The AI Agent Control Plane
Arachne is the orchestration infrastructure enterprises need to deploy, manage, monitor, and govern AI agents at scale — across any model, any vendor, any use case.
The Problem
Agent chaos is the new technical debt
As AI adoption accelerates, enterprises face unmanageable sprawl — dozens of agents, fragmented tooling, no oversight.
Fragmented Tooling
Every agent uses different frameworks, different monitoring, different deployment pipelines.
Runaway Costs
No visibility into per-agent token spend, no rate limiting, no cost allocation across teams.
No Governance
Security, compliance, and audit requirements impossible to meet without a unified control layer.
The Platform
Everything you need to run AI agents in production
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Intelligent Routing
Route agent requests to the right model based on task type, cost, latency, and performance history — automatically.
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Unified Observability
Real-time dashboards for every agent — token usage, latency, error rates, and full conversation traces in one place.
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Cost Control
Per-agent budgets, rate limiting, and cost allocation across teams and projects. No more surprise AI bills.
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Governance & Compliance
Audit logs, access controls, PII filtering, and policy enforcement across your entire agent fleet.
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Multi-Model Support
One platform for OpenAI, Anthropic, Google, Azure OpenAI, and self-hosted or open-source models.
Enterprise Applications
We were spending more time wrestling with AI infrastructure than building our actual product. The tooling we needed didn't exist — so we built it.
Our Story
Built by engineers who lived the problem
Arachne wasn't born in a boardroom. It was built out of necessity while developing an AI-powered application — managing multiple agents across different models became the hardest part of the job.
With 30+ years of engineering experience — including deep AI and IoT work at Microsoft — we knew what enterprise infrastructure needed to look like. Arachne is the platform we wished we had.
Talk to the Team