Agentic Index
Gnani.ai vs PolyAI (2026)
Both vendors last verified
Gnani.ai and PolyAI both build enterprise voice agents on models of their own, and both sell through sales without public rates. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Gnani, founded in Bengaluru in 2016, builds speech to text, text to speech, speech to speech and language models and runs agents on them for banks, lenders, insurers, telecom operators and healthcare providers, offering the models as APIs too. PolyAI, founded in London in 2017, runs its agents on its own Raven models or a model the customer chooses, from OpenAI to Amazon Bedrock, and prices ongoing use per minute with support, a 99.9 percent uptime SLA and continued tuning included. Gnani offers cloud, private cloud, on premises and air gapped installs and ships four ready made agents. PolyAI remembers each caller by phone number and tests agents on simulated callers with pass or fail assertions. Choose Gnani for deployment options and Indian language depth. Choose PolyAI for memory across calls and a bundled per minute rate.
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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Gnani.ai if
- Deployment options and data residency are requirements in your market.
- Indian languages and financial services deployments match your customers.
- Your engineers want the speech models as APIs as well.
Choose PolyAI if
- Callers should be remembered across calls.
- Testing agents in simulation before release is part of your process.
- A per minute price that includes support, an uptime SLA and tuning simplifies the contract.
| Feature | G Gnani.ai |
P PolyAI |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Gnani.aiIntegrations & Tool Calling Agents act in outside systems through actions, including prebuilt CRM, ticketing, SMS and email actions, a Webex Contact Center integration, and custom actions that call any HTTP endpoint with GET, POST, PUT or DELETE and an Authorization header, so the agent can write to the customer's systems during a call. SourceGnani.ai, docs.gnani.ai Custom Integrations and Actionsread 2026-09-28 |
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PolyAIIntegrations & Tool Calling Agents call customer written tools, which are functions with state variables, return values and a conversation API client, and API integrations during a call. Integrations include Salesforce, Zendesk ticketing, Epic EHR, Stripe, PCI Pal, OpenTable, Tripleseat, HotSOS, Gladly and Google Sheets, with contact center handoff to Genesys, NICE CXone, Five9, Amazon Connect and others. SourcePolyAI, docs.poly.ai (Tools introduction, Integrations overview)read 2026-09-28 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Gnani.aiWorkflow Orchestration Workforce builds multi agent voice workflows on a canvas, where specialized agents are joined by conditional edges from a trigger node and the transcript, extracted data and session context pass to the next agent. Agent Chaining adds decision nodes that branch on conditions and event nodes that transfer or end the call. SourceGnani.ai, docs.gnani.ai Creating a Workforce and Agent Chainingread 2026-09-28 |
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PolyAIWorkflow Orchestration Flows are built in a no code builder or the ADK from steps, entities with validation, transition functions and advanced steps. They are triggered from topics or functions and versioned through branches, diffs and staged environments, and the recipes include a retry counter that escalates after failures. SourcePolyAI, docs.poly.ai (Flows introduction, Triggering flows, Transition functions, Environments)read 2026-09-28 |
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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. |
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Gnani.aiTriggers & Channel Coverage Agents handle inbound and outbound calls, and the Inya Workforce product runs across voice, chat, SMS and email. An inbound call from a customer's own callers starts the agent with no one prompting it, and each workforce starts from a trigger node. Gnani.ai does not describe scheduled campaigns or webhook starts. SourceGnani.ai, gnani.ai homepage, Inya Workforce page and docs.gnani.ai Creating a Workforceread 2026-09-28 |
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PolyAITriggers & Channel Coverage Agents answer inbound calls on PolyAI numbers or through SIP and contact center integrations, and an API triggers outbound calls. Inbound SMS, RCS, email and web chat reach the agent, and external events post results into running conversations. SourcePolyAI, docs.poly.ai (Outbound calling setup, Trigger outbound call API, SMS deployment, Email integration)read 2026-09-28 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Gnani.aiKnowledge Grounding & RAG Knowledge bases hold uploaded PDF, Word, spreadsheet, CSV and text files and imported public web pages, are processed once content is added, and then serve any agent linked to them during calls. Content is refreshed by uploading new files or removing old ones, and the Platform API manages per agent FAQ entries. Gnani.ai does not describe the retrieval mechanism itself. SourceGnani.ai, docs.gnani.ai Creating a Knowledge Baseread 2026-09-28 |
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PolyAIKnowledge Grounding & RAG Knowledge base topics are created, updated and deleted in Agent Studio or through the Knowledge Base API, and RAG retrieves from them and from connected external knowledge sources. Transcripts can show the topic citations behind each answer, and new knowledge enters by adding a topic or source, not by retraining. SourcePolyAI, docs.poly.ai (RAG, External knowledge sources, Knowledge Base API, Studio transcripts)read 2026-09-28 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Gnani.aiMemory & State Persistence Within a call, a workforce passes the transcript, structured data extracted during the call and session context from one agent to the next. The agent has no store it reads across calls with a set scope and lifetime. SourceGnani.ai, docs.gnani.ai Creating a Workforceread 2026-09-28 |
