Edge intelligence · Made for Bharat
Frontier AI, on the phone already in their hand.
EfficientAI Labs compresses cutting-edge language models until they run entirely on low-cost edge devices — no cloud, no connectivity, no data leaving the phone. Because the next billion users won't come to the datacenter. Intelligence has to go to them.
The mission
AI's next frontier isn't a bigger model. It's a smaller one, everywhere.
Cloud AI structurally cannot reach the people who need it most — students without connectivity, families without subscriptions, villages without infrastructure. We make small models do frontier work on hardware the underserved already own.
No cloud required
Every capability ships in the weights and runs on the device. Connectivity becomes an optional extra for updates — never a dependency for intelligence.
Radically efficient
Task-specialized fine-tuning, aggressive quantization, and deterministic model routing squeeze frontier-grade competence into a few gigabytes of RAM.
Built for the underserved
We design for the cheapest phone in the market, the language spoken at home, and a privacy standard a parent can verify: nothing ever leaves the device.
ShikshaPal — an honest, offline AI tutor for every Indian student.
Three fine-tuned small language models orchestrated on a single budget phone deliver NCERT-aligned tutoring to students that every cloud incumbent structurally cannot reach. Offline, Indic, honest, and free.
Offline NCERT tutor
Explains any syllabus concept at the right class level, grounded in the textbook via on-device retrieval — with zero connectivity.
Honest by design
Grounding and confidence gates make it say “I don't know” instead of hallucinating — every answer labeled: from your textbook, unsure, or unknown.
Socratic guidance
A tutoring state machine leads students to the answer step by step with hints and probes, instead of handing solutions over.
Every major Indian language
Tutoring at NCERT depth in the languages students actually think in — including the code-mixed Hinglish they actually speak.
Mastery maps & spaced practice
Micro-knowledge-point tracking per chapter, adaptive difficulty, flashcards, and weak-spot memory that closes gaps over weeks, not minutes.
Private by architecture
No accounts, no uploads, no analytics. A child's questions and progress live encrypted on the family's phone — and nowhere else.
The technology
A specialist team of small models, not one giant generalist.
Our edge stack turns three locally fine-tuned SLMs into one coherent intelligence: a deterministic router sends each request to the right specialist, retrieval grounds every answer in trusted local content, and verification gates keep the system honest.
Fine-tune
Domain-specific SFT tunes each model for its job: math reasoning, pedagogy, Indic dialogue.
Quantize
4-bit weights and tuned KV caches fit specialist competence into commodity RAM.
Route
A fast deterministic classifier picks the right model per request — explainable, testable.
Verify & cite
On-device RAG plus confidence gates: cited answers when sure, honest abstention when not.
Qwen 2.5 Math
Step-by-step mathematical reasoning with deterministic re-derivation checks on every numeric claim.
- FINE-TUNENCERT solutions, tutor voice
- DUTYsolving · verification
- FOOTPRINT~1 GB quantized
Phi 3.5
Explanation, Socratic dialogue, quiz and flashcard generation, misconception analysis.
- FINE-TUNEgrounded QA + citations
- DUTYteaching · assessment
- FOOTPRINT~2.3 GB quantized
Gemma E2B
Indic and code-mixed tutoring, image understanding, and the universal fallback for the lowest-end phones.
- FINE-TUNEIndic + multimodal SFT
- DUTYlanguages · vision · fallback
- FOOTPRINT~1.8 GB quantized
The scale of the problem
The revolution is offline.
These aren't vanity metrics — they are the design constraints we refuse to compromise on.
Partner with us
Help us put an honest tutor in a few hundred million hands.
We work with schools, NGOs, state education programs, device makers, and mission-aligned investors. If you serve learners the cloud can't reach, we should talk.
efficientailabs@gmail.com → Pilots & partnerships · write to us — we read everything.