How much does Gnani.ai cost?

Pricing is not published. Gnani quotes its voice agents, agent assist, analytics, biometrics and speech model APIs through sales; no rate, billing unit, free tier or trial appears on its site.

What are the best alternatives to Gnani.ai?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Gnani.ai among voice agents are Smallest AI, Phonely, Synthflow, Vapi. Each is graded on the same public evidence, and no vendor pays for placement.

Does Gnani.ai support MCP and tool calling?

Full under the Agentic Index verification standard. Gnani.ai publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: 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 sp. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Gnani.ai have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Gnani.ai publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: 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; the homepage states SOC 2 certified and ISO 27001 certified, with GDPR, HIPAA. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Gnani.ai be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Gnani.ai publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Deployment options are named as Cloud, Private Cloud, On-Premise and Air-Gapped, so a buyer can run the stack in its own environment, and the speech to text API page offers on premise deployment for data sovereignty; the privacy policy name. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Gnani.ai

Also known as: Gnani AI, Gnani Innovations, Inya

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Voice agentindependentVerified 2026-09-28

Entry priceNot public; quoted through enterprise salesFull pricing detail

Voice AI platform with foundational speech models and agents that run production workflows for enterprises.

Gnani.ai builds its own speech models and the enterprise voice agents that run on them. Founded in Bengaluru in 2016, it sells to banks, lenders, insurers, telecom operators and healthcare providers. The model lineup covers speech to text (Prisma), text to speech (Timbre), speech to speech (Warp) and a domain calibrated language model (Evon), trained on what the company describes as more than fourteen million hours of real telephone audio. The same models are sold as APIs, with a Python SDK and LiveKit and Pipecat plugins for developers building their own voice stacks.

On top of the models sits the Inya agent platform. Teams build agents on a knowledge base of uploaded files and web pages, choose each agent's language model from Gnani's own Pampa models, OpenAI or Anthropic, and connect actions to CRM, ticketing, SMS, email and any HTTP endpoint. Workforce links specialized agents on a canvas with conditional handoffs that carry the transcript and extracted data forward, and a transfer step passes a call to a human agent.

Action logs show each call the agent made to an outside system, with the payload, response and status. Ready made agents cover restaurant ordering, hotel concierge, banking collections and service booking, and a Platform API creates and updates agents and pulls conversation logs. Alongside the agents Gnani sells agent assist for human staff, conversation analytics with QA scoring, and passive voice biometrics.

Deployment runs from cloud and private cloud to on premise and air gapped installation, and the site states SOC 2 and ISO 27001 certification with GDPR, HIPAA and PCI-DSS compliance. Access control is three fixed roles with per agent sharing; single sign on is not documented and audit logs are listed as coming soon. Testing is manual, through chat, a browser voice session and test calls, and pricing is quoted through sales.

Vendor details

Canonical URL

https://gnani.ai

Subcategory

Enterprise voice AI platform

Funding status

Independent, founded in Bengaluru in 2016 by Ganesh Gopalan and Ananth Nagaraj. Has raised roughly 17.7 million dollars in total, including a 10 million dollar first tranche of a Series B led by Aavishkaar Capital in March 2026, with InfoEdge Ventures participating. Reported EBITDA profitability in fiscal 2025 with revenue more than doubling, and was selected under the IndiaAI Mission to build a 14 billion parameter voice foundation model.

Company status

independent

Use cases & customers

Primary use cases

enterprise voice agentscontact center automationagent assist and speech analyticsvoice biometrics and authentication

Target customers

enterprise

Deployment options

SaaSprivate cloudon-premair-gapped

Integrations

Runs voice and digital agents across telephony, chat, email, and messaging channels, integrating with existing enterprise systems and offering a low code builder with prebuilt templates. Its full model stack, speech to text, text to speech, and speech to speech, is also available via API for developers, enterprises, and OEMs to build on.

In practice

Your contact center handles millions of calls in a dozen languages with heavy accents and code switching. Gnani's voice agents, trained on real telephonic audio, automate routine calls accurately where studio trained models fail.

A bank cannot let customer voice data leave its own environment. Gnani deploys on premise or air gapped with SOC 2, PCI DSS, and voice biometrics, so automation meets residency and compliance rules.

Human agents need help in the moment. Gnani's agent assist transcribes live, searches knowledge, and suggests responses, while speech analytics scores every call for quality automatically.

