What it sells
Reimagining how Machines Learn
Business model breakdown
Buyer: who owns the budget?
UnverifiedHead of AI / ML engineering at an AI-product company.
Trigger: what makes them buy now?
Agent accuracy plateaus after months of manual prompt tuning; Cresta case moved a benchmark from 59% baseline to 87.5%.
Workflow: what inputs become what output?
Lucidic runs evolutionary simulations (EvoSims) to auto-improve prompts, tools and policies and co-trains custom models and harnesses on the customer data.
Economics: what it saves and how it charges
Claims 24 hours vs months of researcher time and under 0.1% of cost ($200 vs $100k+) in the Cresta case; commercial model not stated.
Distribution: how it reaches customers
Demo-led: Book a Demo / Talk to us; docs site and published research.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2025 | — | 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.