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PolyAIMemory & State Persistence Agent memory is a key value store keyed to the caller's phone number. It is read at the start of each turn and written at the end of a conversation for declared state keys, holding data such as preferences and booking history between conversations, and it expires at the end of the contracted retention period. No manual per caller delete path is described. SourcePolyAI, docs.poly.ai (Agent memory persistence)read 2026-09-28 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Gnani.aiHuman Oversight & Guardrails A transfer event hands the call to a human agent when conditions set in the flow are met, and a QA role must mark an agent ready for production before it ships, which gates the configuration, not individual agent actions. No person approves an agent action before it commits. Agent assist is a separate product that suggests responses to human staff. SourceGnani.ai, docs.gnani.ai Agent Chaining and Organizationsread 2026-09-28 |
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PolyAIHuman Oversight & Guardrails Five platform guardrails block jailbreaks, hold the agent to its knowledge base, filter unsafe content and escalate at once on emergencies, and handoff actions pass callers to live agents with state. No action waits for a person's sign off before it commits. SourcePolyAI, docs.poly.ai (Safety guardrails, Handoff actions)read 2026-09-28 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Gnani.aiSecurity, Identity & Governance Access uses three fixed roles (Org Admin, Developer, QA), with agents private by default and shared read only or with edit rights, which only the creating developer can grant. Gnani.ai states it is SOC 2 certified and ISO 27001 certified, with GDPR, HIPAA and PCI-DSS compliance. There is no SSO or SAML, audit logs are marked coming soon, and no trust center or report is published. SourceGnani.ai, docs.gnani.ai Organizations and gnani.ai homepageread 2026-09-28 |
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PolyAISecurity, Identity & Governance Access control runs on Admin and Member roles, with each member set to None, Read or Edit per area, such as Analytics, Behavior, Knowledge, Flows, Tools, Testing and Deployments, plus a secrets vault with its own access control. No SSO is described. Compliance standards cover ISO/IEC 27001, SOC 2 Type II, PCI DSS, HIPAA where applicable, GDPR and Cyber Essentials Plus, with no dates given. SourcePolyAI, docs.poly.ai (Role permissions reference, Compliance standards) and poly.ai/securityread 2026-09-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Gnani.aiObservability & Auditability Action Logs record each action the agent triggers during a conversation (CRM, email, SMS and custom API calls) with the trigger time, the payload sent, the response, the status code and the parameters, so a customer can see what the agent did on each call. The Platform API returns conversation logs and analytics. SourceGnani.ai, docs.gnani.ai Action Logs and Platform API introductionread 2026-09-28 |
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PolyAIObservability & Auditability Studio transcripts carry timestamped turns and audio, with toggles for tool calls, topic citations, flows and steps, and variables. Structured logging from functions, diagnostic layers in conversation review, alert rules, the Conversations API and S3 export sit beside them. SourcePolyAI, docs.poly.ai (Studio transcripts, Conversation review, Alerts API)read 2026-09-28 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Gnani.aiDeployment & Data Residency Deployment options are Cloud, Private Cloud, On-Premise and Air-Gapped, so a customer can run the stack in its own environment, and the speech to text API offers on premise deployment for data sovereignty. The privacy policy names no hosting region. SourceGnani.ai, gnani.ai homepage, Speech-to-Text API page and privacy policyread 2026-09-28 |
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PolyAIDeployment & Data Residency The platform is hosted on AWS, with no deployment or region choice. The compliance standards name no data residency region, and the privacy policy's transfers between the United States, the EEA and the UK rest on contractual clauses and adequacy. Staged environments are release stages, and S3 export copies call data out. SourcePolyAI, poly.ai/security, docs.poly.ai (Compliance standards) and poly.ai/privacy-policyread 2026-09-28 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Gnani.aiPrebuilt Agents, Templates & Packs Gnani.ai offers four ready made agents for separate jobs, a Restaurant Ordering Agent, a Hotel Concierge Agent, a Banking Collections Agent and the Neo Service Booking Agent, and prompt templates are offered as a starting point when an agent is created. SourceGnani.ai, gnani.ai Agents product page and docs.gnani.ai Creating Your First Agentread 2026-09-28 |
