ValleyDAO is a start-up building tools and communities that help academic researchers in climate biotech to get their research funded, and commercialised into impactful technologies and start-ups. To date, we’ve enabled the funding of several innovative research projects and helped commercialise many more at universities such as Imperial College London and Denmark Technical University. The type of projects we support focus on everything from producing cocoa butter without plants through fermentation, to producing biomaterials that can replace ‘forever-chemicals’ and microplastics.
Our community is at the heart of our organisation being actively involved across different work groups at ValleyDAO. We leverage web3 and tokenization to reward community members for supporting the research projects in our ecosystem.
To scale our impact, we’re building an online platform to help guide researchers through the process of commercialising their research into a commercial business. To do this, we’ve identified 3 key pillars that we intend to serve: Fundraising, Business Development and Technology Development. By providing a suite of tools for researchers and aspiring entrepreneurs, we hope to decrease the cognitive load and risk associated with research translation; making it more accessible and attractive, ultimately accelerating the deployment of transformative technologies for the climate.
As a full-stack AI web-app developer, you’ll be instrumental in supporting the development of a minimum sellable product (MSP) that will drive first sales and demonstrate the value of what we’ve been researching and developing for the last year.
Business Development
We want to build AI-enabled wrappers to help researchers develop their business model, understand competitors, IP strategy, market entry, and collaboration and partnership identification. These insights will ultimately be used to guide decision making and help researchers with little commercial experience understand what is required to take their research to market.
Technology Development
Features in this area will be very similar to business development and can hopefully use the same building blocks. The key difference is the specificity of the AI pipelines with technology development more focused on identifying technological risks and challenges, evaluating the state of the art in scientific literature and helping users to plan and budget R&D initiatives. We hope to make use of paper-qa2 and some other scientific APIs to retrieve, index and query scientific articles.
Fundraising
We’ve already built v1 of a fundraising database which enables users to: