identity-resolution
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Wunderkind and the shoppers hiding in plain sight
Kurt Geiger could copy the emails. It could not copy the audience. Inside the company betting that recognizing a shopper matters more than buying another click.
CustomersAI and the expensive art of recognizing a stranger
Larry Kim built a business around finding customers. Its most revealing turn came when he started asking whether the names it found belonged to the right people.
ActionIQ by Uniphore: Your data is ready. Your marketers are waiting.
ActionIQ turns customer data into audiences, journeys and timely messages. Its wager: the next marketing advantage belongs to companies that can use what they already know.
Listrak and the art of the second chance
A shopper leaves. A retailer remembers. Listrak has built a business around the delicate interval between those two events, connecting customer data with email, text and the next useful nudge.
Doceree wants pharma ads to follow the prescription
A physician-founded advertising company built its network where doctors read and work. Now Doceree is chasing the harder question: did the message help a prescription become a treatment?
Bluecore gives shoppers a reason to come back
A laptop is an awkward thing to sell twice. Bluecore turns that retail problem into a data problem, matching shoppers with products and moments that make another purchase worth considering.
Fullpath and the strange afterlife of a lost lead
A car buyer can vanish from a sales pipeline without vanishing from the market. Fullpath has built a business around remembering the difference.
The Customer Data Company That Gave the Warehouse the Keys
Soumyadeb Mitra could not get a customer-data system to behave at 8x8. His answer was to build the pipes around the warehouse companies already owned - and let the data stay there.
Redpoint Global’s 20-Year Bet: Fix the Customer Record Before You Ask AI to Use It
Most customer-data vendors promise a smarter message. Redpoint starts one floor lower - with the misspelled name, duplicate household and stale transaction that can quietly wreck the model above it.
BlueConic Spent 15 Years Teaching Brands Who Their Customers Are. Now It Wants the Machine to Make the Next Move
The Dutch-born customer data platform built its name unifying messy first-party data. With Jebbit, Blueshift and a new crop of AI agents, BlueConic is betting that the next valuable layer is not another dashboard - it is the decision made while the customer is still there.
Zeta Global Threw Away Two-Thirds of an Acquisition - and Kept the Piece That Built a $1.3 Billion Machine
The company began by buying customers for brands. Then it bought a software business, sold most of it, and discovered the platform it wanted to become. Now Zeta is asking CMOs to swap a messy stack for one data-and-AI operating system.
Babel Street Built an AI Analyst for People Who Can't Afford a Bad Guess
The Washington intelligence-software company spent years helping analysts search a noisy world. Now it is asking AI agents to do the legwork - while humans keep the last word.
Faraday Spent 14 Years Mapping 240 Million Americans. Now It Wants to Be the Memory Your AI Agents Are Missing
Most marketing AI can write a charming sentence but still has no idea who the customer is. Faraday sells the missing context - and a lead-routing experiment at American Standard shows what happens when the data is finally switched on.
The Company That Turned "Prove It" Into a Business
For 20 years, ActiveProspect has sold one unglamorous promise to marketers: keep the receipt. In a regulatory minefield where a single unwanted robocall can cost $500 to $1,500, that receipt is the whole business.
PebblePost Put the Pixel in the Mailbox - Now It Wants the Living Room
The New York ad-tech company made direct mail behave like digital retargeting. Its next act is applying the same transaction-powered engine to connected TV - with the household, not the cookie, at the center.
The 57-Year-Old Data Company Quietly Sitting Under Modern Marketing
Acxiom began with mailing lists and one computer in Arkansas. Today, its identity layer helps global brands decide when scattered signals belong to the same person - and how to act on that knowledge without losing control of the data.
Leadspace
Leadspace is a B2B data intelligence company that unifies buyers, accounts, and buying signals into a single continuously updated data layer for go-to-market teams. Its GTM Data Intelligence Cloud enriches, scores, and activates data across CRM and marketing systems like Salesforce, Marketo, and HubSpot, helping sales and marketing teams find, segment, and prioritize their ideal customers. Founded in 2007 and backed by Jerusalem Venture Partners, the company has raised roughly $111M and counts enterprises such as Salesforce, Zoom, and American Express among its customers.
Narrative I/O
Narrative I/O is a New York-based data infrastructure company that makes incompatible data work together. Its platform automatically normalizes disparate datasets, resolves identity, and lets companies securely buy, sell, enrich, and activate data - increasingly delivered natively inside a customer's own Snowflake environment so no data has to move. Founded in 2016 by Nick Jordan and led since 2023 by CEO Tim Mahlman, Narrative serves marketers, data scientists, and enterprises including Nielsen, TransUnion, Experian, and Fanatics.
