NemoClaw Solved Containment. The SAISA Solves the Contract.
NVIDIA NemoClaw provides sandboxed execution. The SAISA provides the legal wrapper. Complementary layers for enterprise AI.
NVIDIA NemoClaw is a container-based agent execution environment with hardware-enforced containment. It solves the "what can this agent do?" problem at the infrastructure level. But containment is not governance. The SAISA solves the contract problem: acceptance criteria, liability, payment, and disputes.
Complementary Layers
NemoClaw and SAISA operate at different layers of the stack:
Layer Stack:
5. SAISA (Contract Layer)
- Acceptance criteria
- Liability allocation
- IP ownership
- Dispute resolution
- Payment terms
4. Quality Layer
- Cross-model review
- Fact checking
- Readiness certification
3. Orchestration Layer
- State machine
- Event handling
- Progress tracking
2. Containment Layer <- NemoClaw
- Hardware isolation
- Resource limits
- Network restrictions
- Tool permissions
1. Compute Layer
- GPU/CPU
- Memory
- StorageNemoClaw ensures the agent cannot escape its sandbox. The SAISA ensures the engagement has clear terms. Both are necessary for enterprise deployment.
What NemoClaw Provides
NVIDIA NemoClaw offers hardware-enforced containment:
- Container isolation - Each agent runs in its own container with no shared state
- Resource limits - CPU, memory, GPU allocation enforced at hardware level
- Network restrictions - Egress controlled via container networking
- Filesystem isolation - Agent sees only its designated filesystem
- Tool sandboxing - Code execution in isolated environments
What NemoClaw Does Not Provide
Containment is not a complete solution:
- No acceptance criteria - How do you know the work is done correctly?
- No liability framework - Who is responsible when something goes wrong?
- No payment terms - When does the developer get paid?
- No dispute resolution - What happens when buyer and developer disagree?
- No IP assignment - Who owns the output?
Integration Architecture
A NemoClaw + SAISA integration:
{
"paper": {
"id": "paper_nemoclaw_001",
"runtime": {
"provider": "nvidia_nemoclaw",
"version": "1.0",
"containerConfig": {
"image": "agent-security-audit:v2.1",
"gpuCount": 1,
"memoryMB": 8192,
"timeoutSeconds": 3600
}
},
"executionManifest": {
"maxCostCents": 500000,
"timelineDays": 3,
"completionCriteria": [
"All OWASP Top 10 categories analyzed",
"CVSS scores for each finding",
"Remediation roadmap included"
],
"permissionScopes": [
"read_codebase",
"execute_static_analysis",
"write_report"
],
"allowedEgressUrls": [] // Zero egress - fully contained
}
}
}Mapping NemoClaw Capabilities to SAISA Terms
The Execution Manifest references NemoClaw capabilities:
| SAISA Term | NemoClaw Implementation |
|---|---|
| maxCostCents | GPU-hours * rate + inference costs |
| permissionScopes | Container capability flags |
| allowedEgressUrls | Container network policy |
| timelineDays | Container timeout + queue time |
| completionCriteria | Exit conditions + output validation |
Enterprise Value Proposition
For enterprise buyers, the combination provides:
NemoClaw Provides
- - Hardware-level isolation
- - Resource enforcement
- - Network containment
- - Execution logging
SAISA Provides
- - Acceptance criteria
- - Liability caps
- - Dispute resolution
- - Compliance artifacts
Neither alone is sufficient. Containment without contracts leaves disputes unresolved. Contracts without containment leave security gaps.
Implementation Example
Deploying a security audit agent on NemoClaw with SAISA governance:
// 1. Compile Paper with NemoClaw runtime
const paper = await exact.paper.compile({
agentId: 'security-audit-v2',
runtime: {
provider: 'nvidia_nemoclaw',
containerImage: 'audit-agent:latest'
},
acceptanceCriteria: [
'OWASP Top 10 coverage',
'CVSS scores included',
'Remediation roadmap'
],
budgetCeilingCents: 500000
})
// 2. NemoClaw executes in isolation
// - Container spins up
// - Agent runs with enforced limits
// - Output captured
// 3. SAISA governs the outcome
// - Quality review runs
// - Readiness certificate issued
// - Buyer reviews and accepts/disputes
// - Settlement or Expert DeterminationKey Takeaways
- -NemoClaw provides hardware-enforced containment; SAISA provides the contract layer
- -Containment alone does not address acceptance, liability, or disputes
- -The Execution Manifest maps to NemoClaw container configuration
- -Enterprise deployment requires both: containment AND governance
Ready to standardize your AI agent contracts?
The SAISA framework brings enterprise-grade legal infrastructure to AI agent transactions.