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Where intelligence manifests.

Sovereign · Scalable · Sustainable

One sovereign AI stack for speech, translation, LLMs, sign language, edge devices and multilingual assistants, built for every Indian language and your own infrastructure.

Overview

One AI stack.
Every Indian language.

Sovereign · Scalable · Sustainable

Q 369 Systems Private Limited is a Bangalore-based AI company building India-first speech, language, conversational, generative and vision AI for governments, public institutions and enterprises. Every model is accurate on real Indian data, efficient at national scale and deployable entirely inside your own infrastructure.

The Q369 sovereign AI stack: six services around one coreQ369SovereignAI stack01Speech AI02Translation03LLM & GenAI04Sign Language05Edge & IoT06Voice & ChatService 01Indic Speech AIASR, TTS and real-time streaming speech with state-of-the-art WER and optimised inference.85× faster than real time · 250 ms time-to-first-audio (p90)Learn more →Service 02Indian Language TranslationLayout-preserving document translation, web localisation and voice translation.Layout preserved across PDF, DOCX, PPTX and scansLearn more →Service 03LLM Inference & Custom GenAIHighly optimised LLM serving on your infrastructure, and GenAI built on your data.FP8 / INT8 / INT4 serving · OpenAI-compatible API · no external callsLearn more →Service 04Indian Sign LanguageNear real-time 3D avatar rendering of speech and text into ISL.Under 50 ms on a plain CPU · deployed for a major Indian railway zoneLearn more →Service 05Edge & IoT MLCompact models running on devices, cameras and sensors, even offline.INT4 models at ⅛ the memory · works fully offlineLearn more →Service 06Multilingual Voicebot & ChatbotIntegrated voice and chat assistants across phone, WhatsApp, web and app.Phone, WhatsApp, web and app · thousands of concurrent conversationsLearn more →
6+ yrs
Deep hands-on experience in ML & deep learning
10+
Indian languages across speech & translation
6
Core AI services, one integrated stack
On-prem
Air-gapped, private cloud & edge deployment

Proven in production

What < 50 ms meansFaster than two video frames at 30 fps (33 ms each), so signing keeps pace with a live announcement on ordinary hardware, without a GPU.
Indian Sign Language translation on a plain CPUDeployed for a major Indian railway zone
What 250 ms meansThe voice starts speaking within a quarter of a second. p90 means 9 out of 10 replies start at least this fast, so conversations feel instant.
Streaming TTS time-to-first-audiop90, natural Indian voices
What 85× meansAn hour of audio is processed in about 42 seconds (3,600 s ÷ 85), so large call archives and broadcasts can be transcribed in minutes.
Faster than real-time speech processingOptimised, high-concurrency inference

Our team brings over six years of deep experience across machine learning and deep learning (speech recognition and synthesis, neural machine translation, large language models, computer vision and 3D motion, and production model optimisation), taking research-grade AI into dependable, cost-efficient deployments.

10+ Indian languages, plus English and Hinglish

  • Hindiनमस्ते“Hello” · namaste
  • Tamilவணக்கம்“Hello” · vanakkam
  • Teluguనమస్కారం“Hello” · namaskaram
  • Kannadaನಮಸ್ಕಾರ“Hello” · namaskara
  • Bengaliনমস্কার“Hello” · nomoshkar
  • Marathiनमस्कार“Hello” · namaskar
  • Gujaratiનમસ્તે“Hello” · namaste
  • Malayalamനമസ്കാരം“Hello” · namaskaram
  • Punjabiਸਤ ਸ੍ਰੀ ਅਕਾਲ“Hello” · sat sri akal
  • Odiaନମସ୍କାର“Hello” · namaskar
  • English · Hinglish

Why Q369

Built for national priorities and public-sector scale.

  1. 01

    Data & model sovereignty

    Data and models stay under Indian control and your governance.

  2. 02

    Language & accessibility

    Indian languages and ISL for truly inclusive services.

  3. 03

    Cost-efficient at scale

    Optimised inference makes nationwide rollout practical.

  4. 04

    Deploy anywhere

    Cloud, on-premise, air-gapped and edge.

How we deliver

  1. 1DiscoverMission, users, data & constraints
  2. 2BuildDevelop & fine-tune for the use case
  3. 3OptimizeCompress & validate on target hardware
  4. 4Deploy & SupportIntegrate, go live & keep performing

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Let’s build India’s AI together.

Tell us about your mission, users and data. We'll get back within 2 business days.