Hyground

Hyground GmbH (Hamburg, Germany) builds a sovereign, self-hosted AI SRE (Site Reliability Engineering) agent for European enterprises. The multi-agent platform deploys as a Kubernetes-native Helm chart inside the customer's own perimeter and correlates Kubernetes, observability (Prometheus, Loki, Elasticsearch), cloud (AWS/Azure/GCP), CI/CD, and ticketing data to produce evidence-backed root cause analysis, autonomous incident response, and scheduled operations work such as CVE blast-radius mapping, RBAC drift audits, cluster right-sizing, and cost triage. It runs read-only by default, is bring-your-own-model (Azure OpenAI, Anthropic Claude, Gemini, Bedrock, Ollama), and keeps all data in-cluster with no external egress, targeting GDPR, BaFin, DORA, and NIS2 compliance requirements. Backed by partech; raised a EUR 3M pre-seed round.

Hyground is profiled on the APIs.io network. Tagged areas include Company, Ai Ml, Site Reliability Engineering, DevOps, and Kubernetes.

Hyground’s developer surface includes documentation, engineering blog, pricing, sandbox, support, YouTube channel, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

20.6/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

0 APIs

CompanyAi MlSite Reliability EngineeringDevOpsKubernetesIncident ResponseObservabilityAIOpsComplianceEurope

Kin Score

Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0

Composite quality — 20.6/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Access Clarity 7.9 / 20

Operational Transparency 0.0 / 13

Contract Governance 2.2 / 12

Discoverability 5.7 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/hyground: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

Sandbox

Sandbox

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

Compliance

Compliance

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Source (apis.yml)

aid: hyground
name: Hyground
description: Hyground GmbH (Hamburg, Germany) builds a sovereign, self-hosted AI SRE (Site Reliability Engineering) agent
  for European enterprises. The multi-agent platform deploys as a Kubernetes-native Helm chart inside the customer's own perimeter
  and correlates Kubernetes, observability (Prometheus, Loki, Elasticsearch), cloud (AWS/Azure/GCP), CI/CD, and ticketing
  data to produce evidence-backed root cause analysis, autonomous incident response, and scheduled operations work such as
  CVE blast-radius mapping, RBAC drift audits, cluster right-sizing, and cost triage. It runs read-only by default, is bring-your-own-model
  (Azure OpenAI, Anthropic Claude, Gemini, Bedrock, Ollama), and keeps all data in-cluster with no external egress, targeting
  GDPR, BaFin, DORA, and NIS2 compliance requirements. Backed by partech; raised a EUR 3M pre-seed round.
url: https://raw.githubusercontent.com/api-evangelist/hyground/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- partech
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://hyground.ai/uploads/hyground_og_img_f5c8198dfa.webp
tags:
- Company
- Ai Ml
- Site Reliability Engineering
- DevOps
- Kubernetes
- Incident Response
- Observability
- AIOps
- Compliance
- Europe
tags_raw:
- Company
- Ai/Ml
- Site Reliability Engineering
- DevOps
- Kubernetes
- Incident Response
- Observability
- AIOps
- Compliance
- Europe
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://hyground.ai/
- type: Documentation
  url: https://hyground.ai/product/overview
- type: Blog
  url: https://hyground.ai/blog
- type: Pricing
  url: https://hyground.ai/pricing
- type: Sandbox
  url: https://hyground.ai/try-hyground-sandbox
- type: Support
  url: https://hyground.ai/contact
- type: TermsOfService
  url: https://hyground.ai/terms-of-use
- type: PrivacyPolicy
  url: https://hyground.ai/privacy-policy
- type: Compliance
  url: https://hyground.ai/product/security
- type: Conformance
  url: conformance/hyground-conformance.yml
- type: DomainSecurity
  url: security/hyground-domain-security.yml
- type: LLMsTxt
  url: llms/hyground-llms.txt
- type: LinkedIn
  url: https://www.linkedin.com/company/hyground
- type: YouTube
  url: https://www.youtube.com/@Hyground-GmbH
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence