BrightInsight closed $13M to expand AI end-to-end and scale patient support globally. Three Cloudflare products map directly to what you announced: Workers for global Patient App delivery, AI Gateway for churn prediction observability, and R2 for zero-egress behavioral signal storage.
AI end-to-end, global patient app scale, and behavioral signal data — each has a direct Cloudflare fit.
Observability for medication churn prediction
You announced AI "end-to-end" — generating user-specific insights and predicting medication churn. Once you're routing patient behavioral signals through multiple models, you need observability and cost control on those calls. AI Gateway sits in front of every inference call — logging requests, caching repeated outputs, and rate-limiting per tenant — without touching model weights or requiring re-architecture.
Scale the Patient App globally without new regional infra
You're scaling the Sanofi + Regeneron Patient App to more disease areas and geographies. Intervention delivery logic — push routing, reminder scheduling, behavioral signal aggregation — needs to run fast everywhere patients are, not just where your origin servers are. Workers runs at 310+ PoPs globally with no cold starts and a HIPAA BAA available. No new regional deployments as you expand to EU and APAC pharma customers.
Zero-egress storage for behavioral signal data
The patient behavioral event streams that train and feed your churn prediction models have to live somewhere. If that's S3, you're paying egress every time that data moves to your ML pipeline. R2 is S3-compatible — drop-in, no re-engineering — with zero egress fees. As patient signal volumes grow with each new pharma deployment, that line item compounds fast.
Each product slots into a different layer — none require re-architecture of what you've already built.
The announcement mentioned expanding disease areas, caregivers, and nurse educators. Each adds more patients, more signals, more model calls.
AI Gateway caches repeated inference patterns. As your churn prediction models process similar patient profiles across disease areas, cache hit rates compound — cutting OpenAI or Bedrock spend without changing models.
Each new pharma deployment multiplies your patient event volume. S3 egress fees scale with that volume every time signals feed your ML pipeline. R2 eliminates that line item — zero egress, S3-compatible, no re-engineering.
Scaling to EU and APAC pharma customers means patients in new geographies. Workers delivers intervention logic from 310+ PoPs automatically — no new regional infrastructure, no new compliance regions to stand up.
One Cloudflare Business Associate Agreement covers all three products. No per-product compliance negotiation as you add capabilities. One vendor relationship, one audit artifact.
You're scaling AI end-to-end and expanding the Patient App to more disease areas and geographies. Workers, AI Gateway, and R2 each address a specific layer of that roadmap — with a single HIPAA BAA covering all three. Worth 20 minutes to walk through what it looks like in practice.