We started a software company. Then we set up a lab. And we've already generated over 25,000 data points. Here's why.

We started a software company. Then we set up a lab. And we've already generated over 25,000 data points. Here's why.

Most reaction datasets available today weren't generated under conditions that actually matter for your process. Wrong solvents and conditions you could never realistically scale up. 

The data looks useful until you try to act on it. That's the problem we set out to solve at ReactWise.

But behind our software platform sits a working HTE laboratory where we generate data every day, under process-relevant conditions, at high throughput. 

We don't just build tools for scientists - we use them ourselves.

Our lab is where we pressure-test our own software - running a live validation of our HTE Plate Designer and Optimizer against the complexity, noise, and surprises that real experimental conditions throw at you. This allows us to stress test features long before they reach you.

And the data we're generating is revealing genuinely interesting things. 

Take Buchwald-Hartwig couplings: Even for experienced process chemists, ligand selection is rarely straightforward and often doesn't follow an intuitive pattern. 

Without systematic, high-quality data, teams default to experience and intuition, burn cycles on broad exploratory screens, and still don't always land in the right place from the start. 

We ran an extensive high-throughput screen precisely to address this - so your team can start with the right ligand candidates from day one, not after several costly rounds of iteration.

That's what 25,000 data points looks like in practice. 

Not a vanity metric but a growing scientific asset built under conditions that reflect your reality.

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