Northeast India · AI Deployment Lab · Shillong, Meghalaya
AI that works
where it matters.
We build and deploy language AI for Northeast India’s 220+ indigenous languages, from government services to offline community tools.
Lemka · Voice AI
Speech intelligence for Northeast India
Speech-to-text and text-to-speech for Northeast Indian languages, built to run securely on your own infrastructure.
STT + TTS across 7 languages
Speech-to-Text
Real-time transcription across all 7 languages, tuned for regional accents, code-switching, and low-bandwidth environments.
Text-to-Speech
Natural-sounding voice generation across the same 7 languages, running fully on your infrastructure, no data leaves the deployment.
Licensing
- Software license, per deployment or on-prem
- Implementation and setup
- Annual maintenance contracts
- Language and dialect optimization
Who we work with
01
Government & Public Sector
Multilingual citizen services, document processing, and offline-capable public tools — compliant with Indian data governance standards.
Explore Government Solutions →
02
Enterprise & Business
Localized deployment and runtime licensing for regional businesses, from BFSI to logistics, retail, and beyond
Start Building →
03
Developers & researchers
Open datasets, pretrained models, and co-authorship opportunities at ACL, EACL, EMNLP. All models released under CC-BY-4.0.
View publications & datasets →
Real deployment.
Not just research output.
Every model we build is designed for Northeast India’s real conditions — low connectivity, regional scripts, and multilingual contexts that global AI ignores.
Offline-capable models for areas with limited internet access
Government document processing in Khasi, Garo, Mizo, Kokborok and Meitei
Voice interfaces that work in local languages, not transliterated English
Built in the open
Open source. For everyone.
All foundational models are freely available on HuggingFace and listed on AIKosh, India’s National AI Repository.
Free to download and use: research, education, and product development, no restrictions
Peer-reviewed research: open source models backed by a published or submitted paper at ACL, EACL, EMNLP
Community datasets collected with consent, annotated locally, and shared openly
The NE-Stack
NE-ASR
8 languages · Whisper-medium fine-tuned
NE-OCR
9 scripts · 95.51% accuracy · ViTSTR-Base unified model
Kren – M
Bilingual (Khasi–English), Generative Language Model. ~2.6B params
NE-BERT
Also open-source: NE-Trans · NE-CLIP · NE-LID · NE-MultiSpeech · NE-SpeechEmbed
Ready to deploy AI
in your language?
Government departments, NGOs, developers, researchers; we work with all of them. Let’s talk about what you’re building.