Hyground vs Resolve AI

Investigate incidents without sending data to a US SaaS control plane

Both platforms run multi-agent investigations across code, infrastructure, and telemetry. Hyground installs via Helm inside your cluster under EU jurisdiction; Resolve AI runs its agents in its own cloud and reaches into your stack through a satellite gateway.

Two products, two places your data lives

Both products are vendor-neutral, multi-source investigation engines that combine observability, code, and ITSM signals. Resolve AI runs its multi-agent reasoning in its own AWS-hosted cloud and uses an on-prem satellite as a secure gateway to customer systems. Hyground runs the full investigation stack, including ingestion, knowledge base, and LLM routing, inside the customer's Kubernetes cluster.

Architecture

Where Hyground differs

Six choices that change where your prompts run, which laws apply, and which LLM does the work.

German company, EU jurisdiction

Hyground GmbH is based in Hamburg and operates under EU law. There is no parallel US data flow and no FISA 702 or CLOUD Act exposure on customer telemetry. Resolve AI is a San Francisco company with US-only HQ; its EU story is GDPR compliance, not in-region operations.

Runs entirely in your cluster

Hyground installs via Helm into your own Kubernetes cluster, including air-gapped on-premises sites. Logs, prompts, knowledge base, and investigation results never leave your perimeter. Resolve AI's satellite is a gateway only; the multi-agent engine and your investigation context run in its AWS cloud.

Bring or self-host your LLM

Connect Hyground to Azure OpenAI, Anthropic, Google Vertex, AWS Bedrock, OpenAI, or self-hosted Ollama via LiteLLM. Resolve AI runs a closed stack of vendor-controlled foundation and custom models; customers cannot choose, swap, or self-host the underlying model.

Read-only by default

Hyground is observation-first: 17 of 21 adapters are read-only by design, and write actions need explicit opt-in. Resolve AI is moving from human-in-the-loop to human-on-the-loop; it drafts PRs today and is building agents that propose kubectl commands and code fixes for approval.

Your knowledge stays sealed

Hyground ingests Confluence, Git, PDFs, and runbooks into a pgvector knowledge base that lives inside the cluster, and writes post-mortem learnings back. Resolve AI integrates Notion and indexes customer context in its cloud backend.

Built for multi-cluster from day one

A central manager plus per-cluster outposts correlates evidence across dozens of production, staging, and dev clusters from one interface, including air-gapped sites. Resolve AI's satellite is a single secure gateway, not a federated outpost mesh.

Decision

When each platform fits

Resolve AI and Hyground are different products: a US SaaS platform and an in-cluster, EU-jurisdiction investigation agent. The right fit depends on where your data is allowed to go.

Choose Hyground when

Data residency, BYO LLM, or keeping the investigation loop inside your network matter more than US brand and capital.

  • You operate in regulated, sovereign, or air-gapped environments
  • EU jurisdiction is a hard procurement requirement
  • You need to choose, swap, or self-host the LLM that runs your investigations
  • Read-only AI is a hard requirement for production access
  • You run a heterogeneous, multi-cluster Kubernetes estate across regions

Choose Resolve AI when

A US-hosted SaaS data plane is acceptable and the buying team weighs founder pedigree and reference logos over deployment topology.

  • You are a US mid-market or tier-one company with no sovereignty review
  • SOC 2 Type II is sufficient for your security posture
  • You want the team behind Splunk Observability and OpenTelemetry
  • Coinbase, Salesforce, and DoorDash references move your procurement
  • AWS Marketplace and Slack Marketplace purchasing paths match your stack

See Hyground in action

Try the sandbox, or book a demo to see sovereign AI for DevOps run on your stack.