Inspiration
What it doeOur inspiration
180 Billion dollars is lost yearly in inefficient drug discovery processes 10 years ago, AI was touted as the way to solve this and make R&D efficient 10 years and 80 Billion dollars investmed later, no AI-discovered drug has actually made it to commercialisation.
We propose an auditable discovery approach on text to protein, enhancing your chances of making valuable discoveries and helping you understand how to curate your data.
What it does
We created a product for R&D scientists in the protein discovery space. They can input a text prompt in our user-friendly interface and get protein candidates. The interface is designed so that they can explore and audit the data as well as input useful insights.
Our MOAT is that our Tech is able to tell you how you could iterate over your data to improve candidate generation.
How we built it
will explain orally
Challenges we ran into
A lot, shall detail orally!
Accomplishments that we're proud of
What we learned
What's next for discoveritas
s
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for discoveritas
Built With
- mistral
- next.js
- python
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