Transparency builds trust. Here is exactly where PurenetX is — what's complete, what's in progress, and what we're seeking.
PurenetX's long-term vision is to bring context-aware intelligence into camera systems, enabling privacy-preserving, on-device decisions that help prevent harmful visual content before it is created.
We have a validated framework and a concept prototype that demonstrates the decision logic — not a production inference engine. Real ML model training begins once pre-seed funding closes, in co-development with design partners (8–12 weeks per partner). We say this plainly because partners who join us now are building with us, not buying a finished product.
The path to production requires: inference engine training on real partner data, model validation, enterprise SDK refinement, and — longer term — camera API integration and OEM partnerships. These are Phase 2–3 roadmap items.
Target raise
$500K – $2M seed round
Use of funds
Engineering, partnerships, validation
Investor fit
Deep-tech, privacy, AI safety focus