About
Helix ML is the infrastructure layer for teams operating AI agents at scale. Rather than running one agent in an IDE sidebar, Helix lets you spin up dozens of fully isolated, GPU-accelerated 4K streaming desktops — each running its own agent with its own browser, terminal, filesystem, and GUI access. You bring the agents (Claude, Codex, or any agent you already use); Helix provides the sandbox, orchestration, observability, and security controls. Deployment options include a Mac App ($299/year) for local agent fleets, a managed Helix Cloud for zero-setup teams, a Linux/Kubernetes install ($199/year) for self-hosted environments, and a turnkey 4U rack server with 8× RTX 6000 Pro GPUs for full data-centre sovereignty ($175K). All options support RBAC, SOC 2 Type II, and ISO 27001 compliance. Helix is purpose-built for spec-driven, parallel agent workflows: write a spec, fan out to multiple agents running in parallel, gate on human review, then merge. This workflow — which Stanford research links to 10× productivity gains — is now accessible without building custom orchestration from scratch. A multiplayer mode lets agents hand off seamlessly across time zones, keeping desktops live between shifts. Helix is ideal for enterprise engineering teams, AI-native startups, and organizations in regulated industries that require air-gapped, jurisdiction-controlled AI deployments.
Key Features
- Agent Fleet Orchestration: Run 15+ isolated AI agents in parallel on a single machine, each with its own sandboxed desktop environment, enabling spec-driven parallel development workflows.
- GPU-Accelerated Streaming Desktops: Every agent gets a full 4K GPU-accelerated streaming desktop — browser, terminal, filesystem, and GUI apps — so you can watch every agent work in real time.
- Self-Hosted & Air-Gapped Deployment: Deploy on a Mac, Linux server, Kubernetes cluster, or a dedicated rack server. Credentials and dev data never leave your hardware, ensuring full digital sovereignty.
- Enterprise Security & Compliance: Built-in RBAC, SOC 2 Type II, and ISO 27001 support give enterprise security teams the controls they require for production AI workloads.
- Multiplayer Follow-the-Sun Workflows: Agent desktops stay live across time zones, enabling seamless handoffs so global engineering teams can maintain continuous progress without context loss.
Use Cases
- Enterprise software teams running parallel AI coding agents to accelerate spec-to-merge workflows at 10× speed
- Organizations in regulated industries (finance, healthcare, government) deploying air-gapped, jurisdiction-controlled AI on their own hardware
- AI-native startups building fleet orchestration to out-ship larger competitors with a small engineering team
- Global engineering organizations using follow-the-sun agent handoffs to maintain continuous development velocity across time zones
- Platform and DevOps teams building a private AI stack — inference, RAG, vision, evals, and fleet orchestration — on internal Kubernetes infrastructure
Pros
- True Data Sovereignty: All compute, credentials, and data remain on your own infrastructure with zero call-home requirements — critical for regulated industries and international teams.
- Massive Parallelism Out of the Box: Achieve 10× productivity gains by running a fleet of agents in parallel rather than a single agent sequentially, without building custom orchestration.
- Flexible Deployment Options: From a $299/year Mac App to a $175K sovereign rack server, Helix scales from startups to Fortune 500 data centres with the same core platform.
- Model-Agnostic: Works with any agent — Claude, Codex, or custom agents — so teams are not locked into a single provider or model.
Cons
- High Cost for Full Sovereignty: The sovereign rack server option ($175K) and enterprise tiers place Helix out of reach for individual developers or very small teams with limited budgets.
- Significant Infrastructure Overhead: Self-hosted Linux and Kubernetes deployments require DevOps expertise to manage, which adds operational complexity compared to fully managed SaaS solutions.
- Overkill for Single-Agent Use Cases: Teams running one or two agents occasionally will not see the ROI that justifies Helix over simpler tools; the platform's value scales with fleet size.
Frequently Asked Questions
Which AI agents does Helix support?
Helix is model-agnostic — you can bring Claude, Codex, or any other agent you already use. Helix provides the sandboxing, orchestration, and desktop infrastructure around them.
What deployment options are available?
Helix offers four options: a Mac App ($299/year), a managed Helix Cloud (zero setup), a Linux/Kubernetes self-hosted install ($199/year), and a turnkey sovereign rack server with 8× RTX 6000 Pro GPUs ($175K).
Is Helix compliant with enterprise security standards?
Yes. Helix is SOC 2 Type II certified and ISO 27001 compliant, and includes RBAC for fine-grained access control — meeting the requirements of most enterprise security teams.
How does Helix differ from running agents in a local IDE?
A local IDE runs one agent in a sidebar with limited isolation. Helix provides full GPU-accelerated sandboxed desktops for each agent, lets you run 15+ in parallel, and gives your whole team real-time observability into every agent's actions.
Is there a free trial?
Yes, Helix offers a free 24-hour trial so teams can evaluate the platform before committing to a paid plan.
