Healthtech · Life Sciences Software · 200–1000 · North America #b033_04

Context

We provide software that lets drug sponsors and research organizations collect patient outcomes and consent remotely during studies, now adding AI assistants for trial operations.

Industry

Healthtech · Life Sciences Software

Size

200–1000 employees

Region

North America

Tools budget

$5K–20K per month

Needs

Guardrails for AI agents and LLM apps. Our trial assistants act on regulated records, so every action needs human approval paths and tamper-proof logs.

Today: human-in-the-loop review and audit trails are built into every clinical agent · Urgency: now

Privacy & data protection (GDPR/HIPAA). Patient data flows across many countries, and keeping consent and transfer rules aligned per study is getting harder.

Today: a compliance function maintains privacy controls across regulated trial data · Urgency: this year

LLM evaluation & testing. We lack a repeatable way to score assistant answers against clinical expectations before each release.

Today: agent value judged through outside academic studies and sponsor pilots, not a continuous harness · Urgency: now

Who decides

cto · security review

Expects from suppliers

Familiar with good clinical practice expectations; Evaluation reports regulators can read; Supports per-study configuration

Not a fit

Consumer-grade AI tools without audit trails; Vendors unwilling to sign data processing terms

Stack

LLM APIs in production, cloud: AWS-class hyperscaler, compliance tooling in place

Buying triggers

AI adoption push, regulatory change