Agentic Index
Gnani.ai vs WIZ.AI (2026)
Gnani.ai and WIZ.AI both build their own speech models for enterprise voice agents in Asia, and neither publishes a price. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Gnani, founded in Bengaluru in 2016, sells to banks, lenders, insurers, telecom operators and healthcare providers, and offers its speech to text, text to speech, speech to speech and language models as APIs as well as inside its agents. WIZ.AI, founded in Singapore in 2019, tunes its Language Engine for Southeast Asia's languages and dialects, and scopes and launches each deployment for the client. On the grid Gnani documents more: a full API, model choice, integrations, knowledge grounding, packaged agents, security and orchestration, where WIZ.AI is None or Partial. The deciding question is still language, so test both on recordings from your own callers.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Gnani.ai and WIZ.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 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Gnani.ai if
- Indian languages and financial services deployments match your market.
- Your engineers want the speech and language models as APIs, not only inside an agent.
- Documented security controls and integrations are on your checklist.
Choose WIZ.AI if
- Your customers speak Southeast Asian languages and dialects.
- You want the vendor to scope and launch the deployment for you.
- Models tuned for the region matter more to you than a broad toolkit.
| Feature | G Gnani.ai |
W WIZ.AI |
|---|---|---|
| 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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WIZ.AIIntegrations & Tool Calling Wizlynn hot transfers unhappy or low confidence callers to human agents with full call context, and Talkbot tracks promise to pay, activation and callback outcomes per account. WIZ.AI names no integration, connector, custom tool or API the agent acts through, and does not say what the agent writes or where. SourceWIZ.AI, wiz.ai (Wizlynn, Talkbot, client stories)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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WIZ.AIWorkflow Orchestration Wizlynn is a multi agent inbound system that replaces IVR menus with natural language routing and escalates to people. Talkbot prioritizes accounts, messages and follow ups across campaigns. WIZ.AI runs the routing between agents itself, and service goes live within days as a managed delivery that WIZ.AI runs end to end. It names no builder, flow or routing configuration the customer sees or edits. SourceWIZ.AI, wiz.ai (Wizlynn, Talkbot, home)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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WIZ.AITriggers & Channel Coverage Wizlynn picks up inbound calls in place of IVR menus, so each incoming call starts the work. Talkbot runs high volume outbound campaigns (up to a million calls in ten minutes) for collections, reminders, activation and telesales, with follow ups and callbacks tracked per account. SourceWIZ.AI, wiz.ai (Wizlynn, Talkbot)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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WIZ.AIKnowledge Grounding & RAG Wizlynn is configured with a knowledge base alongside tone and guardrail settings, and WIZ.AI promises grounded answers. It does not say how the knowledge is stored, refreshed or retrieved. The Language Engine is tuned per scenario, and WIZ.AI does not describe it as a store that can be queried. SourceWIZ.AI, wiz.ai (Wizlynn, Trust, Language Engine)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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WIZ.AIMemory & State Persistence The agent keeps state within a call. Hot transfers carry the full call context to a person, and Talkbot tracks outcomes per account. WIZ.AI describes no memory store the agent keeps across calls. SourceWIZ.AI, wiz.ai (Wizlynn, Talkbot)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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WIZ.AIHuman Oversight & Guardrails Wizlynn has guardrail controls and hot transfers to people, and WIZ.AI also names boundaries, escalation and rollout controls. It names no step that holds an agent action for a person's sign off before it commits. SourceWIZ.AI, wiz.ai (Wizlynn, Trust)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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WIZ.AISecurity, Identity & Governance Certifications held are SOC 2 Type II, PCI DSS, ISO 27001, ISO 27017 and ISO 27018. WIZ.AI does not state their dates or auditors, and names no roles, permissions, SSO or other control a customer operates. SourceWIZ.AI, wiz.ai (Trust, home)read 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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WIZ.AIObservability & Auditability Quality Management scores every call with a pass or fail scorecard from keyword, audio and SOP inspection, which checks whether the required process steps were executed. It tags each call by issue, risk, outcome, sentiment and root cause, and raises alerts. Wizlynn tracks each call's outcome in an AI Ops monitoring loop. The SOP check shows whether process steps ran on each call, and WIZ.AI does not describe detail at the level of tools. SourceWIZ.AI, wiz.ai (Quality Management, Wizlynn)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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WIZ.AIDeployment & Data Residency The Language Engine, the speech and language stack that runs the agents, is 'On-prem ready' across 17 markets, which gives it an on premises option. No deployment guide for it is published. Data from website visitors is stored in Singapore under the site's privacy policy, which covers site visitors only, and no hosting region for customer data is published. SourceWIZ.AI, wiz.ai (Language Engine, privacy policy)read 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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WIZ.AIPrebuilt Agents, Templates & Packs WIZ.AI sells two agent products, Wizlynn for inbound and Talkbot for outbound, and names use cases such as FAQ, IVR replacement, debt collection, payment reminders and telesales. It configures and launches each deployment for the client, and names no packaged agents or templates a customer adopts. SourceWIZ.AI, wiz.ai (home, Wizlynn, Talkbot)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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WIZ.AIModel Flexibility & Routing The agents run on the Language Engine, WIZ.AI's own speech to text, text to speech and reasoning layer, customized per scenario. WIZ.AI names no third party model, provider list or bring your own key, and does not say customers can choose a model. SourceWIZ.AI, wiz.ai (Language Engine)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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WIZ.AIAPIs, SDKs & MCP Extensibility There is no published API, SDK, MCP server or developer documentation for WIZ.AI's platform. The public site covers products, trust, client stories, news and legal terms, and no product page names an API. SourceWIZ.AI, wiz.ai (sitemap, product pages)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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WIZ.AITesting, Debugging & Optimization WIZ.AI names stress testing and rollout controls without describing them, and describes no evaluation harness. Quality Management scores calls but does not say it covers the AI agent's own calls. The Language Engine comes with a word error rate comparison, a benchmark of WIZ.AI's own models. SourceWIZ.AI, wiz.ai (Trust, Quality Management, Language Engine)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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WIZ.AIBrowser & Computer Use The agents work over phone calls, replacing IVR menus on inbound and dialing on outbound. WIZ.AI describes no browser, desktop or computer control. SourceWIZ.AI, wiz.ai (Wizlynn, Talkbot)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 |
W WIZ.AI |
|---|---|---|
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Entry price Lowest public entry point |
Not public. Pricing is quoted through enterprise sales. | Custom (contact sales) |
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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. | — |
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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 | — |
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