Agentic Commercial Intelligence · Pharma
Every question
worth asking.
Answered directly.
Direct answers to every question commercial teams ask about Starfire — how it works, what it costs, how it fits alongside your existing investments, and what makes it different.
vs. Microsoft Copilot
vs. Build Internally
vs. IQVIA / Veeva
Data Security
Time to Value
ROI
SCROLL
Generic AI
is everywhere.
Pharma intelligence
is not.
You have Copilot. You have internal analytics teams. You have IQVIA contracts. The question isn't whether AI exists — it's whether it understands payer hierarchy, specialty distribution, and treatment sequencing out of the box. Starfire does.
Does Starfire do anything Copilot can't already do?
Built for everyone
means built for no one.
Microsoft Copilot
General purpose.
General results.
No concept of payer hierarchy, formulary tiers, or specialty hub data
Cannot ingest your proprietary claims, CRM, chargemaster, or SP feeds
Generic summaries — not board-ready PowerPoints or next-best-action workflows
No awareness of your TPA agreements, data license restrictions, or SOPs
Zero agentic modules for Market Access, Patient Journey, KOL Identification, or HEOR
Starfire
Purpose-built.
Pharma-first.
15+ years of pharma commercial logic baked in — payer hierarchy, specialty Rx, treatment sequencing, HEOR methodology
Ingests and harmonizes your full data stack — claims, CRM, chargemaster, hub/SP, lab, formulary — via copy or Databricks Delta Sharing
Generates executive-ready deliverables: PowerPoints, scenario analyses, next-best-action recommendations
Governance-first: respects TPA agreements, data license obligations, SOPs, and compliance at the architecture level
Medical Claims·Pharmacy / Rx·Specialty Hub & SP Data·Payer / Formulary·CMS / Medicare·NPI / NPPES·Chargemaster·Lab & Dx Data·CRM / Salesforce·Hub & Patient Services·Contract & GTN·Managed Care·
Medical Claims·Pharmacy / Rx·Specialty Hub & SP Data·Payer / Formulary·CMS / Medicare·NPI / NPPES·Chargemaster·Lab & Dx Data·CRM / Salesforce·Hub & Patient Services·Contract & GTN·Managed Care·
We have internal data science resources. Why not build this ourselves?
12–18 months.
Or 6 weeks.
You pick.
The "Build It" Reality
Mo 1–3
Hire agentic AI engineers who also understand pharma commercial data. Good luck.
Mo 3–6
Scope and architect. Debate data models. First delays hit.
Mo 6–12
Build, test, rebuild. LLMs evolve mid-build — back to the drawing board.
Mo 12–18
Deploy something — if budget survives. No pharma expertise baked in.
Ongoing
Constant maintenance. Your best engineers maintain, not innovate.
The Starfire Path
Week 0
No-cost workshop. Validate on your actual data before signing anything.
Week 1–2
TPA & BAA execution. You contract directly with your data providers.
Week 2–4
Data ingestion & harmonization. NPI mapping, payer hierarchy, code attribution — we handle it.
Week 4–6
First insights delivered. Board-ready. Validated. In your hands.
Ongoing
We iterate with you. New use cases in natural language — no analyst required.
18mo
Typical internal build timeline
6wk
Starfire: contract to first insights
Does Starfire replace the analytics tools we already use?
Your data investment
just became 10×
more valuable.
Starfire is not a data reseller. We work on top of every asset you already license — turning static dashboards and quarterly readouts into conversational intelligence that answers questions no one pre-built.
IQVIA / Symphony / Komodo
Rich claims data and RWD locked in static dashboards. Analyst teams and quarterly cycle times required to extract insight.
Starfire makes it conversational
Veeva Nitro / CRM
Deep commercial CRM and field data. Ad hoc questions require data science tickets and sprint cycles.
Starfire makes it queryable
Your Data Warehouse
Gold in Databricks or Snowflake — accessible only to engineers, gated by ticket queues and sprint planning.
Starfire unlocks it in minutes
Data Security
Your data.
Your data.
Your silo.
Full stop.
Confidentiality is architecture, not policy. Every client environment is fully isolated. No data crosswalk. No model training on your IP. Your work product is yours — perpetually.
Complete tenant isolation
Dedicated compute and storage per client. No shared data stores — ever.
Zero model training on your data
Foundation models via secure API only. Nothing persists on third-party infrastructure.
You keep the intel — perpetually
Full rights to every deliverable, even after the engagement ends.
BAA & TPA frameworks
Supports BAA for PHI. You contract directly with data providers. Starfire accesses via standard TPA.
🔒
Your
Environment
Environment
SOC 2 · HIPAA-Compliant
Time to Value
First insights.
Week six.
A repeatable, auditable playbook — not a one-off engagement. From data access to board-ready deliverable in weeks, not quarters.
Week 0
No-Cost Workshop
See it on your real data first.
Week 1
TPA / BAA
Data access via standard frameworks.
Week 1–3
Data Ingestion
Copy or provisioned views. Delta Sharing supported.
Week 2–4
Harmonize
NPI mapping, payer hierarchy, business rules, SOPs.
Week 3–5
Use Case Config
Priority workflows aligned to your objectives.
Week 5–6
Validation
Review, validate, iterate in natural language.
Week 6
First Insights ✓
Board-ready. Polished. Yours.
Outcomes & ROI
Software economics.
Software economics.
Not FTE economics.
$0k+
Savings Per Brand / Year
vs. legacy consulting at $250K per engagement
5–10×
Faster Insight Delivery
vs. traditional consulting timelines. Minutes not months.
10×
Internal Team Productivity
Teams shift from data wrangling to strategy
100%
Board-Ready Deliverables
Every output formatted for executives. Zero cleanup required.
More common questions.
Straight answers.
Longevity
"Do I have to worry about you still being in business through my contract?"
Backed by Redesign Health — 60+ healthcare companies launched. Capital-efficient SaaS model. Clients retain perpetual rights to all work product regardless of engagement status.
Compliance
"How does Starfire handle MLR review and Sunshine Act compliance?"
Starfire does not circumvent MLR — it automates prep of materials that still route through your standard review. SOPs integrated as reference layers. HCP engagement goes through your compliant channels.
Guarantee
"Does Starfire guarantee the analysis will be useful?"
The no-cost workshop lets you validate on your actual data before signing. SQL and data previews visible behind every insight. Iterative validation during onboarding — you don't commit until it performs.
Cost vs. Build
"What does it cost vs. building internally?"
Internal: 12–18 months + loaded FTE + tooling + maintenance. Every hour spent building infrastructure diverts from commercial priorities. Starfire: 6 weeks to first insights, $750k+ annual savings per brand vs. consulting.
Integration
"How does Starfire integrate with our existing data infrastructure?"
Ingests a copy or accesses via provisioned views. Databricks Delta Sharing supported. Works with claims, chargemaster, CRM, SP data feeds. Additive intelligence layer — no migration, no rip-and-replace.
Scope
"What can Starfire not be used for?"
Starfire is purpose-built for commercial pharma. Not for clinical trial operations, regulatory submissions, drug discovery, or pharmacovigilance. Tight scope means deep expertise — not broad mediocrity.
Get Started
Run a real scenario.
See what's possible.
Bring us an actual commercial question. We'll assess your data, scope the analysis, and deliver a working prototype — before you sign anything.
Step 01
30-min discovery call
We learn your therapy, data environment, and the specific commercial question your team needs answered.
Step 02
Data feasibility check
We confirm source coverage, sample windows, and methodology fit — no commitment required.
Step 03
Prototype analysis
A real analysis on your scenario — polished, board-ready, in your hands before you sign.
