Lucidic.AI
Verified Oct 15, 2026 ActiveRuns simulations across thousands of agent configurations to tune prompts, tools, and policies against a custom reward metric.
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
No pricing is published — the site is built around booking a demo rather than self-serve signup, typical of an enterprise sales motion.
Use tool ↗About Lucidic.AI
Lucidic AI helps teams improve an AI agent's performance after it's already in production, by varying its prompts, tool access, memory, and policies across many simulated configurations and scoring each against a reward metric the customer defines — resolution rate, accuracy, or CSAT. It integrates with agent frameworks like LangChain and LangGraph and with model providers including OpenAI, Anthropic, and Gemini, and adds production monitoring with controlled rollouts to catch regressions early. The buyer is enterprise teams running agents for support, legal, data analysis, or coding, where reliability matters more than novelty. The company is based in San Francisco, went through Y Combinator's Winter 2025 batch, and has raised early funding. Pricing isn't published — the site is built around booking a demo rather than self-serve signup.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- Product description: agent configuration optimization, reward metrics, framework integrationslucidic.ai ↗
- San Francisco HQ, Y Combinator W25 batch, funding raisedcrunchbase.com ↗
Is Lucidic.AI legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Nov 6, 2024 (1 year ago)Registry record (RDAP), registrar NameCheap, Inc., looked up Sep 6, 2026
- TLS certificate
- Issued by Amazon, valid until Mar 7, 2027Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- On the market since
- 2024The vendor's own material, read by us
- Operated by
- Lucidic AI, United StatesOur research, card verified Sep 1, 2026
Pros & cons of Lucidic.AI
Lucidic AI treats agent improvement as an optimization problem — simulate many configurations, score against a real business metric, deploy the winner — rather than just logging traces for a human to read. That's a meaningfully different approach from a pure observability tool, but it's enterprise-priced and demo-gated, so there's no way to try it without a sales conversation.
Pros
- Optimizes against a customer-defined reward metric rather than generic quality scores
- Integrates with major agent frameworks and model providers rather than one stack
- Controlled rollout and regression detection for production changes
- Backed by Y Combinator with named enterprise customers
Cons
- No self-serve pricing — every engagement starts with a demo
- Effectiveness claims aren't independently benchmarked outside the vendor's own case studies
Best for
- Enterprise teams with a production agent and a clear metric to optimize against
- Organizations already using LangChain/LangGraph wanting deeper optimization than logging alone
Not for
- Solo developers or small teams wanting self-serve pricing
- Anyone early in agent development without production traffic to optimize against yet