AI research + product development
Applied intelligence, informed by worlds.
ReBlink builds multi-agent systems, multimodal models, and generative tools that make complex products easier to use, test, and evolve.
What we build
Four ways to turn AI into an advantage.
Built from the same R&D foundation: agents that understand a system, operate inside its rules, and produce outcomes you can verify.
Forensic QA, with receipts.
Build agents, run the real engine headlessly at scale, and ask the results questions in plain language. Every answer traces back to a replay.
Explore Playthrough
Make hard games playable by anyone.
Add conversational modes, co-pilots, and capable in-game agents without flattening the depth that made the game worth playing.
Explore Playable
Generate materials, not just maps.
Search, generate, and refine textures and functional shaders in-engine, grounded in your studio’s existing asset library.
Explore Matter
Own the model behind the experience.
Design, train, distill, benchmark, and deploy models for bounded workloads. Run them on-device, in your cloud, or inside your product.
Explore AI Models
Built in the arena
A game with a possibility space measured in septillions.
Arena Tactics forced us to solve the hard problems first: spatial reasoning, legal-action validation, language control, non-deterministic play, and bringing desktop-scale strategy to mobile in one month.
Read the Arena Tactics case studyHave a difficult AI problem?
Good. Those are the interesting ones.
Bring us the system, the constraint, and the outcome you need. We’ll help you find the shortest credible path from research to a product people can use.
Start a conversation