DataBank provides scalable and secure data center solutions for enterprises, offering colocation, cloud, and managed services…
Sub-Category
Contact Data Provider
For teams that need accurate, up-to-date contact and company data to find and reach the right people — compare providers on coverage, verification and delivery method.
532 businesses
Databar has been helping businesses for over 35 years. With our focus on your business , your image will be strengthened through…
Get clear, trusted answers in seconds with AI-powered analytics software. Connect 130+ data sources, build beautiful dashboards…
Databox is an AI-powered analytics platform for teams that need clear, trusted answers fast. It helps understand what’s…
Data Conversion Laboratory (DCL) delivers data and content transformation solutions that turn complex, unstructured information…
Cloudera is the only hybrid data and AI platform company that brings AI to data anywhere: In clouds, in data centers, and at the…
Branchez GA4 et la Search Console en lecture seule. Tableau de bord, requêtes, priorités IA et chat analytics clair. Gratuit pour…
Empower patients and power your clinical trials with Datacubed’s seamless, easy-to-use eCOA and ePRO solution.
Identify and solve your toughest interoperability challenges with DataFirst. See how the Silverback engine simplifies and…
Datafirst is a software development and engineering company headquartered in raleigh, North Carolina. Founded in 1990 by…
See why business data reliability is non-negotiable and achievable for your organization.
Datagence is solving the healthcare provider data crisis. Ghost networks. Inaccurate directories. Regulatory penalties. Health…
Powered by Vera—the complete privacy AI agent, and an unrivaled 2,500+ integrations—DataGrail solves complex privacy challenges…
The agentic data privacy platform. Datagrail replaces manual privacy programs with AI automation that scales. Vera, your complete…
Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable…
Data Intensity is an industry-leading Oracle managed services provider, expertly working to simplify, optimize, and transform our…
We continually build and maintain over 1,000 predictive models for our clients annually and have won numerous head-to-head…
Datalab USA is an analytics-driven award-winning database marketing services company that focuses on optimizing multichannel…
Datalane is a dutch, 's-hertogenbosch based management consulting company. At datalane, we specialize in process mining and…
Showing 216 of 532 — 316 more to see.
These businesses sell access to databases of business contacts and company records: names, job titles, verified emails, direct-dial and mobile numbers, org structure, and often technographic or intent signals layered on top. You use them by searching a platform, pulling data through a browser extension while you're on LinkedIn or a company website, or pushing enrichment straight into your CRM via API or native integration. What changes for a customer is that a target account stops being a company name and becomes a named, reachable person with a title and a working email, without a rep spending an afternoon guessing address formats or scraping LinkedIn by hand.
People end up looking for this when their pipeline has a data problem rather than a demand problem. Lists bought or built two years ago are full of people who've since changed jobs. Email bounce rates are climbing and starting to hurt sender reputation. Reps are manually verifying contacts before every outbound sequence, or worse, sending to guessed addresses. Marketing has a target account list from intent data or ABM tooling but no reliable way to identify or reach the actual buyers inside those accounts. CRM records are stale enough that reporting and territory planning are unreliable.
Providers differ mainly in how they source and verify data, and how they get it into your workflow. Some rely on large-scale web crawling and public-record aggregation, giving broad coverage but variable accuracy; others verify continuously through email pings, phone confirmation or human QA, which costs more but bounces less. Coverage also varies sharply by geography, industry and seniority — a database strong on US SaaS contacts may be thin on European manufacturing. Delivery matters too: a browser plugin for one-off prospecting is a different buying decision from an API-based waterfall enrichment feeding your CRM automatically. Worth comparing directly: refresh frequency, verification method, compliance with GDPR/CCPA on how data was originally sourced and consented, and whether pricing is credit-based (cheap at low volume, expensive at scale) or seat-based.