Pricing
Pricing that scales with your engineering org, not against it.
A two-person team running one Kubernetes cluster shouldn't pay the same as an enterprise coordinating thousands of teams across thousands of repositories and cloud accounts — and here, they don't. Every tier is built around the two things that actually define your footprint: connected environments (every repo, Jira/ServiceNow/ Linear/Azure DevOps project, AWS/Azure/GCP account, and Kubernetes cluster you bring in) and teams (each running its own board, repos, and connectors, managed independently — see Members, roles, and groups). Start where you are. Grow without renegotiating.
Starter
One team, a handful of repos and cloud connections
from £299/mo
Up to 10 connected environments · 1 team
- ·Up to 10 members
- ·Jira, GitHub or GitLab, Confluence
- ·Unlimited ticket-fix attempts
- ·No setup fee
Growth
Several teams, each with their own board and repos
from £999/mo
Up to 50 connected environments · 10 teams
- ·Everything in Starter
- ·Unlimited members
- ·Team-scoped visibility — each team sees and manages only its own boards, repos, and connectors
- ·Multiple connectors per type, routed by team
Scale
Dozens of teams, hundreds of repos and cloud accounts
from £6,500/mo
Up to 250 connected environments · 50 teams
- ·Everything in Growth
- ·SSO enforcement
- ·Priority support
- ·Audit log and API keys for your own tooling
Enterprise
Hundreds of teams, thousands of repos and cloud accounts
from £18,000/mo
Up to 1,000 connected environments · 200 teams, then metered
- ·Everything in Scale
- ·Beyond the included scale: +£15 per additional connected environment/mo, +£45 per additional team/mo
- ·Dedicated onboarding
- ·Guided setup for a private-hosted AI endpoint
Running thousands of clusters across thousands of teams?
20,000 Kubernetes clusters, 5,000 independently-managed teams — real Noviqent DevOps customers operate at exactly this scale. Past roughly 1,000 connected environments, per-unit pricing stops making sense and we negotiate a volume rate instead, with dedicated onboarding and infrastructure sized to you.
Where this lands against the alternative
A large engineering org typically pays for paging/alerting, a separate incident process, and the developer, DevOps, and SRE time to actually action every ticket — commonly £15,000–£30,000/month once you add it all up for a sizeable estate, before headcount. Noviqent DevOps sits in that same range at comparable scale — but where that spend buys you alerting plus the people to act on it, this replaces the manual ticket-actioning work itself. And it stays well below the seven-figure-per-year contracts the dedicated AI SRE agents in this market command for comparable scale.
Paging/alerting tools
Tell a human something's wrong, faster. Someone on your team still reads the ticket, writes the fix, and runs the remediation by hand.
Standalone AI SRE agents
Diagnose an incident, sometimes propose a fix — but stop at code and infrastructure. Still a separate tool from wherever tickets actually live.
Noviqent DevOps
Reads the ticket, writes the real code fix, opens the draft PR, and — with your approval — restarts, scales, or rolls back the infrastructure behind it. One platform doing the developer, DevOps, and SRE actioning work your team currently does by hand.
AI reasoning, metered separately
Every tier includes the platform itself. What each ticket-fix attempt's actual AI reasoning costs is metered on top, per token used — a quiet month with no triggered tickets pays nothing extra. Current usage and estimated cost are always visible in your own dashboard, not just at invoice time.
Self-hosted
Run the entire platform on your own infrastructure instead — billed as a flat license outside these tiers entirely. Nothing leaves your network.
Bring your own AI provider
Connect Claude, GPT, Gemini, Grok, or a private-hosted endpoint you already pay for separately — this pricing covers Noviqent DevOps's own pipeline, not your AI vendor's own token costs on top of it.