A sales network that compounds on its own output.
Three systems, one loop. Territory intelligence, rep optimization, and adoption analytics feed each other in a closed cycle — every rep conversation in the field is training data for the next one. The floor rises every quarter.
Every rep interaction is training data.
Traditional rep networks treat each call as an isolated event. Solara treats every call, visit, sample, and outcome as a single unit of training data for a model that runs across the whole network. When a diabetes educator in Tampa books a conversion, the model updates targeting and scripts for the rep walking into a similar practice in Phoenix next Tuesday.
The loop has four steps and runs continuously. It's the reason the system compounds.
loop
Territory Intelligence— I.
Solara builds a live provider universe for every category in the network, then filters it against each manufacturer's clinical indications and commercial priorities. Territories are drafted against real opportunity density, not legacy map-shape politics — and they rebalance as the data moves.
- DataUnified provider graph.
CMS NPPES, Part D + Part B claims, specialty taxonomy, affiliation + practice data — resolved to a single scorable provider entity across 9.3M records indexed through the Thunder Holdings data platform.
- MatchingIndication-to-prescriber fit.
Manufacturers describe their target indication; the model ranks providers by likely fit based on prescribing pattern, diagnosis mix, and payer alignment.
- GeographyOpportunity-balanced territories.
Drawn from opportunity density and drive-time reality, not state lines. Rebalance triggers fire when coverage drifts beyond tolerance.
- RefreshWeekly data refresh.
Provider state updates weekly. Big moves (affiliation changes, new DEA status) trigger reviews out-of-cycle.
Rep Optimization— II.
This is where the loop lives. Rep outcomes feed a model; the model pushes tighter targeting, refreshed scripts, and next-best-action prompts back to every rep in the network. The best reps' intuition stops being trapped in their heads — it propagates.
- RankingRanked call lists, per rep.
Every morning the platform surfaces the 20 highest-probability conversations in the rep's territory, ordered by adoption likelihood × product-fit score.
- ScriptsCategory-specific playbooks.
Clinical talking points, objection responses, and evidence packets per indication. Updates flow when the network's response rate shifts.
- PromptsNext-best-action between visits.
When a conversation stalls, the platform suggests the follow-up sequence that has unstuck similar stalls elsewhere in the network.
- TrainingOutcomes become training data.
Every adopt / stall / no-go annotation feeds the model. The network's floor rises every quarter — and rep rankings surface the operators driving it.
Adoption Analytics— III.
Manufacturer executives see physician-level adoption state, stall and churn risk scoring, and rep contribution attribution in real time — not stitched together from monthly exports. The same telemetry exports to your data warehouse on a schedule you control.
- StatePhysician adoption state, live.
Provider-level view: evaluating, adopting, stalled, churned, won-back. Filter by territory, rep, or specialty.
- RiskStall + churn scoring.
Model-flagged accounts where the next interaction matters disproportionately. Triaged to the right rep with a recommended play.
- AttributionRep contribution attribution.
Clean contribution accounting per rep per account. Incentive alignment stops being a forensic exercise.
- ExportWarehouse export.
Scheduled pushes to Snowflake, BigQuery, or Redshift. Event-level detail, not dashboard screenshots. Your data stays yours.
The stack, documented.
Solara is transparent about how the platform is built. Your IT and security teams won't be decoding a black box — the foundation is boring enterprise infrastructure, by design.
- ·Vite + React 19 marketing + rep portal
- ·Fastify API on Railway
- ·Type-safe end-to-end
- ·Managed Postgres · encrypted
- ·9.3M provider graph
- ·Weekly refresh, nightly DR
- ·Gradient-boosted ranking
- ·Feedback-loop fine-tuning
- ·Versioned, rollback-safe
- ·SAML / OIDC for manufacturers
- ·Least-privilege by default
- ·Audit log, queryable
- ·REST + webhook surfaces
- ·Warehouse export connectors
- ·OpenAPI 3.1 documented
- ·Enterprise cloud under BAA
- ·Region-pinned compute
- ·Backup retention 35 days
API docs — published at api.solarahealth.com/docs for authenticated manufacturer IT teams.
HIPAA, SOC 2, and the boring parts done right.
Solara is built for the regulatory expectations of specialty healthcare manufacturers. The controls are boring because healthcare security should be boring.
Business Associate Agreement executed per engagement. PHI handling codified in platform primitives.
Control framework mapped to SOC 2 Type II. Third-party audit on a documented cadence.
At rest and in transit. Hardware-backed KMS. Documented key rotation.
SAML / OIDC enforced. Just-in-time production access, audit-logged end to end.
Data minimization by design. PHI isolated from analytics surfaces where not required.
Region-pinned compute and storage. No cross-border data movement without documented exception.
Documented incident response with a 60-minute first-notification SLA for security events affecting partner data.
Point-in-time recovery for Postgres. DR runbook rehearsed quarterly.
Load your target specialty into Solara, live on the call.
Forty-five minutes with a Solara operator. Bring your clinical indications and top geographies — we'll show you the physician universe and day-thirty coverage you'd have.