Sources & related URLs

Research sources

https://www.gnani.ai/ https://www.gnani.ai/about-us https://inc42.com/buzz/gnani-ai-raises-10-mn-to-build-sovereign-ai-voice-agents/

Agentic Index coverage score

11.5 / 14 capabilities · 82%

Integrations & Tool Calling	Full
Agents act in outside systems through actions: 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 buyer's systems during a call. SourceGnani.ai, docs.gnani.ai Custom Integrations and Actionsread 2026-09-28
Workflow Orchestration	Full
Workforce builds multi agent voice workflows on a canvas: specialized agents joined by conditional edges from a trigger node, with the transcript, extracted data and session context passed 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
Knowledge Grounding & RAG	Full
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. The retrieval mechanism is not described, so the persistent, updatable store is read as a maintained retrieval layer (an inference). SourceGnani.ai, docs.gnani.ai Creating a Knowledge Baseread 2026-09-28
Human Oversight & Guardrails	Partial
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 rather than an action the agent takes. No step where a person approves an agent action before it commits is documented; agent assist suggests responses to human staff, a product for people rather than oversight of the voice agent. SourceGnani.ai, docs.gnani.ai Agent Chaining and Organizationsread 2026-09-28
Security, Identity & Governance	Full
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; the homepage states SOC 2 certified and ISO 27001 certified, with GDPR, HIPAA and PCI-DSS compliance. No SSO or SAML is documented, 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
Observability & Auditability	Full
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 buyer 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
Memory & State Persistence	Partial
Within a call, a workforce passes the transcript, structured data extracted during the call and session context from one agent to the next; no store the agent reads across calls, with a stated scope and lifetime, is documented. SourceGnani.ai, docs.gnani.ai Creating a Workforceread 2026-09-28
Deployment & Data Residency	Full
Deployment options are named as Cloud, Private Cloud, On-Premise and Air-Gapped, so a buyer can run the stack in its own environment, and the speech to text API page 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
Prebuilt Agents, Templates & Packs	Full
Four named ready made agents doing separate jobs: a Restaurant Ordering Agent, a Hotel Concierge Agent, a Banking Collections Agent and the Neo Service Booking Agent, plus prompt templates 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
Triggers & Channel Coverage	Full
Agents handle inbound and outbound calls, and the Inya Workforce product runs across voice, chat, SMS and email; an inbound call from the buyer's customers starts the agent without anyone at the buyer prompting it, and each workforce starts from a trigger node. Scheduled campaigns and webhook starts are not documented. SourceGnani.ai, gnani.ai homepage, Inya Workforce page and docs.gnani.ai Creating a Workforceread 2026-09-28
Model Flexibility & Routing	Full
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; the choice among third party providers carries the cell, while Gnani's own speech models are fixed. SourceGnani.ai, docs.gnani.ai Get LLM Models and Creating Your First Agentread 2026-09-28
APIs, SDKs & MCP Extensibility	Full
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
Testing, Debugging & Optimization	Partial
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; no scored test cases, simulations or quality gates are documented. 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
Browser & Computer Use	Not documented
Agents work over telephony, chat, SMS and email and act through API actions; no browser, desktop or computer control is documented. SourceGnani.ai, gnani.ai homepage and docs.gnani.ai Agent Builder pagesread 2026-09-28

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-08-28·Agent capabilityPartially Verified

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.

Bears on: Agent capability

View source

2026-08-13·Agent capabilityVerified

Gnani.ai released Timbre v2.5, an upgraded text to speech model featuring over 40 voices across 10 Indian languages. The model supports 8 to 48kHz audio output and operates with under 200ms latency.

Bears on: MCP / tool calling / API

View source

View all 2 changes for Gnani.ai →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

Not public; quoted through enterprise sales

Not published

What is public

No public rate. Gnani publishes no pricing page, plan or per minute figure; model APIs and enterprise deployments are quoted through sales.

Billing mechanics

Not published. Commercial terms for agents, agent assist, analytics, biometrics and the speech model APIs are quoted through sales; deployment options run from cloud and private cloud to on premise and air gapped.

Cost watchouts

On premise and air gapped deployments and multiple product modules can each affect pricing. Confirm which of voice agents, agent assist, analytics, and biometrics are included and how interaction volume is metered.

Variable cost rationale

Contact center voice pricing scales with interaction volume, so cost tracks call and minute volume; a busy period or added channels raises spend.

Additional watchouts

Volume based voice pricing couples cost to call and minute volume; model blended cost per interaction and confirm how on premise or air gapped deployment changes the commercial terms.

Sales call required

Yes, required for paid access

Free / trial

No free tier or trial published; model APIs and enterprise deployments are quoted through sales

Key ambiguities

No entry rate, per minute or per interaction figure is published, and the billing unit is not stated; all pricing is quoted through sales.

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Gnani.ai

The closest documented capability profiles to Gnani.ai among voice agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Smallest AI11.0 / 14A lighter documented profile than Gnani.ai
Phonely11.5 / 14Fuller documented coverage on Testing, Debugging & Optimization
Synthflow12.5 / 14Fuller documented coverage on Memory & State Persistence and Testing, Debugging & Optimization
Vapi11.5 / 14Fuller documented coverage on Testing, Debugging & Optimization
Thoughtly10.0 / 14A lighter documented profile than Gnani.ai
Regal10.5 / 14Fuller documented coverage on Testing, Debugging & Optimization

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Gnani.ai with other vendors →Compare all voice agents →See where Gnani.ai ranks →

Data confidence: high

Head to head

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