Menu

The three layer architecture platform

Connect omni channel customer experiences and enterprise workflows at scale with one language infrastructure layer.

Delivering native language experiences across every touchpoint

Devnagri’s three layer architecture connects every part of your language workflow, enabling organisations to build, deploy, and scale multilingual experiences with greater consistency and control.

Deliver Every Customer Interaction in Their Preferred Language

Build seamless, culturally intelligent experiences across every customer touchpoint.

AI Voice Agents

Automate natural voice conversations across customer support, sales and service journeys.

AI Voice Agents

AI Chatbot

Deliver instant, multilingual conversations across websites, apps and messaging channels.

AI Chatbot

Web Localisation

Multilingual website pages boosting local search, answers and generative engine optimisation.

Web Localisation

App Localisation

Embed language experiences into existing applications with no development effort.

App Localisation

Transform Enterprise Content into Intelligent Language Workflows

Convert enterprise content into structured, searchable and actionable language experiences.

Vision 360

Extract, understand and process multilingual documents with enterprise grade accuracy.

Vision 360

Translation APIs

Seamless neural machine translation.

Translation APIs

Transliteration APIs

Phonetic script conversion.

Transliteration APIs

Document Engine

Translate entire documents preserving layout and context.

Document Engine

TTS

Convert text into natural, human like speech across multiple Indian languages.

TTS

ASR

Transform spoken conversations into accurate, searchable, multilingual enterprise data.

ASR

Turn Enterprise Knowledge into Better Decisions

Power accurate, contextual and secure language understanding across every business workflow.

Domain SLMs

Deliver industry specific language intelligence trained for enterprise terminology and workflows.

Domain SLMs

RAGs

Generate accurate responses from enterprise knowledge with real time contextual retrieval.

RAGs

Security

Protect enterprise language workflows with secure, governed and compliant AI infrastructure.

Security

Built for enterprise language workflows

Language is at the centre of every customer interaction and business process. Devnagri helps enterprises build intelligent language workflows that scale securely across customer experience, operations and enterprise systems.

Workflow Orchestration

Workflow Orchestration

Create and automate language workflows across customer support, onboarding, operations and enterprise applications from one unified platform.

Domain Specific SLMs

Domain Specific SLMs

Deliver more accurate language understanding with AI trained on your industry's terminology, workflows and business context.

Compliance & Governance

Compliance & Governance

Keep language workflows fully traceable, with governed AI outputs and enterprise ready audit trails.

Cultural Intelligence Layer

Cultural Intelligence Layer

Deliver language experience that understands regional context, cultural nuance and customer expectations in every interaction.

Deployment & Security

Deployment & Security

Deploy securely across SaaS, VPC or on premise environments, without disrupting existing enterprise systems.

Analytics & Monitoring

Analytics & Monitoring

Track language workflow performance and customer engagement through centralised enterprise insights.

Frequently asked questions

There are three layers working together, customer experience, processing, and intelligence. Data moves through them in sequence: first the interaction, then the workflow automation, then the context-aware, compliant output enterprises actually see.
This is the layer that makes Devnagri exceptionally difficult to replace. It runs on proprietary SLMs trained across 750M+ data points, and it's what handles regional nuance, account-specific knowledge, and generation that's already aligned with RBI and DPDP requirements.
This is where the business first feels the impact. It covers voice agents, chatbots across WhatsApp, web and mobile, DOTA-powered website and app localisation, and onboarding or KYC journeys, all running in the customer's own regional language.
Sitting between the two, this layer takes messy enterprise data, contracts, KYC documents, and compliance files and turns them into structured, usable language input, using OCR, a document engine, translation and transliteration APIs, and speech-to-text.
The customer experience layer and the intelligence layer are directly connected, so tone, context and compliance stay consistent, no matter which language or channel a customer is using at any given moment.
Ready to build a language AI platform for your business background

Ready to solve your Language Usecases?