NemoClaw agents, sandboxed on your terms
NemoClaw-sandboxed OpenClaw agents deployed with NVIDIA NeMo Guardrails—age-appropriate content rails, topical confinement, and GPU-accelerated inference for your district. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
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NVIDIA NeMo Guardrails on agents you own
ibl.ai runs NemoClaw-sandboxed OpenClaw agents with NVIDIA NeMo Guardrails: programmable rails, jailbreak and injection defense, PII redaction, audit logging and network isolation. Deployed through ibl.ai, the whole stack stays in your perimeter.
| NemoClaw deployed by ibl.ai | Hosted agent platforms | |
|---|---|---|
| Where agents run | NemoClaw deployed by ibl.aiYour GPUs, your network, air-gapped if needed | Hosted agent platformsThe vendor's cloud |
| Guardrails | NemoClaw deployed by ibl.aiNeMo Guardrails you configure and audit | Hosted agent platformsVendor policy, opaque |
| Models | NemoClaw deployed by ibl.aiAny, including open-weight on your hardware | Hosted agent platformsThe vendor's models |
| Pricing | NemoClaw deployed by ibl.aiUsage or flat license; no per-seat fees | Hosted agent platformsPer seat, per month |
NemoClaw - OpenClaw AI Agents with NVIDIA NeMo Guardrails for K-12
Deploy OpenClaw AI agents with NVIDIA NeMo Guardrails—programmable safety rails that enforce age-appropriate content, prevent jailbreaks, block harmful interactions, and keep agents within approved topics.
ibl.ai combines the open-source OpenClaw agent framework with NVIDIA's NeMo Guardrails engine and NIM inference microservices, giving your district guardrailed AI agents with COPPA/CIPA/FERPA compliance and student safety built into every interaction.
What This Is
NemoClaw is NVIDIA's open-source reference stack for running agents such as OpenClaw inside OpenShell sandboxes. ibl.ai deploys NVIDIA NeMo Guardrails, a separate open-source library, alongside it, adding programmable safety rails that intercept every input and output. Where OpenClaw provides the agent runtime—orchestration, memory, skills, multi-channel deployment—NeMo Guardrails adds the student-safety envelope that K-12 environments demand.
NeMo Guardrails uses Colang, a domain-specific modeling language, to define rails declaratively. Input rails filter student messages for harmful content before they reach the LLM. Output rails enforce age-appropriate language and block unsuitable content. Topical rails confine tutoring agents to their subject area. Content safety rails provide multi-layer protection calibrated by grade band.
ibl.ai deploys NemoClaw on NVIDIA NIM inference microservices for GPU-accelerated model serving, integrates it with your district systems (PowerSchool, Clever, Google Classroom), and configures guardrail policies specific to K-12 compliance requirements. Every guardrail definition, every agent configuration, every integration adapter belongs to your district.
Why NemoClaw for K-12 Education
NVIDIA NeMo Guardrails
Enterprise Hardening by ibl.ai
We monitor both OpenClaw and NeMo Guardrails security advisories and apply patches before they reach your production environment.
Our team tracks CVEs across the full NemoClaw stack and manages updates aligned with your district's change management process.
Deploy agents with granular permissions tied to your identity provider. Student agents have age-appropriate boundaries and strict content rails.
Teacher agents access different data and have different guardrail policies than administrator agents. All enforced at the infrastructure level.
Every agent action, guardrail trigger, blocked input, filtered output, and tool invocation is logged to your logging infrastructure.
COPPA/CIPA/FERPA-compliant by design. Guardrail audit trails provide evidence for district compliance reporting and parent transparency.
Agents and NIM inference containers run in isolated network segments with strict egress controls. Student data never leaves your perimeter.
Guardrail evaluation happens within your security boundary—no student data sent to external services.
NemoClaw provides multiple independent security layers: OpenClaw's NanoClaw container isolation, NeMo Guardrails' content filtering, CIPA-compliant content moderation, and ibl.ai's enterprise hardening.
Each layer operates independently for maximum student safety.
District System Integrations
Connect NemoClaw agents to PowerSchool, Infinite Campus, Skyward, or Aeries.
Retrieval rails ensure agents only surface records appropriate for the user's role. PII redaction prevents student data from leaking into agent responses.
Integrate with Google Classroom, Canvas, Schoology, or Brightspace.
Topical rails keep tutoring agents within the assigned subject and grade level. Output rails validate responses against your adopted curriculum materials.
