The infrastructure layer for AI agents
The future of AI is not one giant model doing everything. It's distributed fleets of small, specialized agents working together. Rhelm is the platform that deploys, routes, validates, and scales those agents so they produce real work.
Mission
Make AI agents as reliable and scalable as cloud compute. Every agent accountable, every output validated, every dollar tracked.
Vision
AI agents become as common as apps. Anyone can deploy a fleet of agents the same way teams spin up cloud services today.
Principle
Humans stay in the loop. Agents earn autonomy through graduated trust levels, not blind delegation.
Why Distributed Agents
A single AI model can do a lot. But it can't do everything well, and it shouldn't have to. The same shift happened with computing: mainframes gave way to networks of specialized services. AI is headed the same direction.
Small, focused agents outperform monoliths. A coding agent that only writes code. A QA agent that only reviews. A research agent that only gathers context. Each one is simple, cheap, and replaceable. Together, they handle complex work that no single model could do reliably.
Rhelm is the infrastructure that makes this work. It decomposes objectives into task trees, routes each task to the right agent, validates every output, and gives humans full control over the process. You define what you need. The platform handles which agents run, where, and how.
The Problem
Running AI agents today means stitching together three disconnected tools that were never built to work as one system.
A project tracker
Linear, Asana, Jira for tracking what needs to get done. None of them can actually execute the work.
An agent framework
CrewAI, LangGraph, custom scripts to make agents do things. No management layer, no quality control.
An observability layer
Langfuse, LangSmith, Grafana to monitor cost and quality. Metrics sit in dashboards instead of driving decisions.
Assembling equivalent functionality from separate tools costs $1,070 to $1,550/month.
Rhelm replaces all three in a single infrastructure layer, starting at $49/month.
Jacob & Max
Founders of Rhelm
We started Rhelm because we kept seeing the same thing: teams trying to use AI for real work and hitting a wall. Not because the models aren't good enough, but because there's no infrastructure to manage them at scale.
Everyone talks about AI agents. Nobody has built the platform that actually deploys, routes, and validates fleets of them. That's what we're doing. Rhelm turns raw AI models into managed agent workforces you can operate like any other piece of infrastructure.
We're building this for the teams who need AI that actually ships production-quality work, not demos.
Where This Goes
Agents are following the same trajectory as cloud computing. Rhelm is building the infrastructure for every stage.
Cloud agent routing
Deploy agent fleets across cloud models. Rhelm routes each task to the cheapest model that meets the quality bar. One platform, full visibility, validated output.
Hybrid cloud + local
As open-source models improve, Rhelm's routing adds local on-device agents to the fleet. Cloud for heavy tasks, local for everything else. Same orchestration layer.
Fully distributed
An entire agent workforce running on your own hardware. Your phone, your laptop, your server. No API keys, no subscriptions. The orchestration layer stays the same.
People think of AI as a single assistant. We think of it as a fleet of specialized workers that you deploy, manage, and scale like infrastructure. That's the product we're building.
Infrastructure for the agent era.
Two Products, One Platform
Rhelm
The Control Plane
The management layer for your agent fleet. Define objectives, deploy agents, validate outputs, and track cost. Full visibility into every agent, every task, every dollar.
Pilotr
The Runtime
The execution runtime that agents operate through. Computer use, browser automation, API calls, file operations. Rhelm decides what to do. Pilotr does it.
Build with us
We're building the infrastructure layer for the next era of AI. Get early access.