Orchestration · Intelligence
We provide the primitives. You define the physics.
While we offer robust presets, Brio enforces no specific topology. You are free to structure the Workflow exactly how your domain requires.
The Linear Factory
Researcher → Summarizer → Formatter
The Recursive Loop
Coder ↔ Tester (Repeat until 0 errors)
The Council
3 Agents propose → 1 Judge synthesizes
Common Patterns / Infinite Possibilities
Massive models have hit diminishing returns. We cannot just add more parameters to solve reasoning. The future is not bigger; it is sharper.
Instead of one giant brain, we engineer a network of specialized thinkers. When models collaborate, they solve problems that paralyze a monolith.
The Economics of Thought. High-level reasoning is expensive. Raw execution shouldn't be.
Execution & Syntax
For high-speed code generation and formatting, we leverage hyper-optimized, low-latency models like Devstral 2 2512 or GLM 4.7. Fast, cheap, and brutally effective at following instructions.Dynamic Dispatch
Real-time complexity classification. Routes formatted tasks to Sprinters and logic puzzles to Thinkers, optimizing cost per token without sacrificing quality.Strategy & Verification
When the system needs to architect a solution, audit code for security, or reason through ambiguity, it escalates to heavy lifters like Claude 4.5 Opus.Result: Deep reasoning with the cost structure of a lightweight runner.
LLMs are brilliant, but they’re also chaotic. We didn't build Brio to just "chat" with your machine; we built it to be a craftsman that respects the system it’s working on.
The Sandbox
Intelligence needs boundaries. Every agent operates in a jailed environment (WASI) with atomic state management. We never let AI "hallucinate" changes to your production system.
The Speed
Thought should be instantaneous. We bypass serialization overhead, allowing agents to share memory and context via high-frequency internal channels.
The Supervisor
We do not rely on "autonomous" drift. A central policy engine dictates control flow, ensuring that agents serve the objective, not their own loops.
We are looking for engineers who are bored with prompt engineering and ready to contribute to the mechanization of reasoning.
If you're interested in: