16:9 Investor Deck Summary

AI-for-All is reducing the GPU tax in AI.

AI-for-All is building edge-first inference infrastructure that routes each query to the cheapest capable layer. The result is lower cloud spend, lower latency, stronger privacy, and access for the next billion AI users in data-constrained markets.

The problem

Cloud-first AI is too expensive for mass adoption in emerging markets. GPU inference costs remain high, connectivity is inconsistent, and mobile data is too expensive for many users.

The solution

AI-for-All uses a 70 / 20 / 10 routing model: most queries stay on-device, a smaller set uses optimized cloud inference, and only the most complex requests touch full LLMs.

Key investor points

~70% Lower cost versus cloud-only inference.
<50ms Edge-first latency for common interactions.
1B+ Future AI users in India, SEA, Africa and Latin America.

Why now

  • On-device models are becoming capable enough for common tasks.
  • Inference cost pressure is forcing architectural change.
  • Emerging-market adoption requires low-data AI experiences.

Current stage

  • Cloud inference live
  • Routing engine validated
  • Edge models in development