One on-device model. Many native apps. Zero inference cost.
A mobile AI platform built for India — and the next billion users.
Apple Intelligence, Gemini Nano, and Snapdragon NPUs all signal the same thing: the next AI race is fought in silicon, not in datacenters.
Today's AI features feel magical — until your user is on the metro, the app crashes, the bill arrives, or the regulator calls. OEMs inherit all four.
3rdAI ships a single optimized model (Gemma-class, 2–8B, quantized) plus an SDK. Every app — first-party or third-party — calls it locally. Nothing crosses the SoC.
Every app in the OEM ecosystem shares the same on-device model. Each app contributes its own prompts, fine-tunes, and tools — but inference happens once, in one place.
Commercial-grade music generation now runs directly on handset NPUs, making “create a song” a native feature instead of a cloud-only add-on.
High handset volume, uneven bandwidth, price-sensitive users, and 22 official languages. Cloud AI penalizes all four. On-device removes them.
Internal benchmarks, Snapdragon 7-Gen-3 reference device, Gemma-2B Q4 via 3rdAI runtime, vs. typical hosted Llama-3-8B endpoint over 4G.
| Metric | Typical cloud LLM app | 3rdAI on-device | Delta |
|---|---|---|---|
| First-token latency | ~900 ms | ~50 ms | 18× faster |
| Reliability on weak network | Fails / times out | Identical to full bars | 100% uptime |
| Cost per million queries | ~$1,800 | $0 | ∞ better unit econ |
| Battery drain (10-min session) | 4.2% (radio + cloud) | 3.8% (NPU) | Comparable |
| Quality ceiling | Frontier (GPT-4-class) | Mid-tier (8B-class) | Trade-off — see slide 13 |
Once 3rdAI ships in the OS, every Indian developer gains a free, fast, private LLM endpoint they didn't have to host. The OEM becomes the default AI rail.
Every handset ships with the full 3rdAI stack working — for free, forever. The Pro tier unlocks the larger model, premium adapters, and richer features.
Conversion benchmark: 6–9% to Pro within year 1, based on comparable on-device productivity SKUs.
| OpenAI / ChatGPT | Apple Intelligence | Gemini Nano (Pixel) | 3rdAI | |
|---|---|---|---|---|
| On-device | Cloud only | Hybrid | Yes | Yes |
| Multi-app SDK | API only | Apple apps only | Closed beta | Open SDK |
| Available on Android <flagship | Yes | No | Pixel 8+ only | $150 handsets |
| Indian language depth | Decent | Minimal | Decent | Native, 12 langs |
| OEM revenue share | None | N/A | None | Up to 70% |
A bounded six-month pilot to prove the platform on a single SKU — with a clear path to default-installation across the lineup.
Let's make Ai+ the first OEM in India to ship it by default.