Atlas CI
An agentic AI platform purpose-built for pharma competitive intelligence teams, grounded in 20+ years of proprietary Norstella data
to build a single congress competitive landscape report
of team time spent building monthly decks for leadership
vendors and tools to manage, under pressure to consolidate
of CI work is manual – aggregating, verifying, and reformatting data
of pharma CI teams use ChatGPT or Copilot.
It doesn’t work.
General-purpose AI tools have no defined data scope, no SME curation, and no transparency on coverage. They sound authoritative, but when leadership asks where the number came from, there's no defensible answer. For a high-stake decision, that won’t cut it.
Citation of discontinued brands as active. No mechanism to know what's current or what's been missed entirely.
Missed recent approvals and launches. A competitive landscape with a gap is worse than no landscape at all.
Inconsistent outputs. Run the same query five times and get five different answers, none of them citable.
No data scope or coverage transparency. You can't know what the model included, what it missed, or why.
Ask a question in plain language. Atlas CI reasons over Norstella's curated data plus your own and returns a sourced, editable PowerPoint in minutes. Your data stays firewalled and is never used to train the model.
Use it for competitive landscapes, drug profiles, catalyst timelines and leadership briefings. It runs on 30+ years of expert-curated Norstella data, including:
254M+ trials,
261M+ drugs
1.5M+ events
6.6M+ organizations
(as of October 2026)
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This is just the start. New persona-specific AI agents for BD&L, feasibility, portfolio strategy, and protocol design are on the way, combining market intelligence with your organization's context.
Find out more at Norstella.ai
