What it sells
AI operating system for R&D teams in formulation industries
Business model breakdown
Buyer: who owns the budget?
UnverifiedHead of R&D / innovation at formulation companies (inferred from product).
Trigger: what makes them buy now?
Decades of formulas, lab results and regulatory records scattered across Excel files, notebooks and legacy systems; need for regulatory compliance across markets.
Workflow: what inputs become what output?
8-week pilot: data audit (weeks 1-2), build (weeks 3-6), validation against pre-agreed KPIs (weeks 7-8); starts from plain data exports, integrates with GC-MS, LC-MS and ERP, trains private models per client.
Economics: what it saves and how it charges
UnverifiedSold as a paid pilot then platform: typical 8-week pilot (2 weeks data audit, 4 build, 2 validation) on customer plain exports, about 3 hours of customer time; no prices published. Value pitch is faster, cheaper compliant reformulation (demo shows 14% cost reduction vs target).
Distribution: how it reaches customers
Pilot-led direct sales; client commits long-term only after KPI validation; needs about 3 hours/week from client team.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-05-29 | — | €2M | — | news.google.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.