Ship Faster without the chaos
Parallelize coding work in isolated environments so agents can build, test, and debug safely at scale.
Parallel work without collisions
Each agent thread runs in a fresh VM with its own filesystem. Launch isolated agents in seconds, parallelize work with minimal overhead, and let them build, test, and debug end to end without stepping on each other.
E2E testing in isolation
Agents clone your repo, install dependencies, and run full test suites inside their own VM with zero interference between parallel runs.
Spin up in seconds
New agent VMs boot in seconds, not minutes. Scale from one agent to dozens while keeping filesystems and runtime state separate.
Next.js service exposed on :3000
Database container seeded before tests
Browser runner attached to the same network
Waits until services are ready, then starts E2E
Docker supported
Docker supported, so agents can spin up your services locally and run E2E tests.
Bring Your Own Model
Your subscription or API keys. Our infrastructure is fully model agnostic.
Review live demos, not code
Agents can spin up live demos from your actual branch in isolated environments, so you can review the running feature, call out what feels off, and send them back to refine it until the experience is right.
Source branch
feature/pricing-redesign
CompanyHelm preview
Live demo ready for review
Environment
Isolated VM
Inputs
Your repo + deps
Output
Shareable preview
Human review
See the actual UX before shipping
Feedback loop
“Tighten the hero and simplify the CTA.”
Agent iteration
Patch, relaunch, review again
Bring every model your team trusts
OpenAI
Anthropic
Gemini
OpenRouter
NVIDIA
Any OpenAI Compatible endpoint
The workflow
Plan the feature with an agent, fan work out across isolated parallel threads, and review the final PR with a live demo before anything ships.
Plan the feature with an agent
Start with one agent to shape the feature, clarify requirements, and lock in the execution plan before implementation begins.
Run agents in parallel
Spin up as many isolated agents as you need so multiple features can build, test, and debug independently without collisions.
Review the PR and live demo
Each agent opens a PR with a live demo of the app so you can review the result, request changes, and iterate before merge.
Our partners
Plans
Start free, upgrade for more LLM credits, and still bring your own provider keys whenever you want direct control.
Free
Starter workspace access
Free
$5 included LLM credits / month
$5 included LLM credits / month
Isolated Virtual Machines
Remote desktop
Custom Agents: MCP, Skills, instructions
Github integration
Model agnostic: OpenAI, Anthropic, OpenRouter
Plus
PopularFor teams using agents weekly
$9/month
$50 included LLM credits / month
Everything in Free
$50 included LLM credits / month
Pro
For teams running agents daily
$99/month
$500 included LLM credits / month
Everything in Plus
$500 included LLM credits / month
What our users say
See what our users have to say about CompanyHelm.
Custom agents
Thiago Costa
CompanyHelm cut our agent setup from days to hours, so every new workflow starts with the right MCP servers, skills, instructions, and secrets already wired in.
Fresh VM per Thread
Luca Romano
CompanyHelm gave every agent its own clean VM, which let us run parallel work without environment collisions slowing releases or breaking active threads.
Model Agnostic
Priya Nair
CompanyHelm let us choose the best model for each job, which lowered cost, avoided vendor lock-in, and made it easier to ship AI features on our terms.