The startup offers an e-business analysis platform that utilizes semantic and image analysis to enrich NACE codes and aggregate diverse data sources. This enables e-commerce businesses to identify potential prospects and enhance marketing strategies by automatically comparing companies with similar profiles and highlighting key performance metrics.
Funding
$280K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many businesses struggle to accurately identify potential prospects and understand the competitive landscape due to incomplete or inaccurate company data, particularly regarding NACE codes and real-world business activities. Traditional methods of gathering and analyzing this data are often manual, time-consuming, and lack the depth needed for effective B2B prospecting and strategic decision-making.
Solution
Inoopa provides an AI-powered B2B data platform that leverages semantic and image analysis to deliver enriched company profiles and competitive insights. The platform gathers data from over 200 sources, using natural language processing (NLP) to improve and correct NACE codes, identify real company activities, and generate ESG scores. By automatically comparing companies with similar profiles and highlighting key performance metrics, Inoopa enables businesses to segment their CRM, assess the future-proofness of companies, conduct macro-economic studies, and perform name matching and database cleaning. This allows for more targeted marketing strategies, improved lead generation, and a deeper understanding of market trends.
Target Audience
Inoopa primarily targets businesses in sales, marketing, and business development roles, including credit management companies, media outlets, banks, and postal companies, seeking to improve lead generation, market analysis, and competitive intelligence.
Features
- AI-driven semantic search engine for identifying companies based on keywords and tagging
- NACE code correction algorithms that predict and enrich company classifications
- ESG scoring, including CO2 emissions (scope 1-2-3), energy, water, and logistics dependency scores
- Automatic comparison of companies with similar profiles
- Key performance metric identification
- CRM segmentation tools
- Macro-economic studies based on grouped B2B data by industry
- Name matching and database cleaning functionalities
- Prompt-based lead generation tool for identifying companies in emerging sectors