Hyground vs
Resolve AI
Hyground vs Resolve AI: the investigation runs where your data already is
Resolve AI is a US-hosted AI production engineer. You run a satellite in your own cluster. It proxies queries and redacts what it forwards, then sends the result to Resolve's cloud, where the agents do the reasoning. Hyground puts the agents themselves in your cluster, so the investigation happens next to the data rather than across a network boundary.
A fair starting point
No competitor comes closer to what Hyground does than Resolve AI. It investigates across code, infrastructure and telemetry as well, and stitches what it finds into causal timelines. It is careful about writes, too, and its documentation is explicit about how: the model never touches a write API, and a separate engine executes only after a human approves. It integrates first-party with the commercial observability vendors, Datadog, Splunk, Dynatrace and New Relic among them, where Hyground reaches those through custom MCP servers and keeps its first-party connectors for the open-source stack. It can also open pull requests, which Hyground cannot. Where the two part company is topology. Resolve's satellite is a proxy. The reasoning, and the summaries it keeps, sit in Resolve's cloud. Hyground arrives as a Helm install inside your own cluster, and the only traffic that leaves is the call to the model provider you picked.
Side by side
Hyground vs
Resolve AI
at a glance
What matters
Hyground
Resolve AI
Where the platform runs
Entirely in your own Kubernetes cluster, on-premises and air-gapped included.
A cloud-hosted SaaS, with a satellite you run in your cluster to reach local telemetry. The agents run in Resolve's cloud.
What leaves your network
Only calls to the model provider you choose. No telemetry, no usage tracking, no phone-home.
Queries are proxied and redacted by the satellite, then sent to Resolve's cloud. Raw telemetry is queried live and not retained; summaries and metadata are cached there.
LLM choice
Any provider through LiteLLM: a cloud model in your own tenant, a self-hosted model, or any OpenAI-compatible API.
Resolve operates the models. Their documentation describes no way to choose, swap or self-host one.
Observability integrations
First-party for the open-source stack: Prometheus, Loki, Elasticsearch, OpenSearch, Jaeger and InfluxDB. Commercial tools connect through custom MCP servers, which our engineers build with you during onboarding.
First-party for Datadog, Splunk, Dynatrace, New Relic, Grafana, Honeycomb, Chronosphere and more, queried from their cloud or proxied by the satellite.
Code changes
Hyground reads GitHub and GitLab and does not write to them. It recommends the fix; a person makes it.
Proposes a pull request with a suggested fix, created only after a human approves, then reviewed and merged as normal.
Your documentation and runbooks
Confluence Cloud and on-premises, up to 100 Git repositories, Artifactory and uploaded files, embedded in a vector store inside your cluster.
Confluence through the Atlassian connector, Slack and Teams channels, Glean, and a Resolve.md the team maintains. The index lives in Resolve's cloud.
Vendor and jurisdiction
Hyground GmbH, registered in Hamburg. It runs no control plane and has no operator path into your deployment.
Resolve AI, US-hosted. Their documentation gives one US address to allowlist for inbound access and describes no EU region.
Pricing model
Priced on infrastructure size, not seats. Quote on request.
Usage-based credits against a contract.
Why teams choose Hyground
Where Hyground differs
Decision
When each platform fits
Resolve AI and Hyground investigate the same way and diverge on where the work happens. The decision is usually made by what your security review will accept, and by which observability tools you already run.
Choose
Resolve AI
when
A US-hosted control plane passes your security review. You run commercial observability tools like Datadog or Splunk and want them supported first-party.
FAQ
Hyground vs
Resolve AI
:
common
questions
Is Hyground an alternative to Resolve AI?
Yes, and the two investigate in a similar way. What Hyground adds is location: its agents reason inside your own cluster, where Resolve's agents reason in Resolve's cloud, behind a satellite that proxies from your cluster.
Does our telemetry stay in our infrastructure?
With Hyground, yes. The investigation runs inside your cluster, and the only traffic that leaves is the call to the model provider that you choose. With a self-hosted model, no data leaves your own infrastructure at all. Resolve queries your tools through its satellite and stores the summaries and metadata that its agents reason over in Resolve's cloud.
Who operates Hyground, and where is the company based?
You operate Hyground in your own cluster. Hyground GmbH is registered in Hamburg, runs no SaaS control plane and has no operator access into your deployment, so there is no copy of your data on our side. Resolve AI is US-hosted, and its documentation describes no EU region.
Can we choose the model, or host it ourselves?
Yes. Hyground connects to any LLM provider through LiteLLM, including a cloud model in your own tenant or a model that you host yourself. Resolve operates its own models and documents no way to choose, swap or host one.
How do we get Hyground running, and what does it cost?
A forward deployed engineer works with your team from install to daily use. The engineer connects your stack, builds any connector that you are missing, and runs the training and workshops. Hyground is priced on the size of the infrastructure that it covers, not per seat, and you get a quote on request.