About Arvochem

We built the tool we always wished existed.

Process optimization, kinetics modeling, and reactor scale-up are well-understood techniques. The problem is that the tools to apply them are either scattered across disconnected Python packages, buried in enterprise suites, or require a dedicated computational chemist to operate.

Arvochem changes that. Arvochem is a desktop application that puts industrial-grade process development capabilities in the hands of every bench chemist.

What we believe

Data sovereignty matters

In pharma and CDMO environments, reaction data is IP. Arvochem runs entirely offline. Your data never touches our servers — or anyone else's.

Integration beats features

The most valuable thing we do is connect optimization → kinetics → scale-up in a single project file. Individual tools exist. A workflow that connects them doesn't — until now.

Flexibility beats rigidity

Every lab has different cost structures, equipment, and constraints. Arvochem's Cost Estimator is designed around this: custom line items, overridable defaults, arbitrary equipment types.

Time is the real cost

Every month of delayed scale-up costs more than any software license. Arvochem is built to compress the 18–30 month development cycle by eliminating rework, manual handoffs, and disconnected tooling — so your team spends less time iterating and more time scaling.

Better process understanding means less waste

Every unnecessary experiment consumes reagents, solvents, energy, and generates waste. Fewer experiments to reach optimal conditions, understanding your kinetics before scaling, and right-sizing your reactor the first time — better science is greener science.

Everything you need — in one place

Most tools cover one or two stages. Arvochem covers the full workflow in a single desktop application.

Optimization
Kinetics
Scale-Up
✓ FreeCost Estimation
Runs Offline
No stitching together separate tools for each stage
Fitted rate constants flow directly into reactor sizing — no re-typing
Your data stays on your machine — no cloud dependency
One project file from first experiment to cost estimate

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