What is Soleadify?

Soleadify offers comprehensive and dependable data focused on Small and Medium-sized Businesses (SMBs) across the globe. It aims to provide a reliable source of truth for automating various B2B processes in a constantly changing business environment. The platform aggregates data from over 10 million sources weekly, ensuring freshness and minimizing latency. This allows businesses to access full profiles of SMBs, including unique datasets that competitors might not possess, covering aspects like company names (legal, trade, aliases), locations (main and secondary), detailed classifications based on actual activities, company type, activities/services extracted using AI, rich descriptions, products, technologies used, digital presence scores, founding information, company size metrics, key employee details, and contact information.

The service emphasizes accuracy and granularity by classifying companies based on their self-described activities rather than relying solely on potentially outdated government classifications. Soleadify facilitates data integration through flexible API options and reliable data matching capabilities to enhance existing datasets, reduce duplication, and improve overall data accuracy. Users can customize data structures and prioritize data points based on volume, accuracy, or recency to fit specific use cases, such as automating SMB verification and onboarding, streamlining fraud prevention by assessing business identity and financial health, and accelerating lead generation through enhanced competitive intelligence.

Features

Extensive SMB Database: Access profiles of over 70 million companies across 100+ locations.
Weekly Data Updates: Information refreshed weekly from over 10 million data sources.
Granular Classification: AI-driven classification based on actual company activities and descriptions.
Comprehensive Data Points: Includes company names, locations, classification, type, activities, descriptions, products, tech stack, digital presence, size, key employees, and contacts.
Data Enhancement: Enrich existing datasets with new profiles and information.
Flexible API Integration: Access data programmatically to update workflows.
Reliable Data Matching: Reduce duplication and improve accuracy through data comparison and cleansing.
Customizable Data Structure: Add specific data points on top of default ones for Big Data/ML processing.
Accuracy & Recency Scoring: Prioritize data points based on volume, accuracy, or recency needs.