Deploy Quants
at Scale

Robonet introduces the first quant stack technology solution built for AI agents so users can direct the full research-to-deployment cycle: create, validate, optimize, and deploy quant-grade strategies entirely through AI-native workflows, delivered at the speed of AI.

Backtest results
What is Robonet?

The Operating System for Capital

Currently, AI agents can accelerate research, analysis, and operational workflows, but are limited in the ways in which they can deploy that capital onchain.

Robonet takes AI agents to the next level by providing you with a technology for developing strategies and deploying agents leveraging decentralized AI.

Built leveraging Allora's collective intelligence network, Robonet provides two things:

  • A strategy engine that helps you convert natural language into structured strategy frameworks that are executable through agentic logic.
  • A hosted connectivity and automation layer supporting your non-custodial strategy implementation across approved third-party venues and chains using your favorite wallets and accounts.

Users and partners don't have to run the administrative infrastructure and instead focus on strategic intent and oversight, with Robonet assisting with reasoning, simulation, and workflow execution.

How it works?

How does Robonet Work?

Robonet is a technology layer for building and running intelligent trading strategies. Users express intent in natural language, which Robonet converts into structured framework logic and evaluates against user-selected data feeds. Actions (such as alerts, analytics, or generated instructions) are triggered when user-defined conditions are met, and trading or execution occurs on the user's chosen platforms.

The system is modular, allowing users to separate strategy, analysis, prediction, and execution, and their agents to leverage predictive forecasts when users believe they add value after testing.

Robonet agents can be configured with topic modules, intended to enable smarter, more creative agents for DeFi that are powered by decentralized AI.

LLM Strategy Brain

LLM Strategy Brain

Converts intent to structured logic. Improves as foundation models improve.

Quant & Simulation Tools (MCP)

Quant & Simulation Tools (MCP)

Backtesting, optimization, alerts and user-defined risk modeling.

Intelligence Layer (Allora)

Intelligence Layer (Allora)

Optional decentralized ML forecasts injected where they add signal value, defined by users.

RoboNet MCP

Integrate Robonet's Brain into Your Workflow

Robonet MCP is the technology layer that powers strategies built on RoboNet, designed to integrate natively into existing products, UIs, and developer environments.

Instead of building custom quant stacks or stitching together tools, the RoboNet MCP gives you a standardized way to:

  • Turn your strategy intent into structured logic
  • Access market data, simulations, and risk tools
  • Prepare your strategies for deployment across venues
RoboNet MCP
For Partners

Built to Integrate

Protocols & dApps can integrate Robonet technology directly within approved existing platforms, which enable:

Reasoning and tool calls run on Robonet infrastructure

Users to execute trades on partner venues or Robonet-hosted vaults

Integration directly via the Robonet API

Robonet becomes the technology layer driving agentic strategies within your native product.