During this project we have been working with Aingel Corp. that uses AI to help early-stage startups fundraise faster. Aingel’s matching algorithm generates a VC Score and a list of top matching investors who would most likely invest in a startup’s stage and space.
Aingel Corp. contracted Exposit to work on the Backend and Frontend development for Aingel’s VC Match and Deal Flow Analyzer. We have created supporting backend part and implemented UI for Aingel’s product, where the core AI, matching algorithms and UI were designed by Aingel itself.
P.S. The data was provided by Aingel under its agreement with Crunchbase.
We developed sign-up landing pages for Aingel’s platform. Users registered providing detailed information about their startups, founders, and funding rounds.
The visualization module of Aingel’s VC list comes with customized analog sites, that include sign-up forms and people profiles (e.g., personal data, budgets, startup keywords, etc.). After processing data via filters all registered profiles go to the database, and then to Partners reports that are processed by the neural network.
All data (name, startup name, raise size, raise to date, Inception Score, VC report) can be found on the admin panel for partners, that was also developed by Exposit’s engineers. Here you can find any partner and view partner reports (VC list), compare partners, and access the master report.
Other useful features:
A corporate Web platform designed to improve the internal processes.
JIRA and Confluence extensions for the specific work processes in our company.
JIRA plugin for automatic tracking of the working time in certain tasks.
Corporate application for the rapid exchange of information between users.