An ELN is the memory of your lab. ReactWise is the intelligence layer on top of it - turning that memory into actionable decisions for every future campaign.

An ELN is the memory of your lab. @ReactWise is the intelligence layer on top of it - turning that memory into actionable decisions for every future campaign.

Storing data and making intelligent decisions with it are two very different things.

What we keep hearing from clients is this: "We have years of experimental data sitting in our ELN. We know it's valuable. We just can't search across it, build models from it, or use it to make smarter decisions going forward."

That gap between data that exists and knowledge that's actionable is exactly where ReactWise sits.

Through direct API integration, ReactWise pulls data straight from your ELN, structures it automatically, and turns your historical campaigns into a warm start for your next optimization. 

No manual exports. No reformatting. No starting from scratch.

That historical data becomes prior knowledge for your optimization campaign. It informs your HTE plate design. It feeds transfer learning models that get smarter with every campaign your team has ever run - not just the ones you're running now.

This is what we mean by the intelligence layer. Not a replacement for your existing infrastructure - but the system that sits above it, connects it, and turns years of stored experiments into something your team can actively learn from and act on.

ELNs and ReactWise aren't competing for the same job. They're doing different jobs - and together they're significantly more powerful than either one alone.

If your organization is sitting on years of experimental data in an ELN and wants to put it to work - we'd love to show you what that looks like in practice. Link in the first comment.

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