Research Automation
Run your experiment loop with AI
Discovery Loop links proposal, execution, and analysis, using computation to examine more of the search space than a lab can test manually.
The Hold-up
Every handoff slows the experiment cycle
Researchers spend days after each run interpreting results and choosing the next test. Discovery Loop automates that transition.
Days between runs
Average time from receiving results to scheduling the next experiment, based on early-access lab interviews.
Of the search space explored
Typical share of relevant parameter space examined during a standard multi-week optimization study.
Of PI time on management
Portion of a principal investigator's effort spent coordinating data review and next-step choices instead of generating hypotheses.
The Workflow
A closed loop in four stages
Raw instrument output becomes the next experiment without a manual handoff.
Propose
Using current data, AI ranks experiment candidates by expected information gain.
Queue
Send leading candidates to an instrument, simulation layer, or CRO by API or CSV export.
Read
Direct API connections or file uploads bring results into Discovery Loop, where vendor-specific formats are normalized by the parser.
Decide
After updating its model, AI suggests the next round. Review it, override it, or allow the loop to continue on its own.
Research Areas
Built for iterative research
The loop suits fields where progress comes from experiments, results, and repeated cycles.
Materials Discovery
Search composition, synthesis settings, and processing parameters across combinatorial material spaces.
Drug Discovery
Explore compound libraries and assay conditions to find hits with fewer experimental steps.
Synthetic Biology
Iterate construct designs and genetic circuits toward better yield and stability.
Process Chemistry
Refine reaction conditions, solvent choices, and scale-up parameters cycle by cycle.
Early Proof
Early testing results
A 63% reduction in experiment cycles needed to reach optimal conditions across 47 multi-step optimization tasks in our internal test suite, compared with unguided sequential search.
"In four weeks, we ran 20 iterative cycles. Before the loop, that would have taken most of a semester and several talks about what to run next."
Lead researcher, four-person computational materials group, early-access program
"The result parser stood out. It accepted our plate reader exports without format setup, and the loop was running that same afternoon."
Postdoctoral researcher, synthetic biology lab, pilot cohort
Pricing
Clear pricing for research teams
Start free and grow with your lab. No instrument contracts or per-seat surprises.
Lab Explorer
Free
For individual researchers starting out
Research Team
$299/mo
For active labs with concurrent experiment queues
Institute
Contact us
For multi-group institutions and CROs
Get Started
Close your first loop this week
Start free. No instrument contract required. Connect your first data source in 10 minutes.