AI FOR SCIENTIFIC WORK

Expert scientific work.
Delivered with AI.

Causaly combines AI agents with your scientific methods, evidence standards and review criteria to produce work that scientists can inspect, challenge and use.

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Supporting scientific teams across life sciences.

IpsenLupinUCBEisaiProQRTRON MainzIDEA PharmaNovo NordiskBioAgeKhandaAgomabXencorManas AILundbeckBaseCure Therapeutics
START WITH THE ASSIGNMENT

Scientific work, ready to run.

Start with established scientific workflows developed with customers, with support from Causaly’s in-house scientists, or work with us to tailor the evidence, assessment criteria, and outputs to your organization’s needs.

Start with an established workflow

Scientific methods and expertise are already built into Causaly.

Adapt it to your organization

Configure the criteria, or codify a specialized workflow with our scientists.

Discovery & translational research

Start with a codified target assessment.

Causaly brings together evidence on human genetics, mechanism, safety and the competitive landscape in a structured assessment. Use the established method or tailor the evidence hierarchy and prioritization criteria to your team’s needs.

The work productTarget evidence dossier
TARGET ASSESSMENT

Target evidence dossier

Human geneticsAssociation supported Supporting evidence
TargetEvidence connected.
Questions retained.
MechanismConsistent pathway evidence Supporting evidence
SafetyTissue-specific concern Contradictory evidence
TranslationHuman perturbation missing Evidence gap
Asset strategy & lifecycle

An established method for your next indication.

Compare biological fit, clinical opportunity and evidence gaps using a scientific framework, with support from Causaly’s scientists to tailor the weighting and prioritization criteria to your asset strategy.

The work productIndication opportunity assessment
Prioritized shortlist

Indication opportunity assessment

01
Indication A

Convergent human evidence

Prioritize
02
Indication B

Mechanistic fit; translation gap

Investigate
03
Indication C

Limited disease-specific evidence

Hold
Illustrative qualitative ranking
Position for review

Investigate indication A first; resolve the translational gap before extending to B.

Clinical development

Build on a structured evidence assessment.

Compare studies and their limitations, tailoring the research question, evidence requirements and output to the population or biomarker decision your team needs to make.

The work productClinical evidence brief
Study comparison

Clinical evidence brief

Study AProspective cohort

Association observed

Study BRetrospective cohort

Direction replicated

Study CInterventional study

Interaction not tested

Review question: association or prediction?
Position for review

The biomarker is associated with outcome; treatment-predictive value remains unestablished.

Medical affairs

An evidence-gap assessment you can adapt.

Assess clinical questions and evidence gaps across a disease area using a structured method, with support from our scientific team to align the priorities and evidence plan with your medical strategy.

The work productMedical evidence priorities
Evidence-gap map

Medical evidence priorities

Scientific questionCoveragePriority
Comparative outcomesOpenHigh
Older patient groupsLimitedHigh
Long-term tolerabilityPartialMedium
Disease burdenEstablishedMonitor
Position for review

Prioritize comparative outcomes and underrepresented patients in the evidence plan.

FOUR SCIENTIFIC WORKLOADS

The execution behind
every assignment.

Combine data analysis, scientific interpretation and work across an entire list in one assignment, bringing the results together in a finished deliverable.

01

Scientific interpretation and reasoning

Explain a signal in its biological context by testing competing explanations and making the assumptions, contradictory evidence and uncertainty clear.

A scientific explanation your experts can challenge.
Agentic Research Bio Graph
02

Data analysis

Check the inputs, apply the method and calculate the results, keeping the code, parameters and numerical outputs available for review.

DATA → METHOD → RESULTSynthetic example
log₂ fold change−log₁₀ p
Code retainedParameters recordedResults inspectable
A numerical result you can inspect and rerun.Discuss your analysis
03

Batch and list operations

Apply the same operation to every item in a list, saving progress and tracking which searches are complete, returned no matches or failed.

200 drug recordsFind trials · Extract endpoints
200 / 200 accounted for
172 completed20 no matches8 need attention
DRUG–199Search failedRetained for retry
Every input has a result or an explicit status.Scientific Workflows
04

Professional work products

Create a polished report or presentation from scientific findings, preserving their meaning, figures and the evidence supporting each claim.

Scientific meaning. Professional presentation.See a work-product demo
THE SCIENCE BEHIND THE WORK

Scientific AI built for
the complexity of biology.

Causaly connects scientific data, knowledge graphs and AI agents so your team can explore biology, assess hypotheses and apply its methods through repeatable workflows. Follow the evidence and reasoning behind the work, with outputs ready for expert review.

01 / COORDINATE

Agentic orchestration

Coordinate scientific agents to apply your methods and check the evidence, bringing the work together for expert review.

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02 / CONNECT

Knowledge graphs

Connect biological relationships, research programs and development activity to assess evidence in context. Compare targets, modalities and development stages to understand where competition is concentrated and how your program could differ before committing resources.

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03 / RETRIEVE

Scientific retrieval

Find relevant evidence through semantic and graph-based retrieval, with source passages that scientists can inspect.

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04 / CONNECT DATA

Data fabric

Bring literature, scientific data and internal knowledge together as a foundation for scientific work.

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AN OPEN SCIENTIFIC ECOSYSTEM

Build with Causaly.

Build on Causaly’s literature, scientific data, knowledge graphs and scientific harness, accessing its capabilities through MCP, A2A and APIs. Extend established workflows or work with our scientific team to codify your own.

A SCIENTIFIC FOUNDATION YOU CAN EXTENDOpen interfaces · Connected workflows
Causaly
Already built into the platform
Literature & scientific data
Knowledge graphs
Scientific harness
Codified scientific workflows

Retrieval · Reasoning · Orchestration

MCPA2AAPIs
BUILD YOUR OWNYour agents & applications

Invoke Causaly’s scientific capabilities from your architecture.

CODIFY WITH USYour scientific workflows

Extend existing methods or encode a specialized process with our scientists.

CONNECT YOUR ECOSYSTEMMicrosoft & specialist tools

Microsoft 365 Copilot

Combine Causaly with the platforms and computational tools your teams use.

Scientists can also work directly in Causaly’s interface.

Start with the scientific work
your team needs completed.

Explore an established workflow, adapt it to your standards, or build a new scientific process with Causaly.

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Unlock scientific insights from external and internal information at unprecedented levels of precision and efficiency.

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