Agentic Index
Kore.ai vs Maven AGI (2026)
Both resolve support conversations at enterprise scale and one publishes a number, at 12.5 and 7.5 of 14.
Kore is the deep platform with 200 plus templates, 300 plus integrations, voice plus chat and a free tier. Maven unifies systems, knowledge and actions into one reasoning engine and claims autonomous resolution of up to 93 percent of support queries across every channel. Kore documents far more coverage; Maven's claim is the more striking, and up to 93 percent is exactly the kind of figure worth interrogating before believing.
Choose Kore.ai if
- Documented coverage is materially deeper and integration breadth is your constraint.
- A free tier and pay as you go lets you evaluate properly first.
- Templates shorten the distance from purchase to working agent.
Choose Maven AGI if
- One reasoning engine over systems, knowledge and actions is the architecture you want.
- Every channel covered from one engine matters for consistency.
- You are willing to test the resolution claim against your own ticket mix.
| At a glance | Kore.ai | Maven AGI |
|---|---|---|
| Category | Customer support agent | Customer support agent |
| Entry price | Free tier (~5,000 requests/mo) · Standard pay-as-you-go $0.20/conversation ($100 min, $500 signup credits) · Enterprise custom (session-based) | Contact for pricing |
| Free / trial | — | — |
| Pricing confidence | public partial | contact only |
| Feature | K Kore.ai |
M Maven AGI |
|---|---|---|
| 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 | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | 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 | Partial |
| 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. |
Full / Explicit | 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 | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | 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 | K Kore.ai |
M Maven AGI |
|---|---|---|
|
Entry price Lowest public entry point |
Free tier (~5,000 requests/mo) · Standard pay-as-you-go $0.20/conversation ($100 min, $500 signup credits) · Enterprise custom (session-based) | Contact for pricing |
|
Pricing confidence How public the numbers are |
Public — partial | Contact only |
|
Billing Primary billing axis |
hybrid | — |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | — |
Maven's up to 93 percent autonomous resolution figure is vendor stated with no published methodology. Ask what counts as a resolved query, whether the figure covers all ticket types or a filtered subset, and what happens to the remainder.