Managed Runtime Assurance
for AI-era software.

Software is easier to build. Production is harder to operate safely.

AI-assisted development, agentic workflows and faster release cycles increase the amount of software reaching production. The bottleneck is no longer only building the thing. It is keeping the runtime observable, secure, resilient, cost-controlled and evidence-ready once customers depend on it.

What Managed Runtime Assurance means

Customers are not buying a tool, a ticket queue or a traditional support wrapper. They are buying one managed outcome: production stays healthy, incidents are handled, controls are enforced and evidence is ready when customers, auditors or regulators ask for it.

We operate the stack. You own the product.

We never touch your app, your model or your business logic. That boundary is what makes us trustworthy: we have no agenda over your product, so we can stand behind whether the operating layer is sound.

The operating layer behind mission-critical software

Critical Support is the flagship service.

Critical Support delivers Managed Runtime Assurance today for AWS and Azure environments. The work is monthly improvement engineering: finding and fixing latent defects across reliability, security, performance, cost, automation and governance, so your platform becomes safer to run over time.

Beneath it sits 24×7 incident cover with a contractual 15-minute response for SEV-1 and SEV-2, for the cases prevention does not catch. It is more than a ticket queue: Datadog-powered observability, incident response, runbooks, escalation, security operations and evidence, run as one service.

Critical Cloud reduces mean time to resolve incidents by 40 to 60 per cent.

Datadog is the operating substrate. Managed Runtime Assurance is the business.

Datadog provides telemetry, dashboards, traces, logs, alerts, security signals, incident workflows, cost visibility and AI observability capabilities. Critical Cloud turns those signals into an accountable operating model.

Runtime Evidence turns operations into assurance.

Good operations should produce evidence, and the evidence has real names: the DPA already embedded in the MSA, the certificates, the retention position, the security questionnaire answers, the incident record an auditor asks to see. Critical Cloud helps maintain incident records, operational reports, access governance, recovery evidence, change context and SLO reporting so you can show how your runtime is controlled.

We operate and evidence the runtime controls that support your compliance obligations.

AI Runtime Operations extends the model.

AI workloads create new runtime questions: what happened, what did it cost, which system was involved, what data was touched, what changed and who approved the action. AI Runtime Operations brings observability, governance, cost control and human accountability to those production workflows.

Agents own the analysis. Humans own the outcome.

Built for the people accountable for mission-critical production.

One community, not a market segment: the people who carry production, running on Datadog or heading there. Sector matters less than shape. A fintech with a hundred engineers reads as regulated and behaves like a software company; what they share is the accountability.

• →Production is mission-critical: customers, clinicians or regulators notice when it breaks
• →The engineering function is thin relative to how much the business depends on the technology
• →Enough engineers to build the product, not enough to also carry 24×7 operations, security, cost and evidence