About Lucidic AI
Lucidic emulates model training without changing model weights. The last decade made models intelligent, but intelligence is not the same as experience. Humans do not get better by memorizing thousands of examples; we build learning systems around ourselves: skills, memories, critique, practice, tools, and guidance. And every person learns differently because every task is different. Lucidic brings that idea to AI agents by training a custom learning system for each agent, so it learns what to remember, what skills to build, when to ask for help, and how to improve from experience. The model provides the intelligence, Lucidic gives it a way to learn.
Company details
Funding
Total raised
$500K
Last stage
Pre-seed
Investors
Founders
Jeremy Tian
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 [email protected]!
LinkedIn
Abhinav Sinha
Stanford BS/MS Computer Science with AI specialization; ex-Stanford AI Lab researcher, Apple software engineer, and quant at Citadel Securities and Susquehanna International Group.
LinkedIn
Andy Liang
Stanford BS/MS Computer Science (AI specialization); Stanford national competitive programming team; ex-Citadel and AppLovin. Built GrocerCheck, a COVID-19 app with 200K+ users endorsed by the Government of Canada.
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