Lucidic AI
Winter 2025AI Agent Training via Simulations
About Company
As AI agents take on more consequential workflows, the hard part isn’t just whether they work—it’s whether they behave consistently with your company’s knowledge, policies, and expectations. Lucidic AI turns that institutional knowledge into consistent agent behavior by continuously testing, stress-simulating, and auto-optimizing agents against your real production scenarios. Lucidic ingests your real logs, edge cases, and operational rules, then uses controlled simulations, reinforcement learning, and Bayesian optimization to automatically discover failure modes, propose targeted fixes, and verify improvements before anything reaches production. Instead of relying on manual prompt fiddling or guesswork, your agents get a continuous improvement loop: they’re tested, corrected, and optimized based on what your business actually requires—not what a generic model assumes. The result is AI agents that reliably follow your domain logic, adapt to changes, and stay aligned across clients, configurations, and environments—without you needing to hand-engineer every prompt or behavior.
Active Founders
Hi, I’m Abhinav the founder and CEO for Lucidic AI! I’m from Stanford where I studied Computer Science with an AI specialization (both bachelor's and master's) and did research at Stanford's AI Lab. I’ve worked at Apple as a software engineer and at Citadel Securities and Susquehanna International Group as a quant. In my free time, I like to play basketball, pickleball, lift, and rewatch Christopher Nolan movies! Feel free to reach out, would love to chat -- abhinav@lucidic.ai
Founder/CTO at Lucidic AI, working on an analytics, testing, and simulations framework for AI agent devs. Stanford BS/MS Computer Science (AI specialization). Ex Citadel, AppLovin. Previously built GrocerCheck, a COVID-19 web app helping shoppers social distance effectively, with over 200,000 users and endorsed by the Government of Canada. Reach me at andy@lucidic.ai
Hi! I'm Jeremy Tian, one of the founders and the Chief Scientist at Lucidic AI, working to explain your AI models' decisions. I have a BS/MS in Computer Science with an AI specialization from Stanford University. Ex. Quantitative Trader at DRW and software engineering/machine learning engineering at Steel Dynamics. Contact me at jeremy@lucidic.ai!