/ about
Research curiosity meets systems engineering.
AlgoQX is an early-stage deep-tech startup focused on language models and post-training. Our interests span RLHF, RLVR, learning environments and evaluation, supported by work on efficient and controlled AI systems.
/ why
Why AlgoQX
We want to understand what helps an AI system improve and how to establish that the improvement is useful. That means paying attention to feedback design, execution details and evaluation together.
/ principles
What guides the work
- Start with a specific question.
- Make the assumptions visible.
- Build something that can be tested.
- Treat unexpected behavior as evidence to understand.
- Explain the limits of the result as clearly as the result itself.
/ ambition
Our ambition
Develop research and practical tools that help teams create more capable AI systems and assess them with greater clarity.
/ people
Who builds AlgoQX
A small founding team that cares about research questions and the systems that answer them. Meet the founding team.
/ contact
Bring a concrete problem.
Working on model post-training, verification or evaluation? We are interested in conversations grounded in real tasks, practical constraints and questions that can be investigated.
Please share a short description first. Avoid sending confidential data in an initial enquiry.