About LithiumQ

LithiumQ emerged from firsthand exposure to supply-chain disruption.

We've seen operational systems fail after early success — not because models were wrong, but because learning stalled while the environment changed.

Before LithiumQ, the founder built and launched a supply-chain software company serving Fortune 100 customers, and designed optimization models used in production. These systems required course correction and assumption-tuning as the environment changed.

That experience raised a practical question:

Can an AI system actually run an operational system — not just advise or forecast — when it must make decisions before the environment is fully understood, and sometimes change that environment in order to learn?

Early attempts followed the standard agent design playbook.

They failed — not due to poor modeling or prompting, but because the structure of learning and decision-making was wrong.

LithiumQ exists to confront this challenge directly.

We are a systems studio focused on long-horizon AI decision-making.
Research first. Products follow once the truth holds.