In development

Find the optimal strategy for any game

Describe a strategic scenario in plain language. Our AI structures it into a formal game and discovers the optimal play through reinforcement learning.

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The Pipeline

From description to optimal strategy

Three stages, fully automated. You describe the game. We find the winning play.

01
Describe
Write your game in natural language — players, actions, payoffs, dynamics. Market models, auctions, negotiations, any strategic scenario.
Natural Language
02
Structure
Claude converts your description into a formal RL environment — observation spaces, action spaces, reward functions, transition dynamics.
Claude Opus 4.6
03
Solve
Nemotron-3 Super trains via GRPO in the structured environment on dedicated GPUs, then reports back the optimal strategy with full reasoning.
NeMo RL · GB300
Use Cases

Game theory, made accessible

Any scenario with strategic interaction between rational agents.

Pricing strategy
Multi-firm competition models — Bertrand, Cournot, Stackelberg. Find Nash equilibria in complex market structures.
Auction design
Optimal bidding strategies across auction formats. First-price, second-price, combinatorial, with private or correlated valuations.
Mechanism design
Design incentive-compatible mechanisms. Voting systems, matching markets, resource allocation under strategic behavior.
Negotiation
Multi-party bargaining with asymmetric information, outside options, and time pressure. Find Pareto-optimal agreements.
Built with

State-of-the-art stack

Claude Opus 4.6
Game structuring
Nemotron-3 Super
RL policy
NeMo RL
GRPO training
DGX Cloud Lepton
GPU compute