Omnisient - Collaborative Consumer Intelligence
Omnisient is a privacy-preserving data collaboration company that lets banks, insurers, retailers and consumer brands analyze their first-party data together without ever sharing or exposing it. Using privacy enhancing technologies, US-patented Crypto-IDs and AI-powered data clean rooms, the platform matches mutual customers across datasets so lenders can score credit-invisible and thin-file consumers using alternative behavioral data - all while personal information never leaves the owner's environment. Founded in Cape Town and now expanding into the United States, the company protects hundreds of millions of consumer records for more than 100 enterprises.
Verato
Verato is a healthcare-focused identity data company that helps organizations answer a deceptively hard question: who is who? Founded in 2012 and based in McLean, Virginia, Verato pioneered Referential Matching - a technique that compares fragmented records against a proprietary reference database spanning the U.S. population with up to 30 years of historical demographic data. Its cloud platform, now sold as Verato MDM Cloud, links and cleans patient and member records across hospitals, health systems, payers, life sciences firms, and government agencies, reducing duplicate records, claims denials, and safety risks while enabling a single 360-degree view of each person.
Amperity
Amperity is a Seattle-based enterprise software company that builds an AI-powered customer data platform. Its patented machine-learning identity resolution engine, Stitch, unifies fragmented customer records from disparate sources - email, phone, address, loyalty and device IDs - into a single, accurate view of each customer. Founded in 2016 by Kabir Shahani and Derek Slager, Amperity helps global consumer brands like Alaska Airlines, DICK'S Sporting Goods, and Wyndham turn messy data into reliable profiles, predictive insights, and activation across marketing, analytics, and AI. The company reached unicorn status in 2021 with a $100M Series D and has since pivoted toward an AI-first, lakehouse-native architecture that runs directly inside Databricks and Snowflake.
Truthset
Truthset is an Oakland-based data intelligence company that validates the accuracy of consumer data used in marketing and advertising. Its patented TruthScore methodology assigns a 0-100% likelihood that any given data attribute about a person is actually true, letting brands, agencies, and data providers buy and activate audiences rated by accuracy instead of guessing. Truthset explicitly does not sell data or act as a broker - it positions itself as an independent arbiter of truth for a market where consumer data can carry up to 60% error.
People Data Labs
People Data Labs is a data-as-a-service company that sells clean, structured B2B data through developer-friendly APIs. Instead of selling dashboards or seats, it sells the raw material - billions of professional and company records that engineers, data scientists, and product teams use to build their own tools for recruiting, sales, marketing, identity verification, and AI. Founded in 2015 and headquartered in San Francisco, the company positions itself as the data layer underneath other companies' products rather than a competitor to them.
Primer
Primer turns a company's ideal customer profile or account list into high-match B2B audiences and pushes them across consumer ad channels like Meta, Google, LinkedIn and Reddit, then measures real pipeline impact with website de-anonymization and holdout testing. Founded in 2019 and based in San Francisco, Primer resolves identities and runs enrichment waterfalls to deliver 3-5x better match rates than CSV uploads, helping growth and ABM teams prove advertising ROI instead of guessing at it.
Aqfer
Aqfer is a white-label marketing data platform - 'The Marketing Data Engine' - that gives adtech and martech companies the heavy data infrastructure they need without building it themselves. Founded in 2018 by ad tech veterans Dan Jaye and Raymie Stata, Aqfer handles data collection, enterprise identity resolution, audience enablement, and AI data enablement at massive scale, processing trillions of rows of marketing data inside a client's own cloud. The pitch is blunt: cut back-end data costs by 40-50% and ship new data products in weeks instead of years.
LiveRamp
LiveRamp is a data collaboration platform that helps companies connect, control, and activate their first-party data across the marketing and advertising ecosystem without giving up control of it. Born from the simple idea of an 'on-ramp' that links offline customer records to online channels, LiveRamp now runs a privacy-centric identity graph (RampID) and a cloud-native data clean room used by brands, agencies, retail media networks, and publishers to match, measure, and monetize data securely.
PubMatic
PubMatic is an independent, publicly traded ad tech company that runs a sell-side platform connecting digital publishers with advertisers through real-time programmatic auctions. Built on its own cloud infrastructure rather than rented servers, PubMatic processes trillions of ad impressions and is pushing into connected TV, commerce media, and agentic AI tools that automate ad buying and selling.
Hightouch
Hightouch is a San Francisco-based B2B SaaS company that pioneered Reverse ETL and built the leading Composable Customer Data Platform (CDP). Founded in 2018 by Tejas Manohar, Josh Curl, and Kashish Gupta - all alumni of Segment - Hightouch lets companies activate their warehouse data directly into 250+ business tools like Salesforce, Braze, and Google Ads without copying data to a separate CDP. Since launching AI Decisioning in 2024, Hightouch has evolved into an agentic marketing platform, helping brands like Warner Music Group, Chime, PetSmart, and Spotify orchestrate personalized customer journeys using live warehouse data. The company reached $100M ARR and a $2.75B valuation in April 2026, backed by Goldman Sachs, Bain Capital Ventures, and Sapphire Ventures.