Customertimes NemoClaw deploys OpenClaw AI agents secured by NVIDIA NeMo Guardrails. Programmable safety rails, compliance enforcement, and GPU-accelerated inference for commercial operations, regulatory affairs, and the pharmaceutical value chain.
Full ownership of agents, models, and guardrail configs. Zero vendor lock-in.
OpenAI, Anthropic, Llama, Mistral, or your fine-tuned models.
Run open models on your own NVIDIA GPUs. Dramatically cheaper at scale.
Pre-built accelerators for sales, regulatory, supply chain, and commercial intelligence.
NemoClaw combines the OpenClaw AI agent runtime with NVIDIA NeMo Guardrails into a single, production-ready platform for life sciences. Programmable safety rails intercept every input and output. Your regulatory affairs and compliance teams define guardrail rules in Colang, NVIDIA's human-readable policy language, without touching agent code. Every agent action across your commercial and regulatory operations is filtered, validated, and auditable.
NemoClaw agents integrate with the systems your commercial and regulatory teams already depend on. No rip-and-replace required.
Beyond NeMo Guardrails, every NemoClaw deployment includes Customertimes enterprise hardening built for the compliance demands of regulated life sciences and consumer health.
Continuous vulnerability scanning, automated patching, and proactive CVE remediation across the entire agent stack, from container base images to model dependencies.
Granular permissions mapped to your organizational structure: sales reps, MSLs, regulatory managers, commercial directors, pharmacovigilance officers. Each role sees and controls only what is authorized.
FDA 21 CFR Part 11 compliant audit trails. Every agent interaction, every guardrail trigger, every override: logged, timestamped, and tamper-evident. ISO 13485 and GMP ready.
Production data never leaves your perimeter. Air-gapped deployment options for clinical trial data and patient-sensitive environments. Full network segmentation between commercial, clinical, and corporate zones.
Full flexibility, from air-gapped on-premises to hybrid cloud. Your production data stays under your control.
Full deployment on your corporate or data center infrastructure. Ideal for environments with strict patient data residency requirements. Zero external data transmission.
Deploy in your own AWS, Azure, or GCP account. Customertimes configures and manages the stack within your VPC. Full data sovereignty with cloud elasticity.
Baseline inference on local NVIDIA GPUs for low-latency commercial operations. Burst to cloud for peak demand, regulatory reporting cycles, and multi-market rollouts.
Consumer health and pharma demand regulatory rigor, data integrity, and patient safety. NemoClaw ensures your AI agents operate within strict compliance and quality boundaries.
Regulatory affairs and quality managers can review and modify safety policies in Colang without touching agent code. Define what agents can and cannot do in language your compliance team understands.
Multi-layer detection catches both known manipulation patterns and novel attack vectors. Critical when agents interact with CRM systems, HCP portals, or commercial platforms accessible to sales reps and medical science liaisons.
Automatic detection and redaction of personally identifiable information, patient data, clinical trial information, HCP interactions, and pricing terms. GxP, HIPAA, and GDPR compliance by design.
Validates agent responses against your institutional knowledge base: SOPs, product monographs, clinical protocols, and regulatory submissions. No fabricated efficacy claims, no invented dosing guidelines, no hallucinated regulatory references.
Run open models like Llama or Mistral on your own NVIDIA GPUs, on-premises or in your private cloud. Full control over latency, throughput, and cost at enterprise scale.
Every agent interaction logged with full context: who asked, what the agent generated, which rails fired, what was blocked. Ready for FDA 21 CFR Part 11, EMA compliance, GxP, and pharmacovigilance audit.
Every agent interaction passes through a configurable pipeline of safety rails, each defined in Colang and version-controlled alongside your production code.
Filter and validate all incoming requests before they reach the LLM. Block off-topic queries, detect manipulation, enforce role-based access.
Validate every agent response before delivery. Check factual grounding, filter sensitive data, ensure alignment with approved SOPs.
Constrain agents to their operational domain. A maintenance agent stays on maintenance. A quality agent stays on quality. No scope creep.
Control conversational flows programmatically. Define mandatory confirmation steps before promotional claims, HCP communications, adverse event escalations.
Secure your RAG pipeline. Validate access permissions on retrieved documents, enforce classification boundaries, prevent data cross-contamination.
Guardrail policies are written in Colang, NVIDIA's human-readable, domain-specific language. Your quality and compliance teams can review, modify, and approve rail definitions without developer involvement. Policies are version-controlled, diff-able, and auditable alongside production code.
Every NemoClaw engagement delivers production assets that belong to you. No black boxes, no dependency on Customertimes to operate.
All Colang rail configurations: input, output, topical, dialog, and retrieval. Version-controlled and documented.
Complete agent definitions, prompt templates, tool bindings, and orchestration logic for every deployed agent.
Production-ready NVIDIA NIM container images, tested and validated for your hardware and model configuration.
All connectors, adapters, and API bridges to your CRM, ERP, regulatory, quality, and supply chain systems.
Your institutional knowledge layer: SOPs, specs, procedures. Structured and queryable by agents and humans.
Grafana/Prometheus dashboards for agent performance, guardrail activation rates, latency, and error tracking.
Operational runbooks, troubleshooting guides, and architecture documentation for your ops team.
Hands-on training for your engineers on Colang policy authoring, agent management, and guardrail tuning.
A structured, phased approach designed for life sciences enterprises that value regulatory precision and patient safety.
Audit current systems, map data flows, identify compliance requirements (GxP, FDA, EMA, HIPAA). Define guardrail policies in Colang. Catalog institutional knowledge for ContextCT ingestion.
Deploy NeMo Guardrails infrastructure. Configure all five rail layers. Integrate with your CRM, ERP, regulatory, and quality systems. Build the ContextCT knowledge foundation with your SOPs, product monographs, and compliance procedures.
Build and deploy production agents. Red-team test every guardrail. Validate against your compliance requirements. Iterate with your quality and operations teams until every edge case is covered.
Go-live with monitored rollout. Train your team on Colang policy authoring and agent management. Hand over all assets, dashboards, and runbooks. 30-day hypercare support included.
Three ways to begin, from a free architecture conversation to a full enterprise rollout.
Free 30-minute session with our life sciences AI architects. Map your systems, discuss regulatory needs, get an honest assessment of where AI agents fit.
4-6 week POC on a real use case: sales call prep assistant, regulatory submission copilot, or pharmacovigilance agent. Full NeMo Guardrails protection from day one.
Full NemoClaw rollout across your commercial and regulatory operations. Multi-agent orchestration, enterprise-wide integrations, and complete ownership transfer.