We use AI to help attorneys write patents.
Backed by Y Combinator, we’re starting with using AI to help attorneys write patents.
Our product is an in-browser document editor. It works just like Google Docs but, under the hood, is powered by an AI copilot to help the attorney write high-quality patents efficiently.
Three months since our launch, we’ve raised $3M from Silicon Valley’s leading investors and generated significant annual recurring revenue. Attorneys across the US, Europe, Asia, and South America are reporting 60-90% patent drafting efficiency improvements. One customer was so impressed with our product that they invested in our seed round.
What’s most exciting is that we’re only just getting started. We’re shipping new features, updates, and improvements every week. Just in the last month, the performance of our product has improved 10x. And this progress is accelerating.
Demand for Solve Intelligence has exceeded our expectations and outpaced our bandwidth to build the product. Our founding full-stack engineer will help accelerate our operation to build state-of-the-art generative AI products for intellectual property.
We’re on a high-growth trajectory, and we’re looking for people who want to join us on the journey to building a billion-dollar company.
We are looking for a super-talented founding full-stack engineer to work on developing and maintaining both the front- and back-end components of our product.
You’ll be responsible for:
Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com.
Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day.
Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he achieved 10+ publications and awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech.
We are a young company of highly motivated, ambitious, and hard-working individuals building a billion-dollar business. Our fundamental motivation is to build a state-of-the-art AI product to assist humans in generating intellectual property and to have mass market adoption of our software.
To thrive in this environment, you’ll have the following characteristics: You’re motivated to ship product fast - you prioritise speed, are always itching to move faster, and want to put things in the hands of customers to get critical feedback in days, not months. You’re passionate about mass adoption of AI - with ChatGPT having launched just 1 year ago, we’re at the beginning of an exponential curve, and we want to take the latest AI technology and build it into a useful product as quickly as possible. You’re a driven individual with a strong work ethic - our team is committed to going the extra mile, even if it means working long nights and weekends to achieve our goals. You strive for excellence in every aspect of your work - you take ownership of your outcomes and overdeliver on your goals. You’re humble, eager to learn whatever it takes to help your team and customers succeed, and an optimist who thrives in a positive environment.
As our founding full-stack engineer, you will have extensive experience building software to solve impressively difficult problems through past projects, designs, or GitHub contributions.
Nice to haves: