Computer & Network Security Case Studies and Success Stories with Diffbot

CASE STUDY Avast

Diffbot helped Avast build a Privacy Policy API to analyze privacy policies across the web. Avast needed a way to rate website trustworthiness but lacked scalable privacy policy data. Diffbot used it...s automated web extraction and Knowledge Graph to classify and extract privacy policies and enrich them with firmographic data. The solution shipped in 4 weeks. The Privacy Policy API achieved up to 94.9% precision and 100% recall for non-English sites.

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Marketing and Advertising Case Studies and Success Stories with Diffbot

CASE STUDY ProQuo AI

Diffbot Knowledge Graph helped ProQuo AI find data on over 200 million organizations. ProQuo AI used this data to build predictive models for lead qualification. The API was easy to set up and saved ...the team a lot of time. ProQuo AI no longer needed to crawl or clean data from many websites. The team could focus on predictive modeling for better sales leads. Stephanie, a data scientist, said Diffbot's coverage of companies was unmatched.

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Internet Case Studies and Success Stories with Diffbot

CASE STUDY Zippia

Diffbot's Knowledge Graph helped Zippia improve company data accuracy by 50%. Zippia needed better data for its career platform. Their old data sources had errors and gaps. Diffbot offered a large, a...ccurate database. The integration was fast and easy. Diffbot extended its API for Zippia's needs. Zippia now shows more accurate company information to users.

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Information Technology and Services Case Studies and Success Stories with Diffbot

CASE STUDY Factmata

Factmata uses Diffbot to extract structured data from web articles. This data feeds into Factmata's natural language algorithm to classify content for harmfulness. Factmata helps online media analyst...s find risks, threats, and opportunities faster. Their tools support advertisers in avoiding ad placements next to fake or harmful content. Factmata reports growing interest from ad platforms in their solution.

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CASE STUDY Centrly

Diffbot’s Knowledge Graph helped Centrly speed up their product development. Centrly used Diffbot to get company data for their market intelligence platform. This let them avoid manual data collectio...n. They could focus on analytics and insights for their customers. The integration gave them a strong data foundation and saved months of work.

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CASE STUDY Contingent AI

Diffbot Knowledge Graph helped Contingent AI improve supply chain risk insights. Contingent AI needed to link companies and people to boost risk data and news coverage. Diffbot provided structured we...b data and unique identifiers for easy data enrichment. Contingent AI quickly improved data coverage and quality without changing their internal systems. The solution made it easy to expand risk assessment for their customers.

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CASE STUDY RelationalAI

Diffbot helped RelationalAI build a better product knowledge graph. RelationalAI used Diffbot’s Product extraction and Knowledge Graph to enrich sparse product data for a major online retailer. Diffb...ot’s AI pulled detailed specs from the web, making the data more complete and accurate. This let RelationalAI focus on modeling and reasoning, not data collection. Their system achieved 99.6% precision and 41.38% recall, and their research was published at KDD 2020.

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