Orchestrate Autonomous Swarms with Enterprise Precision
Evolved from an elite algorithmic financial execution system into a modular multi-agent orchestrator. Standardize, monitor, and scale complex agent-to-agent workflows seamlessly.
Interactive Agent Swarm Simulator
Test real-time multi-agent execution with streaming state graphs and event logs
Model Agnostic Execution Layer
Decurio abstracts model architectures into unified protocol interfaces. Route dynamic tasks based on latency, cost, and specialized reasoning capabilities.
Anthropic Claude
Optimal for deep reasoning, automated software engineering tasks, and complex multi-tool context resolution.
Kimi
Ultra-long context engine for enterprise document ingestion, legal audit, and multi-file analysis.
OpenAI
High-speed function calling, structured JSON output extraction, and specialized reasoning workflows.
Local Qwen Models
Air-gapped on-premise execution via Ollama or vLLM for sensitive data governance and zero-data-leakage environments.
Core Platform Architecture
Declarative Swarm SDK
Define complex multi-agent interactions using simple Python SDKs or standardized YAML blueprints. Decurio handles state persistence, model evaluation, tool execution sandboxes, and circuit-breaker telemetry automatically.
Seasoned AI & Data Engineering Team
Decurio was architected by a dedicated collective of **Senior AI Engineers, Cloud Data Specialists, and Financial Systems Engineers**.
With over two decades of combined experience designing high-frequency decision loops, zero-trust cloud pipelines, and multi-model agentic swarms, our team created Decurio to bring enterprise governance, sub-second latency, and model-agnostic freedom to modern AI workflows.
Request Information or Demo
Ready to deploy autonomous agent swarms across your enterprise infrastructure? Speak directly with our architecture team to request a custom deployment or live demonstration.
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