Thinnest AI
Thinnest AI is a unified platform for building and deploying human-sounding voice and chat AI agents with sub-500ms latency, 100+ language support, visual workflow automation, and India-first compliance (data residency, DPDPA, TRAI).
https://thinnest.ai/?ref=producthunt
Product Information
Updated:May 22, 2026
What is Thinnest AI
Thinnest AI (ThinnestAI) is an India-built voice AI platform that lets businesses create autonomous voice and chat agents for support, sales, and complex operational workflows. It focuses on fast, natural conversations, broad multilingual coverage (including major Indian languages and Hinglish), and “BYOK” (bring your own model/provider) flexibility. The product is positioned for regulated and high-volume use cases—such as BFSI, insurance, healthcare, e-commerce, BPO/contact centers, and government services—while emphasizing that data stays in India and deployments can meet local regulatory requirements.
Key Features of Thinnest AI
Thinnest AI is a unified platform for building and deploying autonomous voice and chat agents with sub-second, human-sounding conversations, designed especially for India-first compliance and multilingual reach. It supports 100+ languages (including 22+ Indian languages), enables BYOK model selection, and provides core agent capabilities like long-term memory, knowledge grounding (RAG), and tool integrations (APIs, payments, email, SQL, web search). Teams can design workflows in a visual builder, deploy across channels like voice telephony and messaging apps, and run compliant outbound campaigns with India data residency and regulatory features baked in.
Sub-second voice agents: End-to-end voice latency under 500ms for real-time, natural conversations suitable for support and sales.
100+ languages (India-first): Supports 22+ Indian languages plus global languages, including Hinglish/code-switching, to serve diverse customer bases.
BYOK + model flexibility: “Choose any model, turn any model into an agent,” enabling teams to route intelligence via their preferred LLM providers.
Visual workflow builder: No-code/low-code flow design to create multi-step agents with branching logic and business process orchestration.
Knowledge + grounded responses (RAG): Connect PDFs, websites, and other knowledge sources to provide domain-specific, more reliable answers and reduce hallucinations.
India compliance & data residency: Designed for RBI data localization (GCP Mumbai), DPDPA 2023 features (consent, purge/erasure), and TRAI-aligned outbound controls (DND/NCPR, time-boxing, AI disclosure).
Use Cases of Thinnest AI
Banking & NBFC collections and servicing: Automate loan collections, KYC verification, and account servicing in Hindi and regional languages with compliance-oriented controls.
Insurance renewals and claims assistance: Run renewal reminders, intake claim details, and answer policy questions across languages with knowledge-base grounding.
BPO/contact center automation: Handle high-volume inbound support and outbound calls with voice agents that integrate with CRMs/helpdesks and escalate when needed.
E-commerce order confirmation & returns: Automate COD verification, order confirmations, delivery coordination, and returns workflows via voice and messaging channels.
Healthcare scheduling and follow-ups: Book appointments, send reminders, and conduct post-visit follow-ups in patients’ preferred languages.
Government citizen services: Provide voice-first access for grievance redressal, scheme enrollment, and information services in local languages.
Pros
Strong India-first compliance posture (data residency + DPDPA + TRAI/RBI-oriented features).
Broad multilingual coverage including Indian languages and code-switching support.
End-to-end agent stack (memory, RAG, tools, workflow builder, omnichannel deployment) reduces integration effort.
Cons
Some advanced capabilities (e.g., certain feature releases/updates) are indicated as forthcoming, so availability may vary by timeline.
Performance and voice quality can depend on chosen BYOK models/providers and downstream integrations.
Concurrency and storage limits on lower tiers may constrain larger deployments without upgrading.
How to Use Thinnest AI
1) Create an account and start a free trial: Go to https://www.thinnest.ai/login and sign up. Start on the Trial plan (no credit card required) to access free voice minutes, STT minutes, and chat messages.
2) Choose what you’re building (voice, chat, or omnichannel): Decide whether your agent will run on phone calls (voice), chat, or multiple channels (e.g., WhatsApp + voice). ThinnestAI supports omnichannel orchestration so you can deploy once and run across channels.
3) Create a new agent: In the dashboard, create an agent and give it a name and purpose (e.g., collections, support, appointment booking). This agent becomes the container for your model choice, knowledge, memory, and tools.
4) Bring your own providers (BYOK) for LLM, STT, TTS, and telephony: Configure the providers you want to use (bring your own LLM/STT/TTS/telephony). ThinnestAI is designed to avoid lock-in, so you can use the API keys you already pay for.
5) Pick languages and enable multilingual behavior: Select the languages your customers speak (100+ supported, including 22+ Indian languages). If needed, enable seamless multilingual conversations and code-switching (e.g., Hinglish).
6) Add knowledge for grounded answers (RAG): Attach domain knowledge sources (e.g., PDFs, websites, internal docs) so the agent can answer accurately and reduce hallucinations. Use this for policies, FAQs, product docs, or scripts.
7) Enable built-in memory (optional): Turn on long-term conversation memory if your use case benefits from personalization and continuity (e.g., remembering prior interactions and preferences).
8) Add tools for business actions (API calls, SQL, payments, tickets, email): Configure tools the agent can call during conversations (e.g., Make Payment, Run SQL query, API call, Send Email, create_ticket). This lets the agent complete workflows instead of only answering questions.
9) (Advanced) Connect in-call tooling via MCP to your systems: If you have your own MCP server, configure the agent with your MCP URL, auth, allow-listed tool names, and timeout. This enables live in-call actions like get_loyalty_balance or create_ticket mid-utterance.
10) Build the conversation logic using the Visual Workflow Builder: Use the drag-and-drop flow builder to define steps, branching, decision trees, and tool calls (e.g., verify identity → fetch account → offer payment link → confirm). This is the main way to ship complex workflows without glue code.
11) Integrate telephony (SIP or Twilio) and/or WhatsApp: Connect your calling stack using native SIP or Twilio. For messaging, enable WhatsApp Business API if needed. This is how your agent receives and places calls/messages.
12) Configure compliance and outbound calling rules (India-focused): If you’re doing outbound calls in India, configure TRAI-related constraints (e.g., DND/NCPR scrubbing, IST calling windows like 9AM–9PM, AI disclosure). For regulated industries, ensure data residency and consent recording settings align with your requirements.
13) Test end-to-end latency and voice quality: Run test calls to validate the sub-second experience (<500ms target), language switching, and tool execution. Iterate on prompts, workflow branches, and knowledge sources until the agent behaves reliably.
14) Launch and scale concurrency: Deploy the agent to production channels. Start with the included concurrency limits on Trial/Pay-as-you-go, then move to Enterprise for unlimited concurrency, dedicated SLA, audits, or on-prem deployment.
15) Monitor usage and manage pricing in INR: Track minutes and usage in the dashboard. ThinnestAI bills in INR (e.g., ₹1.50/min platform fee for voice calls on pay-as-you-go), with Razorpay/UPI support, avoiding FX markups.
Thinnest AI FAQs
ThinnestAI is a unified platform for building and deploying autonomous voice and chat AI agents, designed for India and global use, with support for 100+ languages and tools like knowledge/RAG, memory, and integrations.
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