customer-intelligence
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GraphDive Tried to Make the Web Less Stupid. Then Facebook Was the Ground Beneath It.
GraphDive could infer your income, interests and relationship status from the trail you left on Facebook. The clever part was the graph. The useful part was learning that enterprise customers will still punish an unfinished feature and undervalue free work.
Symphony EYC wanted your shopping basket to run the supermarket
EYC turned loyalty data into decisions about what to stock, promote and put on the shelf. Its journey into SymphonyAI shows why knowing the shopper was only half the job.
The AI That Watches the Moment - Not the Person
Intent HQ sells large companies a sharper sense of when customers are ready to act. Its wager is that relevance can improve without turning privacy into collateral damage.
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.
Gong Put the Sales Call on Trial - Then Built a $500 Million AI Business from the Evidence
The original product listened to calls that managers could never attend. A decade later, Gong wants its agents to plan, coach, forecast, and act - but the winning lesson is still wonderfully small: capture reality before asking people to summarize it.
The 30% Problem: D.LUXURY Is Rewriting the DTC Growth Playbook Around Profit
The Los Angeles firm starts with a blunt premise: a minority of customers often creates nearly all the profit. Its answer combines an investment-grade audit, live customer intelligence and an outsourced growth team built to act on the findings.
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.
Treasure AI
Treasure Data spent 15 years teaching enterprises to recognize a customer across a maze of systems. Now, under a new name, it wants governed AI agents to turn that memory into action - without asking marketers to babysit another dashboard.
SmartKarrot
The Dallas software company wants customer success teams to stop firefighting churn - and start engineering growth from the accounts they already have.
unitQ
The dating-app founders who got tired of guessing which bug to fix built a machine that reads every customer complaint on the internet - and tells you which one is costing you money.
Thematic
One trusted view of your customer, built from the bottom up across every channel - from raw feedback to confident action.
Unwrap
The AI-powered customer intelligence platform that proactively uncovers what matters most - so product teams stop guessing what their users actually want.
UserVoice
For nearly two decades, UserVoice has been the quiet infrastructure behind how big software companies decide what to build next - turning a flood of customer opinions into a ranked list of what actually moves revenue.
Idiomatic
Idiomatic built a machine that reads every complaint so support teams don't have to - one custom-tuned category at a time.
Feedier
Feedier reads every signal across regions, business units and channels, then tells your leadership what to fix, what it's worth, and what it means for retention and revenue, in real-time.
Common Room
The AI GTM Platform: Complete buyer intelligence. Real pipeline impact.
Poth Labs
Poth Labs is a San Francisco startup building an AI-native customer research platform. Poth connects to a company's scattered customer data - analytics, call transcripts, support tickets, surveys, CRM notes - and unifies it into a searchable model of the customer. It then generates hypotheses about why users behave the way they do, and validates them using existing data plus adaptive interviews that adjust to each response. The goal is to move product, growth, and leadership teams past knowing what users did toward understanding why. Founded in 2026 by ex-Palantir engineer Matthew Wong and ex-Tietoevry engineer Mojmir Horvath, Poth Labs is part of Y Combinator's Summer 2026 batch.
Dovetail
Dovetail is a Sydney-founded customer intelligence platform that pulls scattered customer signals - sales calls, support tickets, surveys, app reviews, usability tests - into one searchable place and uses AI to turn them into themes, dashboards and decisions. Started in 2017 by two ex-Atlassian employees, Benjamin Humphrey and Bradley Ayers, it began life as a repository for user researchers and grew into an organisation-wide intelligence layer used by roughly 40% of the Fortune 500, including AWS, Visa, Atlassian, Canva and Johns Hopkins. Accel led a US$63M Series A in January 2022 at a valuation north of US$700 million.
Total Expert
Total Expert is a Minnesota-based fintech company that builds a purpose-built customer engagement platform for banks, credit unions, mortgage lenders, insurance and wealth firms. Founded by Joe Welu in 2012, its CRM, marketing automation and AI-driven customer intelligence tools help financial institutions unify borrower data, spot lending opportunities in real time, and guide customers across financial milestones. It serves more than 200 financial institutions, including 15 of the top 25 U.S. banks and lenders.
Enