OpenClaw & NemoClaw:
one engineer, a fleet of agents, locked down
Deploy autonomous AI agents that run on your own infrastructure, act across your stack, and stay inside the guardrails our NemoClaw security layer enforces. One senior engineer runs the setup so your team ships fast without shipping a liability.
Free 30-min call · Leaves with a policy-engine setup plan, not a sales deck
Teams we ship for
The new AI software engineering
Coding changed. Engineers stopped being the bottleneck.
The bottleneck moved to orchestration. Claude Code is the brain, MCP plugs into your stack, E2B sandboxes every action. One of our engineers ships like three normal hires.
- 01Claude Codethe brain · subagents · MCP
- 02Anthropicmanaged agents · runtime
- 03CursorIDE pair-programming
- 04n8ncron · webhooks · glue
- 05E2Bsandboxed compute
OpenClaw agents act. They plan the work and run it.
OpenClaw agents live on your own infrastructure. They plan multi-step tasks and take real action across your systems: filing CRM records, processing invoices, running an onboarding flow start to finish.
Raw OpenClaw running without guardrails on your corporate network is a liability though. Every agent that can read a file or call an API is also a way data can leave the building. That is where NemoClaw comes in.
1
senior engineer orchestrating your entire agent fleet
0
unrestricted network calls once your policies are live
24/7
sandboxed execution and policy enforcement, not best-effort
2 wks
to a live pilot deployment on a single use case
The Enterprise Problem:
Open Source Power Without Enterprise Controls
OpenClaw gives your agents unlimited access to files, APIs, and network resources by default. For enterprises handling sensitive customer data, financial records, or compliance-regulated workflows, this is a non-starter without proper security infrastructure.
Unconstrained Agent Actions
Without guardrails, an OpenClaw agent can read any file on the system, make unrestricted network calls, and execute arbitrary processes. A single misconfigured agent could exfiltrate sensitive data or trigger unintended actions across your production environment.
Data Privacy and Compliance Gaps
Default OpenClaw routes all inference through external APIs with no control over which data leaves your network. For enterprises under GDPR, HIPAA, SOC 2, or similar compliance frameworks, this creates unacceptable exposure. You need policy-driven routing that keeps sensitive data on-premises.
NemoClaw Architecture Stack
OpenClaw Agent Layer
Autonomous planning, multi-step execution, tool use
NVIDIA OpenShell Runtime
Isolated sandbox, policy enforcement, process control
YAML Policy Engine
Declarative rules for network egress, filesystem, and execution
Nemotron Local Inference + Privacy Router
On-device models for sensitive data, cloud routing for non-sensitive tasks
NemoClaw: the security layer your agents need
NemoClaw is our enterprise security layer for OpenClaw. It runs on NVIDIA's OpenShell sandboxed runtime and Nemotron models, wrapped in a policy engine we configure to your compliance framework, so agent autonomy does not turn into agent chaos.
OpenShell Sandboxed Execution
Every agent runs inside an isolated NVIDIA OpenShell sandbox. Administrators define strict policies for what files, tools, and network connections an agent can access - preventing unauthorized actions before they happen.
Privacy Router with On-Device Inference
NemoClaw's privacy router keeps sensitive data on your hardware using NVIDIA Nemotron models for local inference. Only non-sensitive tasks get routed to cloud models - all governed by your cost and privacy policies.
Declarative YAML Policy Engine
Define security guardrails as code. NemoClaw ships with a default sandbox policy that denies all network egress except explicitly whitelisted endpoints. You control every permission your agents have.
What We Deploy: End-to-End Enterprise OpenClaw Stack
We do not hand you documentation and walk away. AY Automate handles the full deployment lifecycle - from infrastructure audit to production rollout - so your team gets a fully operational, secured AI agent fleet.
Full-Stack Deployment
- Infrastructure Audit: Assess your compute, network, and compliance requirements before deploying a single agent.
- NemoClaw Stack Installation: Single-command deployment of OpenShell runtime, Nemotron models, and the security policy engine.
- Custom Policy Engineering: Write YAML sandbox policies tailored to your compliance framework - GDPR, HIPAA, SOC 2, or internal governance.
- Agent Workflow Design: Configure OpenClaw agents for your specific use cases - email triage, document processing, CRM automation, client onboarding, and more.
Production Hardening
- Network Egress Controls: Whitelist-only outbound connections so agents cannot call unauthorized endpoints.
- Filesystem Isolation: Restrict agent access to approved directories and data sources only.
- Inference Routing: Configure the privacy router to keep regulated data on-device while optimizing costs for non-sensitive inference.
