Haladir

Founded by Joseph Tso in 2025

Building Operational Superintelligence

Time to value

Requires Expertise

You can use Haladir to develop and train AI models for economically complex tasks by combining reinforcement learning with operations research and formal verification methods. The AI product lab specializes in verifiable domains, helping researchers and developers create constrained optimization systems with mathematically proven reward signals. You get access to research tools like ConstraintBench for benchmarking and training language models on constrained optimization problems, and RLFR for training coding models using formally verified rewards.

What Haladir does

Train reinforcement learning models with formal constraintsBenchmark AI performance on constrained optimization tasksCreate formally verified reward systems for model trainingDevelop AI models for economic optimization problemsResearch operations research applications in machine learningBuild constrained optimization benchmarking environmentsVerify AI model behavior using formal mathematical methodsCreate training datasets for constrained AI systemsCombines reinforcement learning with operations researchProvides formally verified reward signals for AI trainingSpecializes in constrained optimization problemsOffers ConstraintBench for benchmarking language modelsCreates mathematically proven AI training methodsFocuses on economically complex task domainsIntegrates formal verification with machine learningBacked by Y Combinator accelerator program