List of Diffbot Customers
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United States
Since 2010, our global team of researchers has been studying Diffbot customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Diffbot for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Diffbot for ML and Data Science Platforms include: Avast, a Czech Republic based Professional Services organisation with 1750 employees and revenues of $1.00 billion, RelationalAI, a United States based Professional Services organisation with 140 employees and revenues of $25.0 million, Contingent, a United Kingdom based Professional Services organisation with 33 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using Diffbot, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Diffbot customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Avast | Professional Services | 1750 | $1.0B | Czech Republic | Diffbot | Diffbot | ML and Data Science Platforms | 2021 | n/a |
In 2021, Avast implemented Diffbot to build a Privacy Policy analysis pipeline. Diffbot's extraction and Knowledge Graph technology was deployed as part of Avast's ML and Data Science Platforms tooling for automated privacy content classification and firmographic enrichment at web scale.
The implementation delivered a production endpoint in four weeks, providing an extraction pipeline that parsed privacy policies and serialized entities into a knowledge graph feed. Functional capabilities implemented included document extraction, entity resolution, automated classification, and firmographic attribute enrichment to support downstream scoring and analytics.
Diffbot was integrated directly into Avast's privacy scoring models, ingesting Knowledge Graph outputs to enable rapid classification and firmographic enrichment. The operational scope supported a global privacy effort headquartered in the Czech Republic, processing web scale privacy documents for classification and enrichment.
The deployment improved automated classification performance with reported precision ~93% and recall 100%, and the production endpoint was shipped in four weeks. The timeline and stated metrics reflect a rapid rollout and production operationalization of the Diffbot solution within Avast's privacy analytics stack.
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Contingent | Professional Services | 33 | $8M | United Kingdom | Diffbot | Diffbot | ML and Data Science Platforms | 2023 | n/a |
In 2023 Contingent implemented Diffbot to enrich its UK-focused supplier insight platform. Contingent used Diffbot Knowledge Graph within the ML and Data Science Platforms category to disambiguate organization and person entities and to expand news coverage for supplier and supply-chain risk monitoring. The Diffbot application served as a key data enrichment source linking internal supplier records with external news and public data sources.
Module usage centered on the Knowledge Graph and entity resolution capabilities, which were integrated into Contingent's data ingestion and enrichment pipelines to improve coverage and linkage across internal and external data sources. Operational scope was focused on supplier and supply-chain risk monitoring across Contingent's UK platform, and the implementation supported automated entity resolution workflows and news enrichment processes. Governance emphasis targeted data linkage and entity identity consolidation to support supplier insight use cases.
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RelationalAI | Professional Services | 140 | $25M | United States | Diffbot | Diffbot | ML and Data Science Platforms | 2020 | n/a |
In 2020 RelationalAI integrated Diffbot to augment sparse retail product data and enrich its product knowledge graph within its ML and Data Science Platforms stack. The integration used Diffbot’s Product extraction and Knowledge Graph capabilities to ingest structured product entities and attributes, enabling downstream use for search, recommendations and inference across RelationalAI applications in the United States.
Diffbot’s Product extraction outputs were mapped into RelationalAI’s knowledge graph architecture, feeding the product inference pipeline and consolidating product semantics for recommendation and search models. The deployment emphasized knowledge graph augmentation and inference orchestration, with work scoped to retail product data and instrumented to support research outputs, including an accepted paper at KDD 2020. The project materially accelerated RelationalAI’s product inference pipeline, and the implementation narrative centers on ingestion, entity resolution, graph enrichment, and operationalizing Diffbot data for search and recommendation workflows.
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Buyer Intent: Companies Evaluating Diffbot
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