In 2025, FoundersEdge partnered with Gravitate AI , to work on a complementary study to our Founder Index to analyze which founder background traits meaningfully correlate with company success. Using LinkedIn profile data from 783 recent CEO founders, we analyzed 9 founder traits to assess their correlation with momentum and outcomes. We grouped founders into three outcome-based cohorts: low momentum, high momentum, and exited founders. While imperfect, these cohorts allowed

B2B startup founders and enterprise leaders should read to learn how to build a defensive Moat and avoid ChatGPT pitfalls.

Data scientists, AI/ML developers interested in working on NLP performance tracking models.

Challenge The privately-held company’s software helps F50 companies processing massive package volumes avoid costly delays and backups by monitoring thousands of package scanning stations. In addition to IoT data, each site ingests millions of camera images daily. To add value by eliminating their customers’ laborious manual tasks, our client sought to use AI to analyze the images and classify and identify objects in the pictures. Unable to use open-source models and train a

Challenge Manual claims assessment is a big expense for insurance firms. A VC-funded software company set out to devise software that scored claims based on likelihood of fraud to focus manual review appropriately using multiple data sources including location data. ​ Solution Gravitate complemented the client’s internal data science and technology team by: Bringing in additional data sources including via a web scraping capability. Advising on model building and algorithm d

Challenge The VC-funded startup provides credit, savings, and other digital banking products to consumers who lack traditional banking accounts. Their software team built the mobile application, but subcontracted the credit scoring algorithm that relied on alternative data points to evaluate a consumer’s credit worthiness to Gravitate. ​ Solution Gravitate: Conducted a technical gap analysis and designed the data pipeline, database solution, NLP algorithms to process text,

PwC estimates AI will add $15.7 trillion to the global economy by 2030. Seeing the writing on the wall, over 90% of the Fortune 1000 are increasing their big data and AI spending. If you are a country, company, or individual hoping to stay technologically relevant through the coming decade, understanding AI is imperative. The good news is that you don’t need to build neural networks from the ground up to take part. Being able to differentiate core concepts and understanding

Challenge A VC firm with more than 60 portfolio companies wanted to provide data analytics consultation for its portfolio companies. They also needed a third-party assessment of the strength of prospective investments’ AI development and roadmaps. ​ Solution Gravitate conducted a gap analysis, including recommended improvements on candidate investments including: How to improve the AI algorithms Changes to the backend architecture to better support the AI models Additional da