Pioneering AI that speaks every Indian voice — regional, inclusive, and open
Thore Network Pvt. Ltd., a leading AI and Web3 innovation company, proudly announces the development of its Indic Language Large Language Model (Indic LLM) under the ambitious India AI Mission – Bhashini, with a mission to bridge India’s linguistic divide using responsible, accessible AI.
This strategic initiative aligns with the Government of India’s vision to build India-first foundational AI models that empower over 1.4 billion citizens through native language technology.
Project Highlights:
- Supports 22+ Indian Languages: Including Hindi, Tamil, Bengali, Marathi, Telugu, Kannada, Urdu, and tribal dialects.
- AI-Powered Voice, Text & Visual Interface: Tailored for rural, semi-urban, and non-English-speaking users.
- Built on Thore Network’s GPU Credit Marketplace: Leveraging decentralized compute resources to train LLMs efficiently.
- Open Source + Blockchain Verified: Language models hosted with transparent training data and usage logging for ethical deployment.
Objectives:
- Digital Inclusion: Ensure every Indian, regardless of literacy or language, can access government, education, and financial services in their native tongue.
- Public Infrastructure: Build Indic LLMs as part of India’s national digital commons — like roads and railways — but for data and language.
- AI for Bharat: Support the creation of AI-powered chatbots, assistants, and voice-based tools across agriculture, healthcare, legal aid, and education.
Key Features of Thore Network’s Indic LLM:
Multi-lingual & Multimodal Support:
- Covers 22+ Indian languages and dialects
- Text, voice, and image input/output interfaces
- Focus on vernacular expressions, idioms, and code-mixed inputs
Public-Utility Driven:
- Optimized for citizen services: agriculture, healthcare, education, legal aid
- Can power chatbots, call centers, helpdesks, and mobile-based government schemes
Runs on Indian Infrastructure:
- Trained via Thore Network’s GPU Credit Marketplace, a made-in-India compute infrastructure
- Deployed on hybrid (on-prem/cloud) stack with logging, privacy, and ethics-by-design approach
Open, Auditable, and Federated:
- Source contributions and datasets to be submitted to Bhashini repository
- Can operate under federated model with NIC data centers and state digital stacks
- Model logs can be verified using blockchain to ensure provenance and fairness
Proposed Use Cases for Bhashini & NIC Integration:
- Indic Transcription & Translation Engine: For judicial, land records, RTI, and health records digitization
- Voice AI for BharatNet & PM-WANI: Regional voice bots for rural broadband helplines and CSC services
- AI Textbooks & E-Gov Services: Curriculum AI, voice-first e-learning apps, and AI agents for DigiLocker, Jan Dhan, Kisan apps
- Mobile SDKs & APIs: Plug-and-play language API layer for state governments, startups, and NGOs
Thore Network’s Commitment:
We are ready to donate datasets and codebases to the Bhashini open repository
We will work with language universities, IITs, and state nodal agencies to expand corpus
Our GPU compute network will be made available to government-backed AI training needs at subsidized or free cost under Digital India framework
From the Desk of Alok Kumar (Nikstrade), Founder – Thore Network:
“We envision our Indic LLM as a true citizen infrastructure — just like roads, railways, or electricity — except for the Indian voice and thought. We are committed to Bhashini’s vision and offer our full platform, compute, and AI expertise in service of Digital Bharat.”
Visit https://thoreai.info/
