Devnagri Black Bird ASR records the lowest error in the Voice of India Benchmark Study

An average OI-WER of 8.7 across 15 Indian languages, less than half the error of the global models tested.

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No More Tools, Power Workflows With Language Infrastructure Layer

From CMS to CRM to support desk one language layer, fully compliant, fully automated.

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Devnagri Received A New Patent

India's first patented AI infrastructure for enterprise grade localisation and workflow automation at scale.

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A Small Finance Bank Grew Traffic By 75% With Localised Pages

Localised 5000+ pages Improved accessibility for vernacular audience.

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Get started with enterprise language workflows

Your customer speaks multiple languages. Enable your systems to do the same.

INDUSTRIES
INDUSTRIES

Get Started with a Use Case

  • Onboard customers in any language
  • Automate language intensive workflows
  • Resolve servicing and compliance faster
  • Govern every interaction, audit ready
Explore the BFSI industry
INFRASTRUCTURE PLATFORM
INFRASTRUCTURE PLATFORM

Workflow orchestration

  • Deploy a three layer language stack
  • Automate multilingual customer journeys
  • Embed context and intelligence everywhere
  • Orchestrate workflows across any model
Learn more about the platform
DEVELOPERS
DEVELOPERS

Start Building

  • Build on an API first platform
  • Ship multilingual experiences faster
  • Integrate language aware workflows in min.
  • Scale enterprise ready from day one
Find out more

Delivering impact at enterprise scale

Faster go to market, flexible deployment, Global language coverage and high customer satisfaction.

Enterprise Deployments0+
Languages0+
Total Inferencing0.0M+
AI Conversations / Month0K+

One language platform powering enterprise workflows and use cases

Devnagri acts as the model agnostic language intelligence platform bridge between foundation AI models and core enterprise systems, governing language workflows across regulated industries.

BANKING

Vernacular first banking compliance built in

Domain trained Language AI for BFSI Workflows solving unique industry usecases while following strict regulatory compliance requirements.

Loan Onboarding
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GOVERNMENT

Citizen first governance compliance built in

Domain trained Language AI for Government Workflows while meeting security, compliance, and data sovereignty requirements.

Citizen Onboarding
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COMMERCE

Language first commerce growth built in

Domain trained Language AI for Commerce Workflows, powering multilingual shopping journeys, customer engagement, and support across channels.

Order Management
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Infrastructure platform 3 layer architecture

Devnagri's three layer architecture combines CX, processing, and intelligence capabilities into a unified language infrastructure enabling enterprises to automate workflows.

Customer Experience

Human Like AI Experience Across Customer Touchpoints

AI Voice AgentsCollections, Support, Onboarding
AI ChatbotsWhatsApp, Web, Mobile
Web LocalisationLocal SEO, AEO, GEO
App LocalisationLocalised UI & Push Notifications

Processing

Where Workflows are Transformed

Vision 360Document & Image Data Extraction
Document EngineDocument Understanding & Processing
Translation / TransliterationLanguage & Script Conversion
Text to SpeechNatural Speech Generation
Speech to TextSpeech Recognition & Transcription

Intelligence

Core Intelligence Engine Behind Enterprise Workflows

Proprietary SLMs4B+ Parameters Domain Specific Models
Cultural IntelligenceRegional Context & Language Nuance
Memory layerContext, Tone & User Persona
RAG SystemsEnterprise Knowledge & Grounded Responses
Compliance AwareRegulated & Compliant Processing

Build multilingual products faster without building language AI in house

Whether you're building new or extending an existing product, plug into the language infrastructure already running inside India's largest enterprises.

Developers

Build Language Native Applications

Start Building
Build on three integrated layers
Go live with language integrations
Govern every workflow, audit ready
Deploy across cloud, VPC, on prem

ISVs & Partners

Extend Your Product
with Language Intelligence

Partner with Us
Embed language infrastructure layer
Add multilingual experiences in weeks
Automate context aware CX
Skip building language AI in house

Resource hub

Explore The Latest Blogs, Case Studies, And Resources

How to Ensure KFS Compliance Under RBI Guidelines
Blogs

How to Ensure KFS Compliance Under RBI Guidelines

Learn how to ensure KFS language compliance under RBI's new lending guidelines. Discover banking document translation best practices, Indian language AI, and audit-ready multilingual workflows.

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Top 10 Voice Recognition Software in India in 2026
Blogs

Top 10 Voice Recognition Software in India in 2026

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How Do Domain Language Models Power Conversational AI Voice Bots?
Blogs

How Do Domain Language Models Power Conversational AI Voice Bots?

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See All

Frequently asked questions

Everything runs inside India, the hosting, the governance, and the data. Nothing leaves the country, nothing sits with a third party, and every action is logged and traceable. That's what lets enterprises call Devnagri a sovereign AI platform instead of just another vendor with a privacy policy.
Voice bots, chatbots, speech-to-text, text-to-speech, document translation, website translation, and OCR all sit on the same language AI infrastructure underneath. So instead of stitching together five vendors, enterprises plug into one system that already talks to all of them.
This is where the translation layer gets smarter, tone that shifts with context, responses trained on the specific domain they're answering for, personalization that doesn't feel bolted on. It's the part of Devnagri's AI language technology that most competitors skip because it's hard to get right.
It has to. Banks and government bodies don't get to "figure out compliance later"; instead, Devnagri builds audit logs and governance checks into the workflow itself, mapped to RBI, SEBI, IRDAI, and DPDP requirements. That's non-negotiable for BFSI and government deployments.
Most companies hit a wall once they're past 3-4 languages, separate tools, separate teams, separate headaches. Devnagri's Language Infrastructure Layer handles 40+ languages from one place, so scaling to a new region means a config change, not a new vendor contract.
Ready to build a language AI platform for your business background

Ready to solve your Language Usecases?

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