Drug Discovery Runs on Data.
But It Advances on Decisions
Pluto’s Translational Decision Platform.
Every advancement is a structured decision.
Explore Translational ConfidencePluto Decision Reviews Across the Discovery Lifecycle
Structured progression that builds from hypothesis through translation.
Therapeutic
Hypothesis
Is the disease biology signal strong enough to justify target exploration?
Explore expression and pathways, hone the hypothesis, and capture supporting evidence.
Request Therapeutic Hypothesis Review
Target
Prioritization
Which targets perform best within the disease context and criteria for investment?
Synthesize -omics data, literature, and other sources to rank targets based on specific criteria.
Request Target Prioritisation Review
Translational
Confidence
Which preclinical models best recapitulate the relevant patient biology?
Compare models to patient data in detail. Inspect model translatability before progression.
Explore Translational Confidence
Reverse
Translation
Does clinical data support advancing the program or refining the hypothesis?
Connect clinical signals back to biological assumptions. Compare biomarkers and cohorts.
Request Reverse Translation Review
Platform Layer
Where biological intent becomes measurable alignment.
Advancement depends on a biology-focused framework.
Programs progress by generating and evaluating evidence against industry-standard biology requirements, in real time, before advancement.
Hypothesis
Every program begins with clearly defined translational intent.
- What biological mechanism is being tested?
- What patient molecular context must it hold in?
- What disease context must hold?
The hypothesis is recorded before activity begins. Progression is anchored to biology, not directionless activity.
Activity
All data, analyses, and materials are automatically mapped to goals.
- What data were generated?
- Which biological vectors does this evidence support or weaken?
- How does this update overall program alignment?
Outputs are structured against the biological criteria being tested. Alignment updates continuously as evidence accumulates.
Review
Reviews are no longer static slide decks - they are live alignment states.
- Does the evidence meet predefined translational criteria?
- Does it hold across datasets and contexts?
- Is progression justified, paused, or stopped?
Each review is a formal decision event, backed by real-time reporting across biological vectors. Advancement follows demonstrated alignment.
Decision Record
Durable institutional memory across programs and time.
Every advancement generates a formal record of the hypothesis, evidence, translational criteria, and resulting decision, creating a compounding, intelligent progression history.
Decision Brief
Dynamic, presentation-ready narrative built from the Record.
It assembles the current hypothesis, supporting evidence, translational criteria, and decision status into a real-time presentation view of the program’s state.
As evidence evolves, the brief updates automatically.
Program teams, portfolio leads, and executive reviewers present from the same structured source, without rebuilding slides or reformatting data.
