Agentic Index
Avesha vs Hyground (2026)
Two of the deepest documented cards in the lane, 10.5 and 11.5 of 14, and both run in your own environment.
Hyground is data sovereign and self hosted with bring your own model on your own Kubernetes, licensed annually by infrastructure size with no usage fees, with human governed actions. Avesha runs a coordinated agent swarm across Kubernetes and cloud with root cause analysis, auto remediation and GPU orchestration, enterprise priced. Hyground governs every action and prices predictably; Avesha remediates automatically and reaches GPU scheduling.
Choose Avesha if
- GPU orchestration alongside reliability is a real part of your estate.
- Auto remediation without a governance step is the labour saving you want.
- Cloud alongside Kubernetes is the scope, not Kubernetes alone.
Choose Hyground if
- Documented coverage is broader and human governed actions is your requirement.
- No usage fees means the bill does not spike in your worst months.
- Bring your own model with full data sovereignty is a hard constraint.
| At a glance | Avesha | Hyground |
|---|---|---|
| Category | SRE / DevOps agent | SRE / DevOps agent |
| Entry price | Enterprise pricing; not publicly listed | Annual license priced by the size of your infrastructure, with no usage fees, per seat charges or costs; the specific rate is not published. |
| Free / trial | Credentials are provisioned through Avesha; no public self serve tier. | Self serve sandbox plus a scheduled demo |
| Pricing confidence | contact only | public partial |
| Feature | A Avesha |
H Hyground |
|---|---|---|
| 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. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
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. |
Full / Explicit | Partial |
| 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. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Full / Explicit |
| 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. |
No / Not documented | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Avesha |
H Hyground |
|---|---|---|
|
Entry price Lowest public entry point |
Enterprise pricing; not publicly listed | Annual license priced by the size of your infrastructure, with no usage fees, per seat charges or costs; the specific rate is not published. |
|
Pricing confidence How public the numbers are |
Contact only | Public — partial |
|
Billing Primary billing axis |
Enterprise engagements scoped to environment size and workloads; self hosted install with provisioned credentials. | annual license scaled by infrastructure size, with no usage or per seat fees |
|
Variable cost Workload / overage exposure |
High variable cost | Low variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |