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Ask CFM what changed after a deviation, whether a batch stayed within approved limits, or which condition performed best. Built for biomanufacturing, the our model brings experiment plans, SOPs, batch records, deviations, and past decisions into one answer. It links each answer back to the source records, so scientists can decide what to do next without rebuilding the process history by hand—and help bring therapies to patients sooner.
I’m Sebastián, a computer scientist and bioengineer working on AI research and targeted cell therapies. I recently found myself immersed in stem cell manufacturing through graduate school for the first time (ever!). It was hard, to say the least.
Simply put, in software I'm use to every change being tracked and commented. In the wet lab, a batch’s story is scattered across old instruments, handwritten diagrams, dense notes, and my lab mates intuition. Whenever you find yourself in the manufacturing line of a biotech company, big or small, you'll encounter things like CAPA or root cause investigations. These can take 30 to 70 days to determine why a product didn't meet the desired specs and often blame the person or operator on the line. Production stops, batches are lost, and when working with autologous therapies, that batch may be a patient’s own cells.
So I, as a WALL-E fan myself, what if the instruments creating this data could help us understand it? What if we could trace failures, characterize products without using them up, and plan the next experiment without starting from zero?
That question became Capicú. The vision began with AI inside lab instruments. It evolved into a practical first step: CFM, a model that reads process history and points back to the evidence.
Try CFM with a real bioprocess question! Tell us where it helps and where it breaks. Your feedback, support, and shares genuinely mean a lot. <3
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About Capicú Foundation Model on Product Hunt
“Biomanufacturing AI with answers you can verify”
Capicú Foundation Model was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #157 on the daily leaderboard. Ask CFM what changed after a deviation, whether a batch stayed within approved limits, or which condition performed best. Built for biomanufacturing, the our model brings experiment plans, SOPs, batch records, deviations, and past decisions into one answer. It links each answer back to the source records, so scientists can decide what to do next without rebuilding the process history by hand—and help bring therapies to patients sooner.
Capicú Foundation Model was featured in API (98.6k followers), SaaS (44.1k followers) and Artificial Intelligence (478.1k followers) on Product Hunt. Together, these topics include over 186.9k products, making this a competitive space to launch in.
Who hunted Capicú Foundation Model?
Capicú Foundation Model was hunted by Sebastián Cruz Romero. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Sebastián Cruz Romero