/Companies

Vakya

Techstars '25

Mather, US · Founded 2024 · 3 employees on LinkedIn · 1 known investors

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Vakya builds multilingual Voice AI agents for customer engagement across financial, health, commerce, and hospitality sectors. The platform enables businesses to deploy conversational AI for customer support, sales, and service via phone, SMS, WhatsApp, and other messaging channels.

Also known as vakya.ai

Founders & leadership

Vakya was founded in 2024 by Neil Patel.

NPNeil Patel
Neil PatelCo-Founder and CEONeil Patel previously researched spoken dialogue systems at Stanford and studied computer science and business at UC Berkeley. He has worked on voice technology in India for over a decade and is founder of Vakya, which builds multilingual voice AI agents for customer engagement across financial services, healthcare, commerce, and hospitality.

Investors · 1

Techstarslisted by TechstarsBoulder · $220K

How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us

Company profile

researched Sep 2026

Vakya develops multilingual voice AI agents intended to automate customer engagement conversations for businesses. The agents handle support, sales and service interactions and are positioned as domain-specific, with vertical builds for financial services, health, commerce and hospitality covering use cases such as customer sourcing, onboarding, transacting, retention and reactivation. Illustrative material on the company site shows an agent conducting a retail bank loan-eligibility and KYC qualification call and then transferring the conversation to WhatsApp to collect identity documents.

The product is voice-first but omnichannel, operating over phone calls, SMS, WhatsApp and other messaging applications, and supports 8 or more languages with an emphasis on vernacular and mixed-language speech such as "Hinglish". Capabilities described include a library of task-oriented language-model agents fine-tuned per use case with configurable brand personas, API integrations with CRM and CDP systems, real-time reporting and analytics including predictive analytics for credit decisioning and delinquency, and conversion of voice interactions into structured data. The company states its language models are continuously fine-tuned to exceed 95% accuracy with humans in the loop for monitoring and escalation, and that its security posture is audited by enterprise customers and government regulators.

Business model

Vakya sells its voice AI agent platform to businesses on a pay-per-use basis, offering subscription plans with credits charged per minute of customer conversation.

Usage-based pricing: flexible subscription plans with credits consumed per minute of customer conversations.

Traction

Company-reported figures include 3.8 million unique customers reached in the past year, an 82% engagement rate over call, 60% reduction in costs and a 2x increase in conversions, with deployments stated to be live at banks, fintechs and SMEs.

▸Full profile — market position, technology, go-to-market, history

Market position

The company positions voice AI agents as a default interface between businesses and customers, and states its agents are in production with leading banks, fintechs and SMEs.

Vakya emphasizes vertically specialized agents rather than generic chatbots, ownership of its telephony infrastructure for low latency and call delivery at scale, support for vernacular and mixed-language conversation, and enterprise-grade security audited by enterprises and government regulators.

Technology

The stack combines language-model-based, task-specific conversational agents with speech interfaces and an in-house telephony layer. The company describes a home-grown telephony stack built for human-like response latency at million-call scale, with capacity cited at 10 million calls per day and a position among the top-10 enterprise VoIP consumers nationally. Other described components include opinionated NLU design with per-use-case fine-tuned agents, CRM/CDP API integrations, multilingual and code-mixed language support, human-in-the-loop monitoring and escalation, and analytics that convert voice interactions into structured data. The company says its approach is backed by PhD research in spoken dialogue systems from Stanford and UC Berkeley and evaluated by Harvard.

Go-to-market

Direct enterprise sales, with the company website funneling prospects to a booked demo.

Enterprises and businesses in financial services, health, commerce and hospitality; the company states its agents are deployed with banks, fintechs and SMEs.

History

The team states it has built and scaled enterprise voice applications over the prior decade.

Compiled by commissioned research from 4 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Daily outbound call capacity of in-house telephony stackJan 202510,000,000 calls per day
Engagement rate over callJan 202582%
HeadcountAug 20263
Increase in conversionsJan 20252x
Languages supportedJan 20258 languages
Reduction in customer service costsJan 202560%
Stated model accuracyJan 2025>95%
Unique customers reached in the last yearJan 20253,800,000 customers

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

▸Research sources · 4

primary sources listed

4 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Vakya do?
Vakya builds multilingual voice AI agents that handle customer support, sales and service conversations for enterprises.
Who founded Vakya?
Vakya was founded by Neil Patel in 2024.
Who are Vakya's investors?
Vakya's investors include Techstars.
Where is Vakya headquartered?
Vakya is headquartered in Mather, US.