AIOps-as-a-Service for Production AI
From monitoring and retraining to governance and cost optimisation, we operate the AI systems your business depends on.
AI doesn’t scale without an operating model.
Infrastructure, compliance and operations must be designed together. Otherwise, successful pilots rarely become production systems.
what we do
We close the gap between your initial automation success and enterprise-scale operations that actually deliver.
Advisory
We help you pick the right deployment environment, billing model and operating approach for your workload, your cost structure and your regulators. Independent of any vendor.
Platform
We deploy and operate the full stack: MLOps, LLMOps, classical AIOps, agentic operations. Observability, evaluation, guardrails, gateway and agents, all running alongside your team.
Infrastructure
Our NVIDIA H200 sovereign infrastructure handles sensitive development, testing and staging. For production, we design, size and implement on the environment you choose.
what you get
Our Service Pillars
01
Sovereign AI Deployment
Build inside our perimeter. Deploy inside yours.
04
Root-Cause AIOps
Root cause, not correlation in a chatbot wrapper.
07
Privacy-Preserving AI
Train on data you cannot see. Deploy where the regulator allows.
02
Compliance Automation
Annex IV, DORA, Article 27, SDAIA, PDPL. Documentation that writes itself, from the pipelines that built the model.
05
LLMOps & Observability
If you cannot evaluate it, you should not ship it.
03
Agentic Operations
Agents that take action, with the rails a regulated business needs.
06
AI Supply Chain Security
Know every model you run. Verify before you trust.
From ISO to AWS, we got it
Quality & reliability
We pride ourselves on delivering top-tier quality and reliability, backed by our AWS Select Tier partnership and recognition by Clutch as one of the top 15 companies in our field. Our commitment is reinforced through ISO-certified standards in quality, security, and privacy – ensuring our clients receive services that are consistently secure, compliant, and dependable.
Why Invest in Q AIOps as a Service?
01.
One team, full stack.
LOps, LLMOps, classical AIOps and agentic operations under one operating model. No fragmented ownership, no disconnected tooling, no handoffs between vendors.
02.
Sovereign by design, cloud when it fits.
Our NVIDIA H200 capacity gives you a secure place to build when sensitive data cannot touch a public cloud. For production, we build on the environment that fits your rules.
03.
Certified by independent audit.
ISO 9001, ISO/IEC 27001 and ISO/IEC 27701 certified management systems. A recognised starting point for your procurement and security teams.
04.
Regulator-ready documentation.
Annex IV, DORA Register of Information, Article 27 FRIA templates, ISO 42001 readiness. We produce the artefacts an auditor will actually ask for.
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FAQ
What is included in AIOps-as-a-Service services?
The service typically includes production monitoring, alerting, model retraining, governance workflows, incident response, performance optimisation, cost reporting, and ongoing operational support tailored to your AI environment.
Can AIOps-as-a-Service work for both new and existing products?
Yes. It can support newly launched AI solutions from day one or take over the operation and optimisation of AI systems already running in production, regardless of whether they were built by Q or another team.
How is AIOps-as-a-Service different from traditional DevOps?
While DevOps focuses on application infrastructure and deployment, AIOps-as-a-Service manages the ongoing operation of AI systems—including model performance, data quality, retraining, governance, and AI-specific monitoring—to keep production AI reliable over time.