Is Yoneda Labs worth it?
Yoneda Labs is listed on this directory under Biotech but has no user reviews yet, so there is no rating to judge it on. Check the product details below and the alternatives page before you commit.
This profile has not been claimed by the vendor, so the details here come from public sources rather than the company. Reviews are posted by users of this directory and are not edited by the vendor.
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Is Yoneda Labs legit or a scam?
Yoneda Labs is a real company that sells through its own site at yonedalabs.com. This directory has not flagged it as a scam, but a listing cannot prove a vendor is safe for your data or your budget. Most software scams run through lookalike domains and fake resellers, so run these checks before you sign.
- 1.Buy only on yonedalabs.com and check the checkout page shows the same company name.
- 2.If it will touch customer or company data, ask for a SOC 2 Type II report or a completed security questionnaire.
- 3.Start on monthly billing or a paid pilot before you commit to an annual contract.
- 4.Pay by card or invoice. A vendor asking for a wire or crypto up front is a red flag.
- 5.Read the low-star reviews first, then compare Yoneda Labs alternatives.
Yoneda Labs pricing
Yoneda Labs has not added plan prices to this profile, which usually means pricing is quoted after a demo. Check the pricing page on yonedalabs.com or ask for a quote, and get these four answers in writing:
- Price per seat, per usage unit, or flat, and the minimum you pay.
- Minimum contract term and whether it renews automatically.
- Setup, onboarding or integration fees.
- The cap on price increases at renewal.
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Yoneda Labs Product Details
About
Yoneda Labs provides software to help chemists optimise reactions. When chemists make a drug or a material, we help them figure out the best reaction parameters such as temperature, concentration and catalyst. When Jan was working at chemical labs, he experienced the struggle of spending weeks guessing reaction conditions. We then started experimenting with ML to speed up the process. Now, as a team of three friends from the University of Cambridge, we’ve spent the last month combining our domain expertise in Computer Science, Machine Learning and Chemistry to develop state of the art models for reaction optimisation. Although ML is becoming well established in other fields, current chemical models generalise poorly and require lots of programming experience. We make our models easily accessible to chemists in the lab. Finding the right conditions quickly allows pharmaceutical companies to test more drugs, and finding better optima makes manufacturing process cheaper and more environmentally friendly.
Detailed Information
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