Applied AI Research for
Industrial and Interactive Systems
Revna develops AI systems for domains where structure matters — from industrial plant diagrams to interactive game worlds.
Our Approach
Beyond Text.
An architecture that combines language with structured world understanding
Building systems beyond standard LLMs — AI designed for domains with inherent structure, logic, and rules.
Across Domains.
Spanning Enterprise AI and Game AI Research
We currently collaborate with enterprise teams in construction and related industries, while advancing research in Game AI and new model architectures beyond standard text-only LLMs.
Our Challenge
Revna's Quest
How to represent a world with structure,
and how to reason within stateful environments.
AI R&D for a World with Structure
AI that reasons over structures language models were never designed to handle.
We tackle challenges that text processing alone cannot solve.
Blueprints
Graphs
Timelines
Rules
State Changes
Interactions
Projects Driven by This Question
We work with enterprise teams in construction and plant industries while advancing research in Game AI and next-generation model architectures in parallel. We have also tackled AI projects involving complex data, such as long-form video understanding.
Game
Hybrid Architecture → Explainable Game AI
Fusing reinforcement learning with language models to build AI that explains why a move is good. From coaching AI for chess and shogi to new game experiences powered by explainability.
Construction
P&ID Graphs → Not text, but structured relational reasoning
We convert P&ID diagrams into graphs and combine them with expert reasoning traces (ERT) to deliver predictive plant maintenance through causal understanding.
Contact
We'd love to tackle your hardest problems.
Whether it's AI adoption, research collaboration, or career opportunities — let's talk.