01
On-device first.
Every surface runs as much as possible on the device. Lower latency. Lower cost. Privacy by physics, not policy. The cloud is a fallback, not the architecture.
Now scaling consumer AI Apps
Build the next
interface for intelligence.
GenEye AI Labs is a Canadian AI research lab and product studio building the consumer applications fit for the next generation of artificial intelligence. Across every surface where humans meet AI — and every one that hasn't been invented yet.
We ship infrastructure, not demos.•
Privacy is a feature, not a setting.•
On-device first, cloud when it earns it.•
Whatever interface comes after, we'll build it.•
Fit for use. Fit for purpose. Fit for AI.•
Model-agnostic. Surface-obsessed.•
One lab. Many surfaces.•
FILE / 01
03 SURFACES · Q2 2026
Product matrix.
SURFACE / 01
LIVE
MoltSearch
// PARALLEL COUNCIL · 10 MODELS
Query 10+ frontier models in parallel. Run them as individuals or convene a Council — a multi-model debate that returns a synthesized answer. 1,100+ expert personas, OpenAI-compatible developer API, zero-trace mode.
- Web · iOS · Android
- 10 models
- 1,100+ personas
moltsearch.ai →
Open file
SURFACE / 02
OPEN SOURCE
MoltBrowser
// AGENTIC WEB · OPEN SOURCE
A browser the AI wave actually needs. A web-standard core, an embedded local model, an agent identity layer on top. Acts on your behalf. Doesn't snitch on you. Incognito-by-default. AI address bar. Built-in privacy. Fully open source.
- macOS · Windows · iOS · Android
- Local + cloud
- Built by AI agents
github.com/.../MoltBrowser →
Open file
SURFACE / 03
PRIVATE BETA
Headsupp
// DIGITAL TWIN · <500MS
WhatsApp for digital twins. Everyone builds a photoreal avatar of themselves — voice, face, memory — that friends can text, call, or video-call when you can't. Sub-500ms latency. On-device first. Creator monetization built in.
- iOS · Android · Web
- <500ms loop
- Phone-only auth
headsupp.app →
Open file
FILE / 02
YESTERDAY → TOMORROW
The disruption matrix.
Surface
Yesterday
Tomorrow · GenEye
Search
MoltSearch · 10 models in parallel · Council debate · auditable disagreement
Browse
MoltBrowser · Agent drives · Private by default · Local LLM, local memory · Open source
Connect
Headsupp · Your twin answers when you can't · Voice · video · monetizable
+ Next
+1 / year · We ship the next consumer surface as soon as it earns shipping
FILE / 03
The thesis.
Every consumer app you use today was built for a world without intelligence at the edge. The browser, the search bar, the assistant, the inbox, the maps, the messaging app — every digital surface was designed before AI could think alongside the user. None of them know who you are, what you're doing, or what you actually need.
GenEye AI Labs is rebuilding the interfaces, not the models. We build the consumer applications fit for the next generation of artificial intelligence — across every surface, every domain, every interface where a billion people will meet intelligence. The labs that train foundation models do their work; we build the products people will actually use when those models become commodity.
Three products today. Many more tomorrow. The category isn't "AI search" or "AI browser". The category is "applications fit for AI" — and we plan to ship one for every surface that earns it.
FILE / 04
5 LAYERS · WE ARE LAYER 5
Where we sit.
NVIDIA frames modern AI as a five-layer cake — Energy at the foundation, then Chips, then Infrastructure, then Models, and at the very top, Applications. GenEye AI Labs operates exclusively at Layer 05 — the consumer-application surface where economic value is realized and a billion people will actually touch AI. Our triangle isn't decorative; it's where we stand.
-
05
Applications GenEye lives here
Consumer surfaces. The interfaces a billion people will use. Where economic value is realized.
-
04
Models
Frontier models for language, vision, biology, the physical world. The lab work that becomes commodity.
-
03
Infrastructure
AI factories. Power delivery, cooling, networking, orchestration of thousands of processors.
-
02
Chips
Processors converting energy into computation. Parallelism. Memory bandwidth. The silicon floor.
-
01
Energy
The first principle. Real-time intelligence requires real-time power. The foundation under everything.
Framing borrowed from NVIDIA's "five-layer cake" of modern AI. GenEye AI Labs operates exclusively at Layer 05 — Applications. The eye in our mark sits at the wide top of an inverted triangle: at the point of consumption, where humans meet intelligence.
FILE / 05
FOUR LOAD-BEARING BETS
Why we win.
02
Model-agnostic.
We don't bet on one foundation model. We route across 10+. When the frontier shifts — and it shifts every 90 days — our users get the upgrade for free.
03
Consumer surface obsession.
The labs that train models don't build for consumers. We do. Pixel-level craft, real onboarding, real retention loops — the things that turn a model into a product.
04
Built by AI, shipped by humans.
Our internal velocity is built on a fleet of AI agents that write, review, and ship code under a tight human spec. We ship like a 100-person team with the burn of ten.
FILE / 06
Build with us, back us, ship with us.
We're talking to a tight circle of investors, design partners, and operators who want to underwrite the consumer AI shift — not just the model layer underneath it. If that's you, let's talk.