NemoClaw Enterprise

What You Get

NemoClaw is NVIDIA's open-source security layer for OpenClaw, released in March 2026. It wraps your AI agents in a hardened sandbox: network policy controls, filesystem isolation, process restrictions, and controlled inference routing. Enterprise-grade controls without enterprise software costs.

GTA Labs founder Greg Mousseau is a top-10% contributor to the OpenClaw project by commits. We know the codebase, not just the docs. That means we can trace issues through the source, write patches when needed, and customize agent behaviour in ways that aren't covered by the default configuration.

Deliverables

• NemoClaw deployment on your preferred infrastructure (Canadian cloud regions available — data stays in Canada)
• OpenShell sandbox config with network egress policy, filesystem isolation, and process controls
• Agent customization connected to your data sources and tuned to your use case
• Inference setup via NVIDIA cloud API or local Nemotron model (hardware permitting)
• Policy enforcement configuration — connect NemoClaw to your company's security policies, compliance requirements, and data handling rules. Jensen Huang described this as "the policy engine of all the SaaS companies in the world" — we configure it for yours.
• Eval suite so you can verify it's working correctly
• Full documentation and runbooks — yours to keep and hand to your IT team
• 30 days of post-launch support included

What NemoClaw adds to OpenClaw

Standard OpenClaw is a capable personal AI agent. NemoClaw adds the controls that make it viable for business use:

• Network policy blocks unauthorized outbound connections (hot-reloadable without restarting the agent)
• Filesystem isolation prevents agents from reading or writing outside their sandbox
• Process controls block privilege escalation and dangerous syscalls
• Inference routing intercepts all model API calls and routes them through a controlled gateway

NemoClaw also acts as a policy enforcement layer — connecting your AI agents to your company's existing security and compliance policies. Network rules, data access boundaries, and model routing decisions are all defined as policy, not hardcoded. They can be updated without redeploying the agent.

For organizations that can't send employee data to third-party AI services, this is the architecture that makes capable agents possible without the compliance risk.

Infrastructure options

NemoClaw runs on any Linux server with Docker. We deploy on:

• AWS ca-central-1 (Montreal) or ca-west-1 (Calgary)
• GCP northamerica-northeast1 (Montreal) or northamerica-northeast2 (Toronto)
• Azure Canada Central (Toronto) or Canada East (Quebec City)
• Your own hardware — if you're running on-prem or have existing servers

Canadian regions mean your data never crosses the border. This matters for PIPEDA compliance, and it's a hard requirement for government clients working with Protected B data.

The process

1. Discovery call (30 min) — confirm the use case, data sources, and infrastructure target
2. Provisioning (1-2 days) — spin up the server, configure Docker, install NemoClaw and dependencies
3. Agent setup (2-3 days) — connect your data, tune agent behaviour, write the security policy
4. Testing and handoff (2 days) — run the eval suite, train your team, hand over docs

Most deployments take 1-2 weeks from kickoff to production. Simpler setups (no custom data integration) can be done in a week.

Ongoing managed hosting

Optional. If you want us to handle monitoring, updates, and support after launch:

Starter — up to 10 users, up to 3 agents: $1,200 CAD/month Team — up to 30 users, up to 10 agents: $2,400 CAD/month Scale — 30+ users or custom agent counts: contact us

Infrastructure is billed separately — you pay your cloud provider directly. For reference, a recommended NemoClaw instance (4 vCPU, 16 GB RAM) runs roughly $150-300 CAD/month in a Canadian AWS or GCP region. Add another $300-600/month if you want local Nemotron model inference on a GPU instance instead of the NVIDIA cloud API.

The managed fee covers: monitoring and alerting, NemoClaw and OpenClaw version updates, security policy reviews, and a support SLA.

A note on timing

NemoClaw is in early preview — NVIDIA released it on March 16, 2026. It's production-capable for most use cases, but NVIDIA is explicit that interfaces may change as they iterate. We're upfront about that.

The case for moving now: early adopters get direct NVIDIA support, can influence product direction, and get a real head start before everyone else is running the same stack. If you'd rather wait for a stable release, that's a reasonable call too. Book a time and we'll give you an honest read on whether now makes sense for your situation.

Best for

• Companies with data residency or compliance requirements (PIPEDA, government, healthcare, legal, financial services)
• Teams that want capable AI agents but can't use cloud-hosted model APIs with real customer data
• IT departments that need enterprise controls without a six-figure enterprise software contract
• Organizations already registered on CanadaBuys looking for a vetted Canadian AI supplier

What this isn't

• A replacement for enterprise SOC 2-certified SaaS (if you need that, we'll say so)
• Support for Windows Server or environments without Docker
• A fully managed SaaS product — this is your infrastructure, we just run it for you

Setup: $9,500 CAD (includes 30 days post-launch support). Managed hosting from $1,200 CAD/month (optional, infrastructure extra).