Agentic Index
Avesha vs Resolve AI (2026)
Both run coordinated agent teams rather than a single agent, at 10.5 and 9 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Avesha's swarm monitors, diagnoses and remediates across Kubernetes and cloud, with root cause analysis, auto remediation and GPU orchestration. Resolve runs a multi agent parallel hypothesis team targeting eighty percent autonomous resolution, on a self learning knowledge graph with REST and MCP APIs. Avesha's GPU orchestration is the unusual inclusion: if your reliability problem and your GPU scheduling problem are the same problem, that is a real differentiator.
On the Agentic Index production ops ranking, neither Avesha nor Resolve AI clears the bar, which asks for all five resolution loop capabilities documented in full. Avesha does not document human oversight and guardrails in full; Resolve AI does not document observability and auditability in full, nor human oversight and guardrails. 10 of the 39 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. Avesha 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 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Avesha if
- Documented coverage is broader and GPU orchestration alongside reliability matches your estate.
- Kubernetes and cloud together is the scope, and a swarm suits distributed diagnosis.
- Auto remediation is the outcome, not a target percentage.
Choose Resolve AI if
- Parallel hypothesis testing is the diagnostic method you find most credible.
- A self learning knowledge graph compounds value across incidents.
- MCP APIs mean your other agents can reach the incident context.
| At a glance | Avesha | Resolve AI |
|---|---|---|
| Category | SRE / DevOps agent | SRE / DevOps agent |
| Entry price | Enterprise pricing; not publicly listed | Contact sales; enterprise contracts, no public rates |
| Free / trial | Credentials are provisioned through Avesha; no public self serve tier. | Enterprise evaluations and proofs of value through sales; no self serve trial |
| Pricing confidence | contact only | contact only |
| Feature | A Avesha |
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. |
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 | Full / Explicit |
| 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 | Partial |
|
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 | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| 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 | No / Not documented |
|
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 | No / Not documented |
| 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 |
R Resolve AI |
|---|---|---|
|
Entry price Lowest public entry point |
Enterprise pricing; not publicly listed | Contact sales; enterprise contracts, no public rates |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
Enterprise engagements scoped to environment size and workloads; self hosted install with provisioned credentials. | enterprise contract |
|
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 |
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