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The decision problem

Manual research forces teams to make narrow decisions early.

Each new asset, indication, competitor, or scenario can trigger another months-long project. Teams examine fewer options, then receive analysis that starts aging as soon as it arrives.

01

Early strategic decisions

Compare more assets and indications before you narrow the field.

For Search & Evaluate, portfolio strategy, corporate strategy, and investment teams.

02

Established CI programs

Keep competitive landscapes current as programs, catalysts, and evidence change.

For competitive-intelligence and commercial-strategy teams that need current, reusable analysis.

What clients can buy today

Finished analysis, ready to use.

Bring us the strategic question. We deliver the analysis in the formats your team uses—and, when scoped, keep it current for you.

Interactive dashboard Detailed report Executive deck Structured output

Competitive and portfolio intelligence

See where competitor programs are moving, which catalysts matter, where evidence gaps remain, and what that means for your portfolio.

Landscapes · asset profiles · trial matrices · strategic implications

Strategic deliverable Competitive landscape Strategic implications · evidence register
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Target product profiles

Build an evidence-backed target product profile against clinical, competitive, regulatory, and market benchmarks.

Structured TPPs · benchmarks · positioning · strategic options

Strategic deliverable Structured TPP Evidence appendix · strategic options
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Conference and evidence intelligence

See what changed at a conference, why it matters, and what deserves attention next.

Readiness materials · executive summaries · evidence updates · implications

Strategic deliverable Readiness deck Evidence register · executive summary
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How the research is produced

AI gathers, connects, and updates the evidence. Life-science experts review the conclusions.

You set the question, scope, and level of involvement. Our AI agents handle the repeated evidence work; our experts inspect the sources, challenge the analysis, and review what your team receives.

Explore the AI agents
Evidence from trials, literature, regulatory sources, markets, and databases flows through AI agents and connected evidence linking drugs, targets, companies, and indications to scientist review and a strategic conclusion.

Selected engagements

From one engagement to an ongoing intelligence program.

Three examples of a focused first engagement becoming a broader, repeatable program.

Top-20 pharma · Global RWE

Scale 30+ conferences supported each year

A conference-intelligence project became repeatable

Automated extraction, classification, and thematic analysis now support repeatable readiness work across therapeutic areas.

Strategic deliverable Readiness packs and evidence updates

Top-20 pharma · Strategic analytics

Documented delivery Months → days Then expanded from an initial TPP pilot

A TPP pilot became a multi-phase workflow

Complete structured TPPs replaced a slow, inconsistent manual process and expanded beyond the initial engagement.

Strategic deliverable Structured TPPs and strategic options

Mid-size pharma · Oncology

Expansion Portfolio-wide Expanded from one oncology indication

One oncology landscape expanded across the portfolio

The work expanded into TPPs, conference intelligence, target identification, and portfolio-level trend analysis.

Strategic deliverable Landscapes and portfolio analysis

“Days, not months” reflects a documented target product profile engagement. Delivery timing depends on scope, evidence availability, and review requirements.