Biotech Software and the Best Biotech Tools Compared

We list 30 biotech tools so far. None has enough reviews to rank yet, so compare them on the job you need done and the terms each vendor puts in writing.

30 products · Average rating 0.0/5 · 0 reviews

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Reticular

Biotech

Reticular helps pharma companies discover drugs with AI models like AlphaFold by making them steerable, just like you can prompt LLMs. Today, limited validation data means companies spend millions on failed experiments trying to steer these models through trial and error. We’re piloting our AI interpretability technology with early-stage biotechs and scaling rapidly. Just a week after our pivot, we identified the first interpretable features ever found in protein models, allowing precise control over biological functions. Nithin and John met competing in Biology Olympiads before spending 4 years as roommates at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.

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ReactWise

ReactWise

Biotech

Our Mission: We aim to accelerate and automate chemical process development by equipping wet-lab chemists with the power of data-driven optimization and robotic execution of experiments. The Problem: The discovery of novel pharmaceuticals is one of our most important weapons in fighting disease. However, the drug development pipeline is often held up for many months during the design of chemical processes to manufacture these drugs at scale, delaying FDA trials and lengthening the time until drug launch. Designing chemical processes involves the identification of suitable parameters such as catalyst/temperature/solvent. Currently process development is often done via tedious trial-and-error experimentation (slow) or exhaustive screening (expensive and wasteful). Our Approach: In our research, we have developed algorithms for chemical process optimization, which leverage transfer learning and Bayesian optimization. We validated the algorithms in the wet lab, showing an up to 95% reduction in required experiments and cost compared to exhaustive screening. We have made our approaches accessible to chemists through our user-friendly no-code software platform and to automated laboratory equipment with our API.

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1849 bio

1849 bio

Biotech

1849 bio designs microbes enabling cheap metal extraction allowing miners to unlock value from low quality copper and gold ores. Surprisingly, the mining industry is one of the largest scale users of biotech in the world with biomining processes accounting for ~1% of global copper production. Biomining is ultra-low cost, running around ~$1/ton of ore vs ~$7/ton for conventional processes. Unfortunately, while biomining is cheap, it can’t be applied to over 80% of copper ores, leaving vast resources without profitable extraction methods. An estimated ~$800B of copper sit today in waste materials and stockpiles with negative unit economics. While a great deal of effort has been spent on optimizing microbial metal extraction processes, very little effort has been spent on optimizing the microbes themselves. To change that, we’re creating new biotech tools and platforms applied directly to the types of biology most relevant to miners. This enables us to develop new microbes and tackle some of the most difficult problems in biomining, unlocking billions in value from unprofitable resources while being more environmentally friendly than conventional processes. We’re world class microbial engineers. We met while doing our PhDs in synthetic biology, where we spent our time applying and developing the most advanced bioengineering technologies to engineer living cells. 

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Notable Labs

Biotech

Notable Labs is building a personalized drug discovery platform to identify treatment options for relapsed and refractory cancer patients, starting with blood cancer, to address the long tail of cancer treatment. We look at a person’s actual cancer cells, test combinations of FDA approved drugs, and see which combinations kill the cancer cells and leave the healthy cells alive. We focus on combinations because cancer is often difficult to target with just one drug and starting with a single drug can lead to resistant clones or relapse. We're building a highly automated lab in Foster City running on our custom software and are currently testing relapsed/refractory cancer patients as well as samples from a variety of pharma/biotech partnerships. https://www.notablelabs.com/careers

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Biotech Software questions buyers ask

How much does biotech software cost?

Biotech software is usually sold per user per month or on a usage tier, and most vendors in this category publish only a starting price or ask you to book a demo. Get the full annual cost in writing: seats, overage fees, onboarding charges and the renewal increase cap. Those four lines are where quotes differ most.

How do I choose biotech software?

Start with the one job the tool has to do on day one, then cut the list to products that do it well according to their reviews. Check that it integrates with what you already run, ask for a trial on your own data, read the one and two star reviews for the failure you care about, and confirm the contract exit terms.

Are these biotech reviews verified?

Each product profile shows whether the vendor has claimed and confirmed its details. Ratings are averages of the reviews on that profile, and the review count tells you how much weight a score can carry. A 4.8 from five reviews is a weaker signal than a 4.2 from fifty.

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