LLMOps & AI Governance
Your LLM Apps Are in Production. Now Keep Them Reliable.
Hallucinations, prompt injection, cost blowups, compliance gaps — these aren't one-time problems. They're operational. We make your AI applications measurably reliable, secure, cost-controlled, and audit-ready — as an ongoing subscription.
What You Get
Six standardized modules that cover the full lifecycle of LLM operations — from instrumentation to audit exports.
Telemetry & Observability
Standardized tracing of LLM and agent events — latency, errors, token costs, retrieval quality. Full visibility into what your AI systems are actually doing.
Eval Harness & Regression Testing
Automated evaluations with golden sets, regression runs, safety checks, and drift detection. Release gates that prevent broken models from reaching production.
Security Baseline (LLM AppSec)
Threat modeling and guardrails against prompt injection, sensitive data disclosure, and tool abuse. OWASP LLM Top 10 coverage built into your eval pipeline.
Cost Control & Budget Guardrails
Token budgets, rate limits, circuit breakers, and cost anomaly alerts. Prevent runaway costs from agent loops and retry storms.
Governance & Audit Exports
AI registry, prompt/policy versioning, change logs, approval flows, and standardized audit packs. EU AI Act evidence ready on demand.
AI Literacy Training
Role-specific training for deployers and operators. Mandatory under EU AI Act since February 2025 — we handle the curriculum, quizzes, and attestations.
Plans That Scale With Your AI Deployment
Starter
For teams with 1–2 LLM apps entering production
- Up to 2 apps, 2 environments
- Standard dashboards & alerts
- Monthly reliability report
- Golden set v1 + monthly regression
- Registry + change log
- 1 standard AI literacy training
- P1 response: next business day
Growth
For organizations scaling AI across multiple teams
- Up to 8 apps, 4 environments
- SSO integration
- Weekly scorecards + SLOs per app
- Weekly regression + release gates
- Approval flow + audit pack v1
- 2 role-specific trainings + attestation
- P1 response: 8 hours
Enterprise
For regulated enterprises with complex AI deployments
- 8–30+ apps, multiple business units
- Data residency & single-tenant option
- Error budgets + SLO reviews / QBR
- Per-release gates + adversarial suites
- Full evidence pack + data residency controls
- Train-the-trainer + annual refresh cycles
- P1 response: 1 hour (24/7 optional)
Built for EU & US Compliance
Whether you need AI Act readiness in Europe or NIST alignment in the US, our governance modules cover both regulatory landscapes.
European Union
- AI Act: AI literacy mandatory since Feb 2025
- Governance & GPAI obligations since Aug 2025
- Full applicability from Aug 2026
- GDPR: DPIA-ready processes, data minimization
United States
- FTC enforcement against deceptive AI claims
- NIST AI RMF 1.0 alignment
- Risk management documentation
- Consumer protection compliance
From Pilot to Production in 12 Weeks
Discovery & Scope
Map your LLM apps, data classes, and risk profile
Instrumentation
Deploy telemetry, dashboards, and first alerts within 2 weeks
Controls & Evals
Golden sets, regression pipelines, security baselines, cost guardrails
Production & SLA
Go live with incident response, audit exports, and ongoing governance
Enterprise AI Governance Across Industries
Banking & Insurance
AI Act compliance, model risk management, and audit trails for AI-driven underwriting, fraud detection, and claims processing systems.
Pharma & Life Sciences
Governance for AI-assisted drug discovery, clinical trial analysis, and adverse event monitoring systems with full regulatory traceability.
Automotive & Manufacturing
LLMOps for AI copilots in engineering, quality control, and supply chain optimization applications across production environments.
Government & Public Sector
Transparency, bias monitoring, and regulatory reporting for citizen-facing AI services with EU AI Act and NIST alignment.
Common Questions About LLMOps & AI Governance
Do we need to change our LLM provider or infrastructure?
No. Our platform is provider-agnostic and works with OpenAI, Anthropic, Google, Azure, and self-hosted models. We instrument and govern what you already have.
How quickly can we be EU AI Act compliant?
AI literacy training can be deployed within 2 weeks. Full governance infrastructure — registry, audit exports, eval pipelines — is production-ready within 12 weeks.
What is the difference between LLMOps and traditional MLOps?
LLMOps addresses challenges unique to large language models: prompt management, retrieval quality, hallucination detection, token cost control, and conversational safety. Traditional MLOps tools do not cover these.
Can we start with one app and expand later?
Yes. Our Starter tier covers 1–2 apps. You can scale to Growth or Enterprise as your AI deployment grows — without re-platforming.
Ready to Make Your AI Systems Production-Grade?
Start with a free audit of your LLM deployment. We'll identify gaps in reliability, security, and compliance — no commitment required.
Discuss Your Challenge