Making materials, a new found way.

We unlock synthesis pathways to the world's most critical materials.

Find the right material. Then find the best way to make it.

Conventional materials R&D is expensive and slow. On average, it takes 10+ years and tens of millions of dollars just to bring a single new material to market.

Most materials fail long before commercialization, not because they're not useful, but because they're too difficult to make and produce at scale. Our tools change that.

Let us run your target compound through our AI-assisted materials retrosynthesis platform. We'll help you identify the most promising synthesis recipes to make it.

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How it works

Synthesis by design.

Predict pathways that work.
Optimize yield from the start.

We map the entire synthesis landscape, exploring millions of possible reactions, to identify the most direct, viable pathways for your target compound.

We help you design experiments that work, so you don't waste time on dead ends.

1. AI structure generation

Generate promising new compounds tailored to your desired properties using advanced atomic AI models.

2. Retrosynthesis engine

Search and rank thousands of synthesis routes using thermodynamic criteria and mechanistic feasibility models.

3. Virtual reactor

Predict lab outcomes before you experiment, using advanced cellular automata simulations that model real-world synthesis behavior.

4. Adaptive optimization

We collaborate to refine top-ranked recipes for maximum yield, minimal cost, and scalable production.

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The Hardest Step in Materials Discovery? Making the Material

Despite major advances in AI for predicting new materials, the real challenge lies in synthesis. Unlocking better recipes is the key to turning predictions into reality.