Deployment Options
What You Own
Engagement Model
Get Started
Free
Get started
$0per
monthNo credit card required
Get Started FreeThis includes:
- Monthly credits to try agents, renewed each month
- Build agents on any model, trained on your own documents
- Chat on web, desktop and mobile
- Documentation and community support
For one person trying things out
- Most popular
Pro
For everyday work
$15per
monthBilled monthly
Subscribe to ProEverything in Free, plus:
- More credits every month, with auto-recharge when you want it
- Voice, workflows and your tools through MCP
- Analytics, embedding and the API
- Email support
For professionals and small teams running agents every day
Max
For all-day work
$50per
monthBilled monthly
Subscribe to MaxEverything in Pro, plus:
- A much larger monthly credit allowance
- Evaluations, spend limits and monetization
- Roles and teams for access control
- Priority support and early access
For teams and departments that depend on agents
Ultra
For your largest deployments
$100per
monthBilled monthly
Subscribe to UltraEverything in Max, plus:
- The largest monthly credit allowance
- Several organizations and single sign-on
- Hand-off to human agents
- Dedicated support and hands-on onboarding
For organizations formalizing agents across many teams
- Recommended
This includes:
- Full codebase ownership under a perpetual license
- Deploy anywhere — on-prem, your VPC, air-gapped, or managed SaaS
- Start with a pilot — prove value on real data first
- Custom AI engineering — integrations, SSO, SIS, LMS, agents
- Run any LLM — Claude, GPT, Gemini, Llama; switch anytime
- SOC 2 & compliance — enterprise security with audit support
Enterprise — Own the Platform. Own the entire platform. We transfer the full source under a perpetual license and deploy it on-premise, in your cloud, or air-gapped — zero vendor lock-in, run any LLM. Start with a pilot, then scale with our engineers wiring it into your data and systems.
Self-serve prices in USD, billed monthly; change or cancel your plan anytime from Billing in the app. Enterprise is scoped with our team: a pilot from $15K, a one-time deployment, or full codebase ownership on a custom quote.
What our partners say about us
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Frequently Asked Questions
NemoClaw is NVIDIA's open-source reference stack for running agents such as OpenClaw inside OpenShell sandboxes. It controls what an agent can reach. NeMo Guardrails is a separate open-source library that controls what goes into and comes out of the model, and ibl.ai deploys the two together.
While OpenClaw provides the agent runtime—orchestration, memory, skills, multi-channel deployment—NeMo Guardrails adds input rails, output rails, topical rails, and dialog rails that intercept model traffic.
Guardrails are defined in Colang, a human-readable policy language, and evaluated within your security boundary.
NeMo Guardrails is NVIDIA's safety framework for LLM applications. It provides programmable rails written in Colang—a domain-specific modeling language.
Input rails filter user messages before they reach the LLM. Output rails validate agent responses before they reach the user. Topical rails keep conversations on-topic. Security rails block jailbreaks, prompt injection, and data exfiltration.
All rails are version-controllable and testable.
NeMo Guardrails applies multi-layer detection to every input. Input rails check for known jailbreak patterns, role-playing exploits, instruction override attacks, and novel prompt injection techniques.
When a jailbreak attempt is detected, the input is blocked before it reaches the LLM, and the event is logged for security review.
This happens in addition to OpenClaw's existing NanoClaw and IronClaw security layers.
NVIDIA NIM (NVIDIA Inference Microservices) provides GPU-accelerated containers for serving LLMs with high throughput and low latency.
NemoClaw deploys on NIM to get optimal inference performance on NVIDIA GPUs—whether on-premises, in GovCloud, or in your private cloud.
NIM containers are pre-optimized for NVIDIA hardware and support open models like Llama and Mistral.
Yes. Guardrails are defined in Colang—a readable, version-controllable policy language.
Your compliance team can define topical boundaries, PII redaction rules, content safety policies, escalation triggers, and dialog constraints. Policies can vary by agent role, user role, or deployment context.
ibl.ai configures initial policies during engagement and trains your team to maintain them.
No. All guardrail evaluation happens within your security boundary. NeMo Guardrails runs alongside your agents and NIM containers in your infrastructure—on-premises, in your private cloud, or in GovCloud.
No user data, agent interactions, or guardrail decisions are sent to NVIDIA or any external service.
Yes. All Colang guardrail definitions, agent configurations, NIM container settings, integration code, infrastructure configurations, security runbooks, and training materials are delivered to your repositories.
Your team operates independently after knowledge transfer. No ongoing dependency on ibl.ai.
Bring us a hard problem. Keep the code.
Run NemoClaw on your own terms
Start free on our cloud today, or take the whole codebase into your own infrastructure. Either way our engineers work alongside your team, and you own all the code and the data.
ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on. · SOC 2 Type II certified