Agentic automation for biomedical R&D
Drug discovery teams operate in a data-rich environment, but research productivity is constrained by fragmented tools, repetitive retrieval work, and manual synthesis across many biomedical sources. We build LLM-powered agentic systems that retrieve, normalize, and synthesize evidence — then execute multi-step discovery workflows with clear traceability.
- Multi-source biomedical evidence in minutes, not days
- Source-traced summaries with full citations
- Built on the same patterns proven in OnTarget
- Built to hand over — your team owns it
Why this matters in drug discovery
Scientists shouldn't be copy-pasting between portals. Agentic automation lets them ask high-level questions while the system executes the underlying data workflow.
Cross-source synthesis
Compare targets, variants, pathways, expression patterns, and trial evidence in a single workflow.
LLM-orchestrated planning
Goals are decomposed into multi-step plans the agent executes, validates, and adapts.
Evidence-grounded outputs
Every conclusion is linked back to its primary source — never a hallucinated citation.
Governed execution
Human-in-the-loop approval gates for sensitive or irreversible actions.
Example agentic discovery workflows
Repeatable workflows that combine literature, target intelligence, genetics, expression, pathways, structural data, and the clinical landscape.
Target triage & prioritization
- Start from a gene or disease hypothesis.
- Pull target–disease associations, expression context, human genetics support, and pathway links.
- Score and summarize target suitability with transparent source traces.
Variant & mechanism deep dive
- Gather known variants and clinical significance.
- Cross-reference structural and functional evidence.
- Generate a mechanism-focused summary with linked references.
Competitive & clinical landscape review
- Retrieve relevant trials and therapeutic programs.
- Summarize modality, phase, inclusion patterns, and endpoints.
- Produce a concise landscape report for portfolio decisions.
Research brief generation
- Compile literature, target biology, genetics, and phenotype evidence.
- Draft a decision-ready report or slide narrative automatically.
- Keep humans in control with approval checkpoints before finalization.
Value for biomedical organizations
Start with a focused pilot on one therapeutic area or target class. Define 2–3 recurring decisions, configure integrations and guardrails, benchmark against current turnaround time, then expand to broader pipeline workflows after measurable gains.
- Faster hypothesis-to-insight cycles
- Consistent evidence synthesis across programs
- Reduced manual burden for scientists and bioinformatics teams
- Improved reproducibility and auditability of decision support
- A scalable operating model from exploratory research to portfolio review
Let's talk about your workflow.
Start with a focused pilot. Prove ROI quickly. Scale into a portfolio of automations your team owns end to end.
See how we did it for In Your Genes Consulting → OnTarget case study