How it works
Add an intelligence layer across your whole system.
Alerts get investigated the moment they fire and come back with likely causes, the evidence, and what to do next. The work you repeat every week becomes a reusable skill on a schedule.
Testimonials
Trusted by leading European enterprises.
AUTO-RCA
By the time you open your laptop, the investigation is done.
An alert fires at 03:12. This is what your on-call engineer walks into six minutes later.
ASK YOUR WHOLE STACK
The senior engineer’s knowledge, accessible to the whole team.
"Why is checkout slow?" is a complete question. The answer is rarely in logs and metrics alone, so Hyground reads traces, cloud accounts, databases, tickets, code and runbooks in the same pass, and fans out across every cluster you run.
SKILLS & SCHEDULES
Solved problems stay solved.
Solved problems become Skills: the same steps, every run, so your senior engineer’s checklist outlives your senior engineer.
Put one on a schedule: cost report Monday, CVE triage nightly.
One audited agent for the team, not five private ones holding production credentials.
standard support
A forward deployed engineer works alongside your team from install to daily use: connecting your stack, choosing your model, running the training, and building your first workflows. You are never handed a login and left to it.
Week 1
TOGETHER
Kickoff
We align on use cases and what success looks like, in numbers, before anything is installed.
Week 2
We lead
Install
One Helm chart into your own cluster. Our engineers connect your telemetry, observability data, documentation, GIT repos, and more, then point it at your LLM endpoint.
Week 3
We lead
Go-live and training
Hands-on training, then your pilot team runs it in day-to-day operations. We build your first workflows with you.
Week 6
TOGETHER
Results
Measured against the criteria you set in week one, not against impressions. Then you decide.
It doesn't stop at go-live.
Your assigned engineer stays on the account after the pilot ends for further support.
The same engineers
You keep a direct line to the people who build Hyground, for questions, config changes and anything that breaks. Not a ticket queue.
Built with you, ongoing
New adapters, data sources and workflows, side by side with your team, as your stack and the models change.
Benefits
Running and proven in critical infrastructure, in production.
These metrics come from real DACH-region deployments running critical infrastructure in production.
Root-cause analysis with Hyground
Every incident contained before it becomes a business event and every on-call engineer equipped with an expert by their side.
Data sovereignty
faster MTTR
reduced manual toil
Time saved per engineer, per week
Hyground connects to your entire system and is able to cross-reference documentation, code, observability data.
FAQ
Frequently asked questions
How is an AI SRE agent different from other AIOps platforms?
Hyground differs from traditional AIOps platforms by reading the observability stack you already run and investigates the way an engineer would. State-of-the-art LLM foundation models then form hypotheses and check them against logs, metrics, traces, deployment history and your runbooks. Traditional AIOps platforms work the other way around: by ingesting your telemetry into their own store and correlating it, then providing you a dashboard or a cluster of alerts. Hyground gives you a ranked set of likely causes, each linked to the direct evidence behind it.
Does Hyground require Kubernetes?
Yes. Hyground deploys as a Helm chart into a conformant Kubernetes cluster running 1.27 or later. AKS, EKS, GKE, K3s and on-premises distributions all work. But Kubernetes is only where Hyground runs, not the limit of what it can see. It also investigates the infrastructure around the cluster: virtual machines, cloud services, databases and anything else you connect it to.
Do we have to replace our observability stack?
No. Hyground reads the observability stack you already run, rather than replacing it with a vendor backend. We are constantly adding new adapters and already cover Kubernetes, Prometheus, Loki, Elasticsearch and the rest of the tools your team already works in. Anything that can send a webhook can also trigger an investigation, including Alertmanager, Grafana, Datadog and PagerDuty. A full list can be found on our integrations page. If something in your stack is not listed, our engineers will work with you to deliver any further connectors you need.
Which data leaves our infrastructure when Hyground runs an investigation?
Hyground does not phone home and everything stays within your perimeter. We never receive, store, or proxy your operational data, which you can verify in your own network policies and egress logs. With a self-hosted LLM model, no operational data leaves your own infrastructure. With a cloud-hosted model, your prompts will reach the provider you chose, but never Hyground.
Which LLM does Hyground use?
Hyground is model-agnostic by design. It connects to any endpoint that speaks the industry standard OpenAI-compatible API format, including self-hosted models. Not all models are created equal though, so we keep an updated list of recommended LLMs that have been internally evaluated and scored on solve rate, tool-call efficiency, token usage, speed, and factual grounding.
How does Hyground affect GDPR?
Hyground is architected for easy GDPR compliance rather than certified against it. It deploys fully within your own perimeter, so operational data stays in infrastructure you already control and there is no transfer to a Hyground-operated service and every action is logged and auditable.
How much does Hyground reduce MTTR?
Customers have seen incident resolution times fall by up to 80%, measured across live production environments. Hyground starts investigations the moment an alert fires, so by the time someone is at their laptop the correlation work is done and they get ranked likely causes with the evidence behind each. Your own figure will vary with your incident mix and how much of your stack Hyground can read.
How long does Hyground take to deploy?
Setup itself is one helm chart deploy, which can be up and running within 30 minutes. Our engineers will then work alongside your team to configure adapters, select a fitting model, and connect your preferred stack to give the agent complete context of your systems. How long that takes varies depending on your infrastructure setup, however we see most enterprises operational within two weeks of signing.
How is pricing structured?
Hyground is a flat annual license, priced by the size of your infrastructure. There are no per-seat charges, no per-investigation credits, and no usage metering, so incident volume can spike without changing your bill. You pay your model provider directly for LLM tokens, under your own contract, which keeps that cost visible and under your control rather than marked up inside a platform fee.
What support is included when onboarding?
You talk to the engineers who build Hyground. A forward deployed engineer works alongside your team through install, adapter configuration and model selection, then runs the workshops and hands-on training to get Hyground into daily use. We cover also building your first skills and automated workflows with your team, so you can operate independently into the future.
Does Hyground offer ongoing support?
You keep the same direct line to the engineering team for questions, configuration changes and anything that breaks. Support runs Monday to Friday, 8:00–18:00 CET, excluding nationwide public holidays.
