PROMETHEUS

From scientific questions to
therapeutic discoveries.

Meet Prometheus, an AI research agent connecting scientific evidence, biological data and computational tools to support drug-discovery research.

prometheus research agent
$investigate --target venom-toxin
$trace-evidence --sources literature,biology
Evidence Traceable
Research stage Computational
$
Research workflowEvidence-led analysis

Researchers shouldn’t have to connect every step manually.

Scattered evidence

Scientific evidence is spread across publications, biological databases and molecular resources.

Specialized tooling

Computational workflows often require multiple tools and technical expertise.

Limited traceability

Findings need clear sources, reproducible methods and transparent limitations.

From literature review to computational analysis.

A structured process that keeps the research question, evidence and methods connected.

Define the research question

Specify the scientific problem and research objectives.

Gather scientific evidence

Search publications, biological databases and relevant molecular structures.

Execute computational workflows

Run supported analyses using integrated scientific tools.

Deliver traceable findings

Produce a report with sources, methods, results, uncertainties and limitations.

Scientific capabilities for computational research.

Scientific intelligence

Literature research, evidence synthesis and identification of knowledge gaps.

Biological intelligence

Protein sequences, biological targets, annotations and molecular structures.

Molecular analysis

Structure analysis, docking workflows and candidate comparison.

Tool orchestration

Coordination of scientific tools and computational workflows.

Evidence traceability

Sources, data provenance, execution parameters and results.

Research reports

Structured reporting of hypotheses, findings and limitations.

Designed for teams advancing scientific discovery.

Academic researchers

Connect literature review with reproducible computational exploration.

Biotechnology teams

Organize evidence and compare research hypotheses across disciplines.

Research collaborators

Share traceable workflows, sources and methods.

Transparent by design.

Evidence-linked

Keep sources and biological data connected to the conclusions they support.

Reproducible methods

Record workflow steps and computational parameters for review.

Clear limitations

Make uncertainty explicit; computational analysis is not experimental or clinical validation.

A research direction, built with scientific rigor.
Some capabilities described here represent planned product direction. Availability depends on supported integrations and workflows; outputs require expert review and experimental validation.
ILLUSTRATIVE RESEARCH USE CASE

Investigating a venom toxin with traceable computational research.

An illustrative workflow showing how an AI research agent could support antivenom research. This is not a proven therapeutic discovery or clinical result.

01

Investigate the toxin

Frame the biological question

> research investigate venom-toxin

Research focus
Evidence

Find relevant publications, biological mechanisms and molecular structures.

02

Evaluate hypotheses

Explore candidate approaches

> research evaluate hypotheses

Analysis
Assessment

Identify hypotheses and assess candidates with supported computational tools.

03

Report next steps

Keep limitations visible

> research report --with-sources

Deliverable
Traceability

Summarize evidence, uncertainty and potential next research steps.

Illustrative research scenario — experimental validation remains separate.

Compute pricing for Prometheus.

Essential

€20/ compute hour

For focused research tasks and short compute sessions.

Recommended

Balanced

€40/ compute hour

A balanced choice for end-to-end Prometheus research workflows.

Advanced

€80/ compute hour

For intensive, multi-step computational research.

Move from scientific questions to

clearer research workflows.

See how KVASAR Discovery can support evidence-led computational research.

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