production engineering / ai agents
We run a fleet of AI agents against our own production infrastructure every day, and have done through real outages, real deploys and real 3am pages. These services put that fleet, and the engineering behind it, to work inside your environment.
Scoped and priced before anything starts. You keep everything we build.
Fixed-scope reviews that end in a written answer. Each one is useful on its own, whether or not you go further with us.
A fixed-scope review of your monitoring, alerting, on-call rotation and runbooks. We map where alerts come from, which ones nobody acts on, where the manual toil sits, and what could be automated safely today.
If you shipped an LLM feature in the last two years, you probably have unbounded spend, no per-request telemetry and no routing policy. We measure where the money actually goes, then install the controls that stop it running away.
Your board will eventually ask what your agents are permitted to do to production. This is the review that answers it: what each agent can touch, what stops it, and what you could prove after the fact.
Most GDPR and DPIA work stalls because nobody can say where the data actually lives or where it flows. We build the inventory and the lineage map, then keep them current automatically.
Implementation work with a defined deliverable. You keep everything we build, including source and documentation.
We install, configure and tune Nova against your real infrastructure, connect your existing monitoring and chat tools, and set the autonomy level each agent is allowed to operate at. You finish with agents doing useful work, not a trial account nobody logged back into.
The most valuable automation is usually specific to one company. We build agents against your systems using the same framework, trust scoring and audit ledger that runs our own production fleet, so a custom agent is governed exactly like a built-in one.
Most teams have runbooks that get followed by hand at three in the morning. We convert them into automated remediation workflows with proper guardrails, so routine cases resolve themselves and your engineers are only woken for the ones that need judgement.
Observability is usually the second largest infrastructure line after compute, and most of it is paid for data nobody queries. We run Nova alongside your incumbent, prove coverage on real incidents, then cut what you are no longer using.
Rotas, escalation paths, severity levels and service ownership, designed once and properly. Most on-call pain is a design problem rather than a tooling problem.
The work that matters once agents are already doing something: proving control, restricting access, and running the platform for other people.
Most of the cost of an audit is collecting evidence by hand, every cycle, forever. We wire continuous evidence collection into the systems that already hold the truth, so the control either passes or it does not, visibly.
Shared SSH keys and a bastion nobody has reviewed in two years is still how most teams reach production. We replace that with approval-gated, fully audited command execution across your cloud and cluster tooling.
For managed service providers and consultancies who want to run Nova for their own clients. We set up the multi-tenant side properly: isolation, policy overlays, onboarding and billing separation.
No engagement starts with a blank cheque. We agree what finished looks like before any work begins.
Thirty minutes on your stack, your incident load, and what is actually hurting. Free, and we will tell you if the answer is that you do not need us yet.
Deliverables, timeline and a fixed price. If the work does not fit one of the four services, we say so rather than stretching one to fit.
Working software and documentation, not a slide deck. Everything we build is yours to keep and run after we leave.
Every engagement starts with a scoping call. Send this and we will reply with next steps, or tell you if we are not the right fit.