Enterprise NemoClaw
Implementation.
Deployed, Secured,
Managed.
The deployment service for NVIDIA NemoClaw — guardrail configuration, sandbox hardening, policy engine setup, privacy routing, and ongoing managed care. Backed by Space-O Technologies (est. 2010, 200+ engineers). From assessment to production in weeks, not quarters.
What We Deploy
Three hardened components that turn NemoClaw from a demo into a production system.
OpenShell Sandbox
Container-level isolation for every agent action.
- gVisor kernel-level sandboxing
- Network egress controls per container
- Read-only root filesystem, cap-drop=ALL
- Ephemeral execution — no persistent state
YAML Policy Engine
Declarative guardrails that your compliance team can read.
- NeMo Guardrails integration (Colang 2.0)
- Action-level rate limits and spend caps
- Human-in-the-loop escalation triggers
- Git-versioned policy changes with audit trail
Privacy Router
PII never reaches the LLM. Compliance by architecture, not policy.
- Pre-LLM PII detection and scrubbing
- Data residency routing (US, EU, APAC)
- Token-level redaction with reversible mapping
- EU AI Act Article 52 transparency logging
Pricing
Four engagement models. Fixed scope, fixed price. No surprise invoices at month-end.
1 week · Architecture review
- Current stack audit
- NemoClaw fit analysis
- Security gap report
- Implementation roadmap
30 days · Single-workflow proof of value
- 1 production workflow deployed
- Full guardrail configuration
- Sandbox + privacy router
- ROI measurement framework
2–6 weeks · Full production deployment
- Multi-workflow deployment
- Custom guardrail policies
- CrowdStrike integration
- Team training + runbooks
Managed care + SLA
- 99.9% uptime SLA
- CVE patches within 24 hours
- Policy drift monitoring
- Quarterly security reviews
Infrastructure costs are separate and pass-through: GPU compute, cloud hosting, and NVIDIA licensing are billed directly by your cloud provider. We don’t mark them up.
Year 1 TCO: ManageMyClaw vs. Alternatives
Implementation + managed care + infrastructure. Apples-to-apples comparison for a mid-market deployment (3 workflows, 50 users).
| ManageMyClaw Implementation + MC |
Internal Team | Accenture / Big 4 | Independent Consultant | |
|---|---|---|---|---|
| Implementation | $45,000 | $350,000+ | $500,000+ | $150,000 |
| Year 1 managed care | $60,000 | $400,000+ | $360,000+ | Not offered |
| Infrastructure | $120,000 | $120,000 | $120,000 | $120,000 |
| Hidden costs | $0 | $680K+ (hiring, ramp) | $280K (change orders) | Key-person risk |
| Year 1 Total | ~$225K | ~$1.55M | ~$1.26M | ~$150K* |
* Independent consultant pricing excludes managed care (not offered) and assumes no scope creep. Infrastructure costs are equivalent across all options. All prices USD.
Why ManageMyClaw
Four reasons enterprises choose us over building an internal team or hiring a Big 4 consultancy.
Space-O Technologies
Established 2010. 200+ engineers. Enterprise delivery track record across fintech, healthcare, and government. Not a 2-person agency.
Regulated Industries
HIPAA, SOC 2, EU AI Act. We’ve built compliance into agent deployments for financial services, healthcare, and legal firms. Not an afterthought.
NVIDIA Ecosystem
NeMo Guardrails, NIM microservices, Triton inference. We work within NVIDIA’s stack — not around it. Direct access to NVIDIA partner engineering.
No Vendor Lock-In
Your infrastructure, your code, your policies. Everything we deploy is documented and transferable. Fire us whenever you want — you keep everything.
CrowdStrike Falcon Integration
Runtime security for AI agents. Because guardrails without observability is hope-driven engineering.
Runtime Telemetry
Every agent action logged to Falcon. Process execution, network calls, file system access — correlated with agent intent. Anomaly detection that understands AI workloads.
Prompt Injection Detection
Behavioral analysis at the host level catches prompt injection attacks that guardrails miss. If an agent starts doing something its policy doesn’t allow, Falcon flags it before damage is done.
Automated Kill Switch
Falcon Real Time Response can isolate a compromised agent in under 3 seconds. No manual SSH required. Works at 2 AM when your team is asleep.
Architecture: CrowdStrike Falcon sensor runs on the host OS, not inside the container. This means it observes agent behavior at the kernel level — below the layer where prompt injections and jailbreaks operate. Guardrails handle the 99%. Falcon catches the 1% that gets through.
Frequently Asked Questions
NemoClaw is NVIDIA’s enterprise agent framework that combines NeMo Guardrails with sandboxed execution, a YAML policy engine, and a privacy router. Think of NeMo Guardrails as the brakes — NemoClaw is the full safety system including seatbelts, airbags, and the crumple zone. It’s designed for agents that take actions, not just answer questions.
Yes. NemoClaw is model-agnostic. The guardrails and policy engine sit between your application and the LLM — they don’t care which model is behind the API. We’ve deployed with GPT-4, Claude, Llama, and NVIDIA NIM endpoints. The privacy router works the same regardless of provider.
If your agents interact with EU citizens or process EU data, you’ll need Article 52 transparency logging, risk assessment documentation, and human oversight mechanisms by August 2026. Our implementation includes all three out of the box. The privacy router handles data residency routing, and the policy engine enforces the human-in-the-loop requirements.
A 20–30 page document covering: your current AI stack audit, NemoClaw architecture recommendation, security gap analysis, integration plan with existing systems, infrastructure requirements, estimated timeline and costs for implementation, and a risk register. You own the document. If you want to implement it yourself or hire someone else, that’s fine.
2–6 weeks for most deployments. The range depends on: number of workflows, complexity of your existing infrastructure, compliance requirements, and how quickly your team can provide access and feedback. A single-workflow pilot with standard infrastructure takes 2 weeks. A multi-workflow deployment with custom policies, CrowdStrike integration, and SOC 2 documentation takes 4–6.
Managed Care customers get CVE patches within 24 hours. We maintain a staging environment that mirrors your production setup. Every patch is tested there before deployment. For critical vulnerabilities (CVSS 7.0+), we apply compensating controls immediately while testing the full patch. You get a notification with the CVE details, our assessment, and what we did about it.
Yes. We deploy on AWS, GCP, Azure, or on-premises infrastructure. The architecture is the same — Kubernetes orchestration with Helm charts. For air-gapped environments, we provide offline installation packages. Data never leaves your network unless you explicitly configure external LLM endpoints.
You can. NeMo Guardrails is open-source and well-documented. But guardrails alone aren’t a production security posture. You’ll need to build the sandbox layer, privacy routing, policy engine, monitoring, CrowdStrike integration, and operational runbooks yourself. Companies that try typically spend 6–9 months and $350K+ in engineering time (2 senior engineers at $175K fully loaded for 6 months). We do it in 2–6 weeks for $15K–$45K because we’ve done it before.
Schedule Your Architecture Review
One call. We’ll map your current AI stack, identify the gaps NemoClaw fills, and give you a concrete implementation timeline. No pitch deck. No sales pressure. Just architecture.