Lucidic AI
ActiveAI Agent Training via Simulations
About
Lucidic AI helps enterprises train AI agents without changing model weights. Frontier models are powerful, but they are still general-purpose; they do not automatically understand how a specific company operates. Lucidic creates a training layer that adapts agents to a company’s real business environment through simulations.
Founders · 3
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!
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