India's first
community-powered
AI network.
200 million laptops sit idle across India every day. Sangam connects them into a peer-to-peer AI network that runs 70B-parameter models via swarm inference, lets you fine-tune private LoRA adapters on your own data, and opens a marketplace where you can sell what you've trained. And when you need raw firepower — the world's best frontier models (Claude Opus, GPT-4o, Gemini 2.5 Pro) are bought in bulk and resold at fair credit prices. No $50,000 GPU required. No data colonialism.
India's AI future can't depend on three US companies.
Indian laptops sit idle most of the day. Sangam puts them to work — no new hardware needed.
Official Indian languages, most underserved by GPT/Claude/Gemini. Sangam is Indic-first by design.
No GPU rental to run a 70B model. Pay in credits you can earn by sharing your own laptop.
Your training data stays on your machine. Federated learning means only LoRA adapters are uploaded.
How Sangam works.
Lend your laptop — earn credits.
The Sangam node-client is a tiny Python program (~12 MB). Install it, paste your worker token, and let it run in the background. Your CPU/GPU becomes part of the swarm — your machine holds a few transformer layers of Llama 3 70B while 20 other laptops hold the rest. India's first Petals-style fork (BigScience architecture), built for Indian bandwidth.
⏱ Every minute online = 2 credits (GPU-equipped laptops earn 4×). 7 hours running → 840 credits → 30+ free model queries.
Spend credits on the world's best models.
Your credits unlock the entire Sangam model bazaar — both community-served open models (Llama 3 70B, Mixtral, Sarvam-1, Airavata) and frontier commercial models we buy at wholesale and resell (Claude Opus 4.7, Claude Sonnet 4.6, GPT-4o, Gemini 2.5 Pro, DeepSeek R1, Mistral Large, Grok 4). One login, one balance, every major LLM on the planet.
✦ Open Llama 70B = 25 credits / 1k output tokens. Claude Opus 4.7 = 240. GPT-4o = 60. Sarvam-1 (Hindi) = 4. Always 30-70% cheaper than buying direct.
Fine-tune your own LoRA — on your own laptop.
20 chartered accountants can co-train a LoRA on their ITR documents. 50 doctors on their OPD notes. 30 lawyers on contract drafts. Federated learning means the raw data never leaves any laptop — only the merged LoRA adapter (10-100 MB) is uploaded. Built on Flower + HuggingFace PEFT with India-friendly licensing.
⚒ Training cost = 50 credits base + 1 credit per MB × epochs. 25-credit completion bonus when the job finishes.
Marketplace — sell your LoRA, buy others.
"Tax-AI for CAs" — 200 credits. "Class-12 Physics tutor in Hindi" — 50. "Indian rent-agreement reviewer" — 150. This is the Hindi HuggingFace — but for Indian creators, with Indian payment rails. Sellers keep 90%; Sangam takes a flat 10% network fee. Sellers also earn royalties on every inference run against their LoRA.
₹ 10% network fee. No HuggingFace account needed — just Glixy login.
20 laptops = 1 supercomputer.
Petals → India-fork.
A 70B model is split into ~80 transformer layers. Each laptop holds 3-4 layers. Your prompt travels through the swarm — every node computes only its slice; the full model is never reconstructed in one place. Token latency: 2-5 seconds (good enough for chat).
Inference works today. Training doesn't — that's what federated LoRA is for. This combination — peer-to-peer inference plus federated training plus a creator marketplace — has never been deployed India-first before.
Sangam works for you if you're…
Developer / Indie hacker
Build on Llama 70B or Claude Opus without a $1,000 OpenAI bill. SDK-style API.
Student / Researcher
Earn GPU credits by running your laptop. Your thesis or side-project runs free.
CA / Doctor / Lawyer
Train a private LoRA on your domain — ITRs, contracts, case notes — without leaking data.
EdTech / Tutor
Build Hindi-medium subject tutors — Class 12 Physics, NEET Biology, UPSC prep.
Small business
Fine-tune on your products and FAQs → ship a WhatsApp customer-care bot. No per-call API fee.
Anyone in India
Sangam's backbone is Indian laptops. Every minute you contribute is a vote for sovereign AI.
500 free credits on signup.
Start in 5 minutes.
Create a Glixy account → open the Sangam dashboard → lend a laptop (optional) → chat with Llama 70B or Claude Opus. Done.
Bittensor-style token economics, but India-legal and RBI-compliant. No crypto — just in-network credits.