization needs
Recruitment Intelligence
Clinical trial recruitment rarely fails because there is no data. The problem is knowing what the data is telling you early enough to act.
- Forecast — model expected enrollment before it starts
- Monitor — see live funnel status, always current
- Intervene — know where to act, and how
Neither is a self-serve subscription. Both are delivered engagements — deployed inside your boundaries and supported as your teams adopt them.
MA TECHNOLOGIESCLINICAL RESEARCH SYSTEMS
One operating layer
Connected systems, controlled data flow, a person accountable at every step.
Both capabilities run against the sources you already maintain, inside your boundary, with review and traceability built into the path — not added afterwards.
Sources
Protocols, CRM, site records
Controls
Versioning, roles, audit
Outputs
Reviewed, traceable, usable
Not sure which one you need?
Most conversations start with one protocol and one unanswered question. That is enough to begin.