Raster models give you pixels
Flat grids that blur the moment you scale them. A dead end for UI, branding and manufacturing.
Generative Vector Graphics
Bypassing the pixel.
Building the vector.
ZeroPixel is a generative AI platform that natively produces elegant, factorized, production-ready SVG vector graphics. Clean, editable and infinitely scalable.
- 100%vector-native
- 0raster steps
- $10B+market
The problem
AI generates graphics you can't use
People don't reach for vectors to get a file format, they reach for them to get something they can actually work with: recolor, restyle, resize, ship. Current generative models ignore that. They brute-force a visual approximation and hand you a file that breaks the moment you try to edit it.
What "factorized" means
A factorized SVG expresses a shape with the fewest, most semantic elements:
a circle as one <circle>, not 200 Bézier points. It stays small, editable and reusable.
Vector isn't the deliverable
A traced SVG is technically a vector — thousands of nodes, no structure — and still unusable. The format was never the point. Editable, factorized geometry is.
Vector models give you the wrong SVG
They output thousands of redundant nodes instead of real geometric structure.
An SVG isn't the same as editable
A traced vector has the right file format but none of the benefits: no clean layers to theme, animate or ship.
The cost lands on builders
Designers and developers burn hours re-drawing machine output that was meant to save them time.
The solution
Elegant, factorized SVG by design
ZeroPixel predicts clean geometric commands, not pixels or brute-forced approximations. Every output is production-grade from the first render.
Clean topology
Minimal nodes, semantic primitives, human-editable output. Derived from the continuous representation, never a raster approximation.
Factorized structure
Reusable components and logical grouping instead of thousands of redundant points.
A metric baked into the model
A custom topology-cleanliness score is a regularizer in the cost function. It mathematically forces efficient geometry.
Fits your workflow
Injects directly into Figma, VS Code and React, where designers and developers already work.
See the difference
From brute-force to factorized
The same shape, generated two ways. Switch to compare topology, weight and editability.
Hundreds of redundant nodes. Practically impossible to edit.
- Nodes
- …
- File size
- …
- Editable
- …
Market & competition
A market waiting for production-grade AI
$10B+
Global graphic design software market, with generative AI as a massive multiplier.
Our wedge
“Stripe for vector generation.” Competitors can already output an SVG; we output one you can actually edit. We win on mathematically perfect path generation and open integrations for the modern developer stack: React, VS Code and Figma.
| Capability | ZeroPixel | Raster-and-trace tools | Walled-garden suites |
|---|---|---|---|
| Clean, factorized topology | Yes | No | No |
| Native vector output | Yes | Partial | Yes |
| Open integrations (Figma, VS Code, React) | Yes | Partial | No |
| No vendor lock-in | Yes | Yes | No |
Team
EPFL mathematics, applied to machine learning
Our founding team is composed of EPFL students studying mathematics. We build novel AI architectures from first principles.
Jeremy Digard
Co-founder · EPFL Mathematics
Laidlaw Scholar.
From formalizing proofs with a Fields Medalist to optimizing O(1) algorithms, Jeremy builds ZeroPixel's mathematical foundations. He ensures our AI generates perfect geometric structures, develops topological quality metrics.
Build with ZeroPixel
Interested in the beta, a partnership or an integration? We'd love to hear from you.