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PolyAIPrebuilt Agents, Templates & Packs The Recipes collection offers copy and paste patterns such as SMS confirmation, retry with handoff, caller ID validation and intent based routing, presented as a starting point. ADK tutorials walk through building agents such as a restaurant booking agent, and no catalog of prebuilt agents ready to adopt is published. SourcePolyAI, docs.poly.ai (Recipes, ADK tutorials)read 2026-09-28 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Gnani.aiModel Flexibility & Routing Each agent's LLM is a provider and model setting, and the Get LLM Models endpoint lists Anthropic (Claude 3.5 Sonnet), OpenAI (GPT-4.1 mini, GPT-4o mini) and Gnani's own Pampa models. Customers choose among these third party providers, while Gnani's own speech models are fixed. SourceGnani.ai, docs.gnani.ai Get LLM Models and Creating Your First Agentread 2026-09-28 |
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PolyAIModel Flexibility & Routing Customers choose the model for voice and chat from PolyAI's own Raven family, OpenAI models (GPT-5.2, GPT-5 mini and nano, GPT-4.1, GPT-4o) and Amazon Bedrock models (Claude Opus, Sonnet and Haiku, Nova Micro). Bring Your Own Model connects any endpoint on the OpenAI chat completions schema with an API key or bearer token. SourcePolyAI, docs.poly.ai (LLM model selection, Bring your own model)read 2026-09-28 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Gnani.aiAPIs, SDKs & MCP Extensibility The Agent Builder Platform API at api.inya.ai/platform, authenticated with an x-api-key header, covers agents, agent configuration, per agent FAQ knowledge and conversations (call logs and analytics, by polling or webhook callbacks). The speech models are also sold as APIs with a Python SDK. SourceGnani.ai, docs.gnani.ai Platform API introductionread 2026-09-28 |
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PolyAIAPIs, SDKs & MCP Extensibility The Agents API creates and duplicates agents and manages branches, behavior rules, knowledge topics, variants, deployments, numbers, secrets and voices. Conversations, Chat, Messaging, Outbound, Webhooks and Alerts APIs sit beside it, along with iOS and Android SDKs, the ADK CLI, and authenticated Builder and Data MCP servers for PolyAI's own platform. SourcePolyAI, docs.poly.ai (API reference introduction, MCP overview)read 2026-09-28 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Gnani.aiTesting, Debugging & Optimization Agents are tested by hand in a chat window, a browser voice session and live test calls from whitelisted numbers, then tuned on temperature, prompt, transcriber and voice. There are no scored test cases, simulations or quality gates. The Inya Insights analytics product scores human agents' calls for coaching, not the voice agent. SourceGnani.ai, docs.gnani.ai Testing Your Agent and gnani.ai Inya Insights pageread 2026-09-28 |
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PolyAITesting, Debugging & Optimization Simulation tests describe a caller scenario, generate the caller's turns and mark each assertion passed or failed, including system actions that check the backend operations the agent triggered. Tests run before publishing and in CI through the API, and A/B testing compares variants on live traffic. SourcePolyAI, docs.poly.ai (Simulation tests, CI automation, A/B testing)read 2026-09-28 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Gnani.aiBrowser & Computer Use Agents work over telephony, chat, SMS and email and act through API actions, and they do not control a browser, desktop or computer. SourceGnani.ai, gnani.ai homepage and docs.gnani.ai Agent Builder pagesread 2026-09-28 |
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PolyAIBrowser & Computer Use PolyAI agents work over voice, SMS, RCS, email, web chat and mobile SDKs and act through tools and APIs, with no browser, desktop or computer control. DTMF input collection reads a caller's keypad, not an interface the agent operates. SourcePolyAI, docs.poly.ai (llms.txt, DTMF input collection)read 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | G Gnani.ai |
P PolyAI |
|---|---|---|
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Entry price Lowest public entry point |
Not public. Pricing is quoted through enterprise sales. | Contact for a quote. Use is billed per minute. |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
The billing unit is not published. | Per minute of voice agent use. |
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Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Gnani.ai
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· Workflow orchestration
The Prompt Engine in Gnani.ai's Agent Builder splits a voice agent's conversation into scenarios, each a self contained piece of the flow, joined by transitions set up in advance.
Source -
· Deployment / data residency
The agentic conversational platform from Gnani.ai is now live as a fully colocated stack in the US, Singapore, Japan and the UAE, with production voice conversations already running.
Source -
· Agent capability
Gnani.ai launched Artha, a sovereign enterprise AI stack that combines its new 30-billion-parameter open-weight foundational model, Evon v3.3, with the Plexus platform for AI agents.
Source
PolyAI
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· Deployment / data residency
Dialog-RSN-1, PolyAI's model that hears a live call, reasons about it and responds in under 300 milliseconds, is now available through AWS Marketplace as a SageMaker endpoint inside the customer's own AWS environment.
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· Agent capability
PolyAI introduced Wren, a new coding agent designed to autonomously analyze production conversations and recommend improvements to dialog agents.
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· Observability / auditability
PolyAI updated its PolyScore analytics metric by shifting from a 0 to 10 scale to a 1 to 5 scale.
Source
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