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Workflows in pharmaceutical manufacturing are often data-hungry

January 30, 2025

Workflows in pharmaceutical manufacturing are often data-hungry, but many R&D teams are stuck working with small, noisy datasets.

Whether it’s chemical process optimization, process scale-up, or troubleshooting, chemists often don’t have the luxury of running hundreds of experiments to generate large datasets.But here’s the good news: You don’t need big data to achieve significant insights.

At ReactWise, we’ve built an AI platform with Bayesian Optimization at its core — a technique that’s well suited for small data problems.It’s designed to work with limited, high-uncertainty data, guiding chemists toward the most promising experiments faster than traditional methods.

We don’t just rely on your data — we can kickstart your process optimization by leveraging our proprietary reaction database and pre-trained models.

Our high-quality datasets, generated through high-throughput experimentation (HTE) campaigns, allow us to support clients even when they have very few data points.

What does it mean?

- Faster optimization

- More reliable predictions

- Fewer experiments needed to achieve process breakthroughs.

Imagine you’re optimizing a reaction yield. Instead of running 200+ experiments to identify the ideal temperature, solvent, and catalyst, ReactWise helps you get there in as few as 15-30 experiments.

With smart, data-driven suggestions after every experiment, we help chemists:

✅ Focus on what matters

✅ Avoid dead-end conditions

✅ Extract maximum insights from minimal data

The data scarcity problem in pharma is real — but it's solvable.

Machine learning tools like ReactWise empower R&D teams to unlock significant process improvements with the data they already have — or by leveraging our proprietary models and datasets.

If you’re struggling to optimize your reactions with limited experimental data, maybe it’s time to rethink your approach.

You don’t need exhaustive experimentation — you need smarter experimentation.

Let’s stop worrying about the lack of data and start focusing on what’s possible.

Ready for the next step in your optimization journey?

Do you have questions, need more information about our chemical process?