Agentic Index
Gnani.ai vs PolyAI (2026)
Two enterprise voice platforms with proprietary models underneath, both sold through enterprise contracts. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
PolyAI builds lifelike assistants on its Raven model with retrieval grounded answers and deep contact centre integration, priced per minute at roughly six figures a year. Gnani runs foundational speech models under agents executing production workflows, priced by usage and interaction volume, documenting 9.5 of 14 against PolyAI's 9.5. PolyAI optimizes the conversation; Gnani optimizes the workflow behind it. Neither publishes a rate card, so model your volume before either call.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Gnani.ai and PolyAI 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 Gnani.ai if
- The agent has to complete work, not just handle the call, and workflow execution is the requirement.
- Documented coverage is broader across the matrix.
- Usage and interaction based pricing suits your volume better than per minute.
Choose PolyAI if
- Conversation quality is the product: naturalness and retrieval grounded answers are what customers judge.
- Deep contact centre integration into your existing stack is the constraint.
- You want a vendor whose entire focus is high volume customer service voice.
| At a glance | Gnani.ai | PolyAI |
|---|---|---|
| Category | Voice agent | Voice agent |
| Entry price | Not public; enterprise sales, typically priced by usage and interaction volume, with model APIs available | Custom; per-minute, ~6-figure/yr |
| Free / trial | Model APIs available to try, enterprise deployments through sales; no public self serve pricing | — |
| Pricing confidence | contact only | contact only |
| Feature | G Gnani.ai |
P PolyAI |
|---|---|---|
| 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. |
Partial | Partial |
| 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 | Full / Explicit |
|
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. |
Partial | Partial |
|
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. |
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 | G Gnani.ai |
P PolyAI |
|---|---|---|
|
Entry price Lowest public entry point |
Not public; enterprise sales, typically priced by usage and interaction volume, with model APIs available | Custom; per-minute, ~6-figure/yr |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
interaction volume and usage | — |
|
Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | — |
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