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Scientific AI Agent

Hypotheses become results overnight.

SilicoLabs prepares, executes, and interprets in-silico experiments for your research team. Explain your test. We create the protocol, run the simulation, and return structured results while you sleep.

Abstract molecular simulation data streams displayed on a dark monitor
140+ Completed simulation runs Across pilots so far
12 hr Median turnaround Hypothesis to structured output, pilot benchmark
4 Skipped reagent synthesis cycles For each pilot team monthly, from intake surveys
The workflow

Three moves from idea to results

Skip setup. Explain the experiment, receive structured output.

01

State your experiment

Describe the hypothesis plainly, including the compound, target, or process under test. Simulation expertise is not required.

02

Protocol built automatically

The AI agent chooses the simulation method, prepares force fields, defines parameters, and queues the job. A protocol summary arrives before execution.

03

Results ready by morning

Receive structured output, key metrics, interpretation, and exportable data, ready before the day's first meeting.

Applications

For in-silico-first research

Drug discovery, protein engineering, and process chemistry teams use SilicoLabs for experiments otherwise awaiting lab availability.

Screen lead compounds

Evaluate hundreds of candidate compounds with binding simulations before synthesis. Sort candidates in silico, not in the lab.

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Dock protein ligands

Map binding modes and estimate interaction energies across target-ligand pairs. Rank candidates ahead of wet-lab validation.

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Pre-screen toxicology

Check structural alerts and ADMET properties computationally before animal studies. Surface concerns early in discovery.

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Refine process chemistry

Model reaction pathways, solvent effects, and yield outcomes computationally to inform experimental design and limit costly batch failures.

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Pilot evidence

Results from pilot teams

"We ran a 200-compound docking screen across two overnight batches. Work that required three weeks of scheduled cluster time and a bioinformatics contractor returned in 30 hours, interpretable, with none of us touching a configuration file."

Dr. Sofia Andrade

Postdoctoral Researcher, small-molecule discovery, early-access cohort

73%

of pilot teams ran experiment two before week two

From early-access usage logs, August 2025

Pricing

Pricing for research budgets

No setup charges or per-simulation overages. Predictable monthly pricing for any team size.

Pilot

For individual researchers exploring early ideas

$149/mo
  • Up to 20 runs each month
  • MD and docking
  • Exportable results
Get started
Most popular

Lab

For research groups running experiments weekly

$599/mo
  • Unlimited runs
  • All methods
  • Priority queue, 12 hr SLA
Get started

Department

For departments sharing infrastructure across groups

Custom
  • Team access and billing
  • Onboarding support included
  • Data handling agreement provided
Contact us
Compare pricing and features

Ready for your first in-silico test?