About
Dataforest developed an AI-powered web application for an investment firm focused on sustainable tech ventures. The platform streamlines workflows by collecting and integrating data on European start-ups into a dynamic database. Using AI-driven scoring and predefined criteria, it ranks companies, helping investors easily identify and evaluate top opportunities.
Challenge, approach, and impact
Streamlining Investment with AI-Powered Scoring
Dataforest developed an AI-powered web application for an investment firm focused on sustainable tech ventures. The platform streamlines workflows by collecting and integrating data on European start-ups into a dynamic database. Using AI-driven scoring and predefined criteria, it ranks companies, helping investors easily identify and evaluate top opportunities.
Automation of Business Processes
Dataforest developed an internal platform with AI capabilities that automated key business processes, optimizing data collection, consolidation, and opportunity evaluation while significantly reducing manual effort and operational overhead. The platform supports a continuous update process, ensuring data is consistently powered by the most up-to-date information.
Data Unification and Integration
Dataforest developed a modern database that unified data from various sources, including DealRoom, Crunchbase, and email newsletters. Advanced tools like PaddleOCR were used for image recognition, while ChatGPT enriched data through LinkedIn parsing. LLaMA automated the merging of information for identical companies, and the solution seamlessly integrated with Affinity CRM, creating a centralized and efficient data repository.
Implementation of AI-Powered Scoring Algorithms
Advanced AI-powered scoring algorithms were implemented to automate rankings across hundreds of parameters. These algorithms analyzed and scored data, delivering actionable insights that streamlined evaluations and enabled users to prioritize high-value opportunities, saving time and improving decision accuracy.
User-Friendly Interface Design
Dataforest designed a user-friendly interface featuring detailed company profiles, advanced filtering options, data visualization through charts, and notification-based updates. This streamlined approach simplifies data access and enhances decision-making.
How we built
Testimonials
Anonymous
Dataforest
“Developed an AI-powered investment scoring platform that consolidates data from over 1 million European start-ups and evaluates them across 2,200+ parameters. The solution automated data aggregation, enrichment, and ranking, seamlessly integrating with the client’s CRM. As a result, the investment team significantly reduced manual analysis, improved decision consistency, and accelerated identification of high-potential, sustainability-focused opportunities.“
Team structure
Client team
N/A N/A
Investment Manager
Project stakeholder
The client stakeholders were working closely with the team at Dataforest
Agency team
2 x Data Engineer
Production
1 x Business Analytics
Production
2 x Product Manager
Production
2 x Machine Learning Engineer
Production
