DeepSensi™

For Pharma

Ninety percent of trials fail.
Fix the denominator.

Not the drug. Every failed trial died the same death: the right patient, found too late. DeepSensi™ matches at the exact moment of diagnosis, simulates the cohort before a site opens, and prices the therapy in number-needed-to-treat before the first dose. One day of trial delay costs more than the pilot.

90%
of trials fail today
At diagnosis
not after enrolment
NNT
computed before the first dose
4
continents

What changes

What changes for your pipeline

01

Match at the moment of diagnosis

Reach the right patient when the diagnosis is made, not months after enrolment closes.

02

Population-scale simulation

Synthetic population twins project efficacy, complications, and number-needed-to-treat before a single site opens.

03

Verified-evidence discovery

Hypotheses anchored in deterministic biological-network validation, not language-model guesses.

04

Six continents

A distributed architecture with global reach.

05

A literature engine that never sleeps

Live ingestion from 46 scientific databases keeps your compound’s evidence base current inside every deliberation.

06

Federated cohorts, data that never moves

Hospitals exchange validated diagnostic patterns, not records: privacy-preserving signals across borders and jurisdictions.

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