Free trial vs paid pilot: evaluating formulation software with your own formulas

A polished demo on the vendor's sample data tells you the software works — for them. The only test that tells you it works for you is your own formulas, your own markets, your own documents, in the tool. Two ways to run that test are a free trial and a paid pilot, and they suit different situations. Here's how to choose and how to make either one prove something real.

What a free trial is good for

A free trial is low-commitment and fast: you get in, build a formula or two, see the compliance checks and generated documents, and judge the feel of the tool. It's ideal for an early filter — confirming the basics work, the interface suits your team, and it handles your kind of product — before investing more. The limit is depth: on your own in a short trial, you'll test a slice, not your whole operation.

What a paid pilot adds

A paid pilot is a deeper, structured evaluation, usually with vendor support: you migrate a real set of your formulas and ingredients, run genuine products end to end across your markets, generate the documents you actually use, and test the integrations and workflows that matter. It costs something, but it answers the real question — does this work for our products at something like real scale — rather than just ‘can I build one formula.’

Which to choose

Match the method to the stakes. For a smaller catalogue or an early look, a free trial may be all you need to decide. For a larger or more complex operation, or a decision with real switching cost, a paid pilot that proves the tool on your actual data is worth the investment — it de-risks a much bigger commitment. Often the sensible path is a free trial first to shortlist, then a pilot to confirm.

Make either one test your reality

Whichever you run, use your own formulas, not the sample set. Bring a product with the ingredients, markets, and claims that actually challenge you, and check the things that matter: are the calculations right, does it catch a real compliance issue, are the generated documents usable, does it fit how your team works. An evaluation on real, hard cases is worth ten on easy demo data.

Where Lemoniq fits

Lemoniq is meant to be evaluated on your own formulas — build your real products, see the compliance checks and generated documents on them, and, for a deeper look, bring a set of formulas across via bulk import to run a proper pilot at something like real scale. The goal is to let the tool prove itself on your reality before you commit.

The takeaway

The demo proves the software works for the vendor; a trial or pilot on your own formulas proves it works for you. Use a free trial to filter quickly and a paid pilot to confirm at real scale where the stakes justify it — and in both, test your hardest real products, not the easy sample data. Prove value on your reality before you roll out.

Lemoniq lets you evaluate on your own formulas — trial the basics, pilot the real thing. See how it works