Hyground

Name: Hyground
Brand: Hyground

AI Native

Hyground is a self-hosted AI SRE agent that runs inside a customer's Kubernetes environment to automate incident investigation, correlate signals across logs/metrics/events/configurations/tickets/alerts, produce evidence-linked findings with confidence indicators, and recommend next actions.

Est 2025|Valuation $17.6M|Raised $3.5M|6 Ref Customers

LinkedIn 779|Website|FTEs 13

MarketsIncident Management & On-Call Incident Management & On-Call

01Competitive Landscape

| Aspect | Hyground | incident.io | PagerDuty | |--------|----------|-------------|----------| | Starting Price | Not publicly listed; annual license based on infrastructure size | Free tier available; published per-seat pricing available from the vendor + optional on-call add-ons; Enterprise custom | Pricing varies by plan; vendor materials provide plan structure and reference AIOps pricing without detailed public list | | Recommended Use Case | Organizations requiring self-hosted AI-driven investigation and RCA across multiple tools; Kubernetes-centric operations in regulated environments | Teams that prioritize modern incident management workflows (Slack/Teams-native), post-incident processes, and transparent per-seat pricing | Organizations seeking a mature on-call and incident response ecosystem with broad integrations; commonly used in enterprise environments | | Key Strength | Emphasizes self-hosted deployment and multi-tool correlation; audit/traceability features are emphasized in vendor materials | Incident workflow UX, communications, status pages, and transparent pricing | Mature alerting/on-call, enterprise-grade integrations, and operational features | | Key Weakness | Requires Kubernetes; pricing is not publicly listed; limited independent review volume; certification completion unclear | Seat-based pricing can scale with organization size and may require separate deep-RCA tooling | Common community complaints about cost and complexity; may be heavyweight for some teams |

Narrative analysis

- Hyground vs incident.io / Rootly - incident.io and Rootly focus on incident management workflows. They may be stronger where primary needs are coordination, communications, postmortems, and governance around incident response. - Hyground emphasizes cross-tool investigation and correlation; many teams may view it as complementary to an incident management platform rather than a replacement. - Hyground vs Datadog Bits AI SRE - Hyground's differentiators include self-hosted deployment and multi-tool correlation. Datadog's advantage is native integration for Datadog-centric customers, which can reduce integration work. - The vendor publishes comparison materials and prospective customers should validate comparative claims in pilot evaluations. - Hyground vs Resolve.ai / Cleric / other AI SRE startups - The AI SRE category has active community skepticism regarding overpromising. Buyers should prioritize evaluation rigor around grounding, hallucination mitigation, evidence chains, audit logs, and safe-by-default actions.

01Competitive Landscape

Aspect	Hyground	incident.io	PagerDuty
Starting Price	Not publicly listed; annual license based on infrastructure size	Free tier available; published per-seat pricing available from the vendor + optional on-call add-ons; Enterprise custom	Pricing varies by plan; vendor materials provide plan structure and reference AIOps pricing without detailed public list
Recommended Use Case	Organizations requiring self-hosted AI-driven investigation and RCA across multiple tools; Kubernetes-centric operations in regulated environments	Teams that prioritize modern incident management workflows (Slack/Teams-native), post-incident processes, and transparent per-seat pricing	Organizations seeking a mature on-call and incident response ecosystem with broad integrations; commonly used in enterprise environments
Key Strength	Emphasizes self-hosted deployment and multi-tool correlation; audit/traceability features are emphasized in vendor materials	Incident workflow UX, communications, status pages, and transparent pricing	Mature alerting/on-call, enterprise-grade integrations, and operational features
Key Weakness	Requires Kubernetes; pricing is not publicly listed; limited independent review volume; certification completion unclear	Seat-based pricing can scale with organization size and may require separate deep-RCA tooling	Common community complaints about cost and complexity; may be heavyweight for some teams

Narrative analysis

Hyground vs incident.io / Rootly
- incident.io and Rootly focus on incident management workflows. They may be stronger where primary needs are coordination, communications, postmortems, and governance around incident response.
- Hyground emphasizes cross-tool investigation and correlation; many teams may view it as complementary to an incident management platform rather than a replacement.
Hyground vs Datadog Bits AI SRE
- Hyground's differentiators include self-hosted deployment and multi-tool correlation. Datadog's advantage is native integration for Datadog-centric customers, which can reduce integration work.
- The vendor publishes comparison materials and prospective customers should validate comparative claims in pilot evaluations.
Hyground vs Resolve.ai / Cleric / other AI SRE startups
- The AI SRE category has active community skepticism regarding overpromising. Buyers should prioritize evaluation rigor around grounding, hallucination mitigation, evidence chains, audit logs, and safe-by-default actions.