"Our historical reaction data is our most underused asset, and we know it." That's a direct quote from a Head of Process Chemistry I spoke with recently.
"Our historical reaction data is our most underused asset, and we know it." That's a direct quote from a Head of Process Chemistry I spoke with recently.
And it's not for lack of effort.
The data exists - years of it.
But it's scattered across CSV files, Excel sheets, Word documents, and PDFs, each with their own structure, or lack of one.
Nobody has the time to manually go through hundreds of files, reconcile inconsistent formats, and extract something meaningful.
So it sits there. Untouched.
Compounding as debt rather than as knowledge.
We built something at ReactWise to fix exactly this.
You can now drop in your unstructured files, whether that’s Excel or CSV, directly into the platform.
We extract the data, recreate the experimental campaign behind the data, and allow you to rapidly visualize what you actually ran.
More importantly, that historical data becomes effective prior knowledge for your future campaigns.
Your ML models don't start from scratch - they start from everything your team has already learned - including institutional knowledge that too often disappears when team members move on.
It’s not just a productivity gain.
It's a compounding advantage - every past experiment making the next one smarter.
Sound familiar? Let's talk and drop me a message.
