Science at the
speed of AI.
Sigmatic Scout takes a research question, generates testable hypotheses, and tests them — orchestrating 300+ validated scientific tools in your lab ecosystem to return evidence. The AI scientist that acts.
Research teams are under-resourced for the science they need to deliver.
Drug discovery teams are losing scientific time to the wrong work. The problem is not a shortage of tools. It is a shortage of capacity to act on them at the speed the work demands.
Scientific capacity lost to coordination.
The tools and data exist. What research teams lack is the capacity to connect them at the pace the science requires. Scientific time is consumed by coordination, not discovery.
Scientific resource — at the speed of AI.
Scout handles the coordination layer — orchestrating tools, integrating lab data, and testing hypotheses — so scientists focus on the decisions only they can make.
The only AI scientist
that knows what happened at the bench.
Scout is built on the SigmaticOS orchestration layer of 300+ validated scientific tools. A scientist asks a research question. Scout generates testable hypotheses, selects and sequences the tools and data sources needed to test them, integrates context from the lab ecosystem (ELN, LIMS, data lake) and returns with evidence. Not a summary of what others have found. Science that acts.
From research question
to tested hypothesis.
Scout orchestrates the tools and data a scientist needs to test a hypothesis — automatically, traceably, and trained on the science it has already performed.
In silico modeling
Describe your hypothesis in natural language. Scout orchestrates structural models, docking simulations, and target analysis — you don’t need to know which tool to use.
Generate the candidate
Scout generates molecules and structures as outputs — not summaries, not ranked lists. Actionable candidates ready to move to the bench, powered by SigmaticOS.
Integrate your wet lab
Scout connects to your lab ecosystem — ELN, LIMS, data lake, orchestrators — ingesting assay results and biological readouts as first-class inputs.
Learn and refine
Scout trains on the science it runs — combining computational and experimental results, sharpening across your target classes, with every decision fully traceable.
Built on SigmaticOS.
20 years of lab informatics, one platform.
In Silico Tools
300+ validated tools — docking, folding, retrosynthesis, ADMET, BLAST, codon optimization — routed automatically.
Trainable Models
Every experimental cycle sharpens the platform on your target classes and assay protocols. The more you run, the better it gets.
Traceability
Every decision logged, inspectable, and defensible. Full audit trail from hypothesis to endpoint.
Enterprise Deployment
Your data, your environment. Private cloud on NVIDIA and AWS. Nothing leaves your perimeter.
Scout in Action
Every workflow starts with a prompt.
Scout is built for production-grade drug discovery.
| Scout | Academic AI Scientists | |
|---|---|---|
| ELN/LIMS Integration | ✓ | × |
| Organizational knowledge base (RAG) | ✓ | × |
| Custom ML model training | ✓ | × |
| Custom pipelines | ✓ | × |
| Lab informatics heritage | ✓ | × |
| Enterprise compliance | ✓ | × |
| Agent Auditability | ✓ | × |
Trains on your science.
Auditable at every step.
Scout trains on the science it executes — sharpening across your target classes, assay protocols, and experimental history. Every decision is logged, inspectable, and auditable. Deployable in your environment, on SigmaticOS’s 20+ years of regulated lab informatics infrastructure.
Latest from Sigmatic Sciences
Press releases, research updates, and product announcements.
Living in a Golden Age for In-Silico Biology
Breakthroughs in computational structural biology have expanded protein structure prediction — but discovery teams now face a new challenge: selecting the right model for the right target.
Multi-agent AI for Target Assessment: Turning Evidence into Decisions
The data for target assessment exists — the challenge is connecting disparate sources into a cohesive, reproducible workflow that reduces decision-making time.
Sigmatic Sciences Launches SigmaticOS – The Only Complete Lab-in-the-Loop Platform for All Scientists
SigmaticOS features 100+ agents integrating computational tools, lab automation, and model training — enabling the transition from copilot to autopilot with full traceability.
Science at the speed of AI. The only trainable AI scientist that takes your research question and tests it — with every decision fully traceable and auditable.