Work + research

Proof in the product.

We built our capabilities against a game with extraordinary combinatorial depth, real-time constraints, and players who do not care how difficult the research was.

Arena Tactics menu showing Prompt Battler and Tactical Control modes

The challenge

Arena Tactics combines cards, positioning, movement, terrain, status effects, unit abilities, and sequencing into a possibility space measured in septillions. That depth is the point. It is also the barrier.

Traditional controls ask a player to master the interface before they can express a strategy. A mobile port can make that worse: the screen gets smaller, but the decision tree does not.

We did not simplify the strategy. We changed how the player communicates intent.

The system

We built a multi-agent architecture that reads a command, inspects game state, develops a plan, translates it into atomic actions, validates every action against the game’s legal constraints, and repairs the plan when necessary.

That architecture supports a fully conversational mode, adaptive AI opponents, and intelligent co-play. Players can issue a complete tactical plan, give a short instruction, or let the system fill in the gaps while staying inside the rules.

The mobile move

Language control abstracted away the most interface-heavy parts of play. Instead of reproducing every desktop interaction on a small screen, the mobile experience could preserve the decision while compressing the execution. That made it possible to bring the game to mobile in one month.

The result

Arena Tactics became more than a game. It became a live research environment for agent evaluation, multimodal state understanding, spatial reasoning, model distillation, headless simulation, and the player-facing experiences now offered through Playable and Playthrough.

Multi-agent gameplay architecture

Case study 02 / Groq

When the model got faster, players changed how they played.

Rebuilding Arena Tactics around a multi-agent framework running on Groq turned language control from an experiment into a responsive gameplay mode.

faster commands
60%+AI-powered mode adoption
14×lower cost per game
Read the Groq customer story

Your product can become the proving ground

Build the capability around a real outcome.

We work backward from the decision, experience, or production constraint. Research earns its way into the product.

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