What it sells
AI Co-Pilot for Chemical Process Optimization
Business model breakdown
Buyer: who owns the budget?
UnverifiedProcess chemistry and R&D leaders at pharma and fine chemical companies (Pfizer case study).
Trigger: what makes them buy now?
Reaction optimisation by trial and error is slow and resource-intensive; need faster path from discovery to scale-up.
Workflow: what inputs become what output?
Bayesian optimization (Gaussian process) integrated into Design-Make-Test-Analyze cycle; HTE plate design, solvent selector, kinetics modeling and AI copilot Vera reading data and literature.
Economics: what it saves and how it charges
UnverifiedSoftware platform plus HTE data and glass HTE plates sold as products; pricing not published.
Distribution: how it reaches customers
UnverifiedContact us / getting started led enterprise sales; conferences and case studies.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2024 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.