Bidease is a programmatic demand-side platform powered by advanced AI technology. We specialize in helping app marketers achieve…
5.0
1 reviews
Category
Sales Intelligence Software
For companies whose sales teams need accurate data on who to contact, when to reach out, and what to say — sales intelligence software and data providers.
Data conversion laboratory, llc (dcl) (www.dataconversionlaboratory.com) helps organizations transform content to smarter…
5.0
Steppingblocks is a big data analytics company that provides workforce and education insights using advanced machine learning and…
5.0
Sybill builds a living memory of how your team wins deals, then helps every rep, agent, and workflow execute everything from…
4.9
15 reviews
Dataiku is the platform for AI success, the enterprise orchestration layer for building, deploying, and governing AI. In a single…
4.8
Ombud enables companies to curate knowledge, collaborate, and automate the management and production of documents. Common use…
4.7
24 reviews
Edcast, now part of cornerstone ondemand, offers a unified platform designed to operate end-to-end employee experience journeys…
4.6
24 reviews
Edcast, now part of cornerstone ondemand, offers a unified platform designed to operate end-to-end employee experience journeys…
4.6
24 reviews
Crosschq is the world's first operating system purpose-built for hiring intelligence. The company provides talent-driven…
4.6
124 reviews
We empower dealmakers around the world with the tools they need to succeed across the entire m&a journey.
4.5
Seamless is a real-time B2B search engine for contact data that provides verified emails, cell phone numbers and sales insights…
4.2
903 reviews
Above data is an applied AI platform for data-driven marketing. Our platform brings structure & clarity to the messy worlds of…
Unrated
Adeptid uses AI to get millions of people into better jobs, faster. We do this in two ways: 1. We license best-in-class talent…
Unrated
Our passion to reshape the way people prospect through innovative uses of technology and data inspired us to launch aidentified…
Unrated
Datarobot delivers the only agent workforce platform built for outcomes - not endless pilots.
Unrated
Eos data analytics (eosda) is a global provider of AI-powered satellite imagery analytics founded by dr. Max polyakov, an…
Unrated
Explorium is the leading B2B data layer for building high performance GTM agents. Our seamless API and mcp integrations power…
Unrated
In this new era of the autonomous enterprise, globality empowers leading global companies to achieve substantial savings and…
Unrated
I360 sits on the bleeding edge of technology, delivering innovative products and services through the strategic use of data…
Unrated
At jigyasa analytics, we help organizations make better business decisions by harnessing the power of data science, machine…
Unrated
Lotadata is short for a lot of data. We curate geospatial ground truth data sets by combining public and private data sources on…
Unrated
Founded in 2002, maxmind is an industry leader in ip intelligence, proxy detection, and online fraud prevention tools. We help…
Unrated
These businesses supply the data and signals a sales team needs to work a list that's actually worth working: verified contact details, org charts, company firmographics, technology stacks, funding events, hiring trends, and — increasingly — signs that a specific account is in-market right now. Hire one and what changes is simple: reps stop cold-guessing who to call and start prioritising accounts with a reason to buy, with a phone number and email that still work.
The trigger is usually a CRM full of dead contacts and a pipeline that doesn't match the target market. Reps are burning hours on LinkedIn trying to find the right person at an account, marketing is sending emails that bounce, and nobody can say with confidence which companies are actually shopping. Lists bought years ago have decayed — people change jobs constantly — and the sales team's instinct for who's a good fit isn't backed by any data on firmographics or buying signals.
Providers tackle this from different angles. Some are primarily data businesses: they build and maintain databases of contacts and companies, sourced from public filings, web crawling, partner networks or user-contributed data, then sell access via credits or seats. Others focus on intent — tracking web and content consumption to flag accounts researching a problem you solve, often layered on top of a data feed rather than replacing it. A separate group specialises in the harder, narrower job of registries and licensing data for regulated roles like brokers, where accuracy has legal consequences.
When comparing them, look past the feature list to the sourcing and refresh rate: how the contact and firmographic data is collected, how often it's verified, and what happens when it's wrong. Compare coverage by region and industry — a database strong in US tech accounts may be thin on European manufacturing. Check integration depth with your CRM and outbound tools, since data that sits in a separate dashboard rarely gets used. And weigh pricing models carefully: per-seat licensing suits steady daily use, while credit-based pricing can get expensive fast if your team pulls data in bulk.