Agentic Index

Hyground vs Resolve AI (2026)

Hyground last verified ·Resolve AI last verified

Hyground and Resolve AI both ask before they act. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Hyground is a self hosted AI SRE for European enterprises that runs from one Helm chart in the customer's cluster on the customer's own models, opens investigations from alerts and schedules, and asks before any write action, on a flat annual license priced by infrastructure size, with a public sandbox. Resolve goes on call with a team of specialized agents that triage and investigate in parallel, with actions waiting for approval by default, on credit metered contracts through sales. Choose Hyground to keep everything, models included, inside your cluster, and Resolve for a coordinated team of prebuilt agents.

On the Agentic Index production ops ranking, Hyground and Resolve AI both clear the bar: each documents all five resolution loop capabilities in full. 15 of the 38 vendors in the lane clear it. See the production ops ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Hyground and Resolve AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Hyground if

  • Everything, including the models, must run inside your own cluster.
  • You want a flat annual license with no per seat or usage metering.
  • You want to try a public sandbox first.

Choose Resolve AI if

  • A team of specialized agents should work an incident in parallel.
  • Prebuilt agents that coordinate on one incident suit your on call team.
  • Your developers need a documented API.
Feature
H
Hyground
R
Resolve AI
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
H
Hyground
R
Resolve AI

Entry price

Lowest public entry point

Rate not published. A flat annual license is priced by infrastructure size, with no per seat charges, per investigation credits or usage metering, and quoted within three business days. Contact sales. Contracts are metered in credits, and no rates are published.

Pricing confidence

How public the numbers are

Public, partial Contact only

Billing

Primary billing axis

An annual license scaled by infrastructure size, with no usage or per seat fees. Credits per unit of work, consumed by chats and tasks, investigations, incidents and triages. The credit cost of each is defined in the contract.

Variable cost

Workload / overage exposure

Low variable cost Medium variable cost

Free tier / trial

Try before you buy

No free tierTrial
No free tierTrial

Buying motion

Self-serve vs sales call

Sales call Sales call

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Hyground

  • · Agent capability

    Hyground released Omni, a major 2.0 rearchitecture that transitions the platform from a single-cluster agent model to a unified, multi-cluster AI agent.

    Source

Resolve AI

  • · Funding / partnership

    Resolve AI announced a $125 million Series A funding round led by Lightspeed Venture Partners.

    Source
  • · Agent capability

    Resolve AI officially launched its AI Production Engineer, an agentic AI system designed to automate production engineering tasks.

    Source

Hyground sells a flat annual license sized to infrastructure, and Resolve AI meters contracts in credits.

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