Automated Due Diligence and Survivability Assessment for Startups

Completed

ARTIFICIAL INTELLIGENCE

INVESTMENT MANAGEMENT

About Project
Before investors or VCs put money in a startup, they usually conduct due diligence on the startup to be able to assess whether to invest in that startup or not. The process involves a thorough examination of various aspects of the startup like the team, technical capabilities, the market, the finances. This process is time consuming and is prone to human errors. The goal of this project was to automate that process while also assessing the survivability probability of those early stage-startups.
our role

  • artificial intelligence

client background
An investment management platform and a community for founders and investors. VeFund was looking to help investors and startups assess investment decision-making process through AI-driven insights. They wanted to predict the survivability and investment attractiveness of startups based on various performance metrics.
challenges
Predicting startup survivability using AI.
Investors need reliable methods to predict whether a startup will survive and thrive. The challenge was to develop an AI model that could analyze diverse data sources to provide accurate predictions.
  1. Analyzing complex data from startup founders, financials, products, and social media.
  2. Providing accurate predictions to support investment decisions.
  3. Reducing the time and effort required for manual due diligence.
solution
A Fully Automated AI-Driven Startup Survivability Prediction System
Odlica developed an AI system that integrates various aspects of startup performance, including industry, product, social media, and financial information, to predict startup survivability and investment attractiveness. The system can predict startup survivability with over 90% accuracy by considering all data points, and with over 70% accuracy using only information about the founders and their products. This automation allows investors to make data-driven decisions and significantly accelerate their investment process.
  • Comprehensive Analysis: Integrates data from founders, financials, products, and social media.
  • High Accuracy: Predicts startup survivability with over 90% accuracy.
  • Efficiency: Reduces manual due diligence time from weeks to few minutes.
  • Data-Driven Decisions: Enables investors to make informed decisions quickly.
outcome
The AI system allowed investors to streamline their due diligence process, leading to faster and more accurate investment decisions.

  • Accelerated investment process by automating due diligence.

  • Improved prediction accuracy for startup survivability.

  • Significant time and cost savings by reducing reliance on industry experts for manual due diligence.

  • Enhanced ability to make data-driven investment decisions.

Let's See Our Client's Testimonials

We have worked with Odlica's team to build our startup survivability engine. They were able to execute exactly what we wanted, achieved great results, and even went beyond that to provide insights that we didn't think we could extract.

Ahmed Magdy

VeFund, CEO