- Monitoring & Alerting: Set up observability dashboards to track agent actions, policy violations, and performance metrics.
Enterprise Use Cases We Deploy
Email Triage & Response
Autonomous inbox processing that cuts daily email management down to a short review instead of hours of manual sorting.
Invoice & Document Processing
Agents parse PDFs, extract data, and route to accounting systems without human intervention.
CRM Automation
Auto-log sales calls, update records, and trigger follow-up sequences in Salesforce or HubSpot.
Client Onboarding Flows
A multi-step onboarding process compressed into one automated sequence instead of a manual, hours-long checklist.
DevOps & Code Automation
Autonomous CI/CD monitoring, incident triage, and infrastructure management agents.
Compliance Reporting
Agents gather data across systems and generate audit-ready compliance reports on schedule.
DIY OpenClaw vs. AY Automate enterprise deployment
You can install OpenClaw yourself in minutes. Securing it for production, with policy enforcement, privacy routing, and compliance controls, is the part that takes real infrastructure work. That is what we deliver.
Our Deployment Framework
A structured, four-phase engagement designed to get your enterprise from zero to production-grade AI agents with full security controls.
01
Discovery & Audit
Map your infrastructure, compliance requirements, existing workflows, and high-impact automation candidates.
02
Architecture & Policy
Design the NemoClaw stack, write custom YAML policies, configure OpenShell sandboxes, and plan inference routing.
03
Deploy & Integrate
Install NemoClaw, deploy agents, integrate with your CRM, ERP, and internal tools. Run controlled pilot workflows.
04
Harden & Scale
Production hardening, monitoring dashboards, team training, and ongoing SLA support as you scale your agent fleet.
Enterprise Results: AI Agents in Production
Organizations deploying OpenClaw with proper enterprise security are seeing measurable ROI within weeks, not quarters. Here is what production-grade AI agent deployment looks like.
Don't take it from us
Hear it from the operators we shipped for.
Real founders. Real cameras. No scripts. Different scales, same agent stack.
Elie Salame
COO · Adstronaut.io
Elie Salame
COO · Adstronaut.io
Deploy secure AI agents,
not a liability
Every week without enterprise guardrails is a week your AI agents are exposed. Fill out this form and we will map a custom OpenClaw and NemoClaw architecture to your compliance requirements and business workflows.
Request Your Deployment Call
FAQ
What is OpenClaw and how is it different from ChatGPT?+
OpenClaw is an open-source autonomous AI agent that runs locally on your infrastructure. Unlike ChatGPT, which is a cloud-hosted chatbot that responds to prompts, OpenClaw agents plan multi-step tasks, take real actions across your systems (CRM, email, databases), and operate continuously without human intervention.
What does NemoClaw add on top of OpenClaw?+
NemoClaw is our enterprise security stack for OpenClaw, built on NVIDIA's OpenShell sandboxed runtime. It adds a declarative YAML policy engine for controlling network egress, filesystem access, and process execution, plus a privacy router that keeps sensitive data on-device using Nemotron models for local inference.
Do we need NVIDIA GPUs to run NemoClaw?+
NemoClaw is optimized for NVIDIA hardware (RTX GPUs, DGX systems) for local inference with Nemotron models. However, the privacy router can also route non-sensitive inference to cloud providers. We will assess your existing infrastructure and recommend the most cost-effective compute strategy during our discovery phase.
How long does an enterprise deployment take?+
A typical engagement runs 4-8 weeks from discovery to production, depending on the complexity of your compliance requirements and the number of agent workflows. Pilot deployments with a single use case can be live within 2 weeks.
Is NemoClaw compliant with GDPR, HIPAA, and SOC 2?+
NemoClaw provides the infrastructure primitives needed for compliance - sandboxed execution, network egress controls, filesystem isolation, and on-device inference for sensitive data. We write custom YAML policies tailored to your specific compliance framework so that agent behavior stays within your regulatory boundaries.
Can OpenClaw agents integrate with our existing tools?+
Yes. OpenClaw agents can interact with any system that has an API or web interface - including Salesforce, HubSpot, Slack, Jira, SAP, internal databases, and custom internal tools. We configure the sandbox policies to whitelist only the endpoints your agents need.
What happens if an agent tries to do something it should not?+
NemoClaw's policy engine enforces a deny-by-default posture. Any action not explicitly whitelisted in the YAML policy - whether a network call, file access, or process execution - is blocked at the runtime level before it can execute. All violations are logged for audit.
Do you provide ongoing support after deployment?+
Yes. We offer dedicated SLA-backed support that includes policy updates as your workflows evolve, monitoring and alerting for agent actions and policy violations, incident response, and scaling support as you expand your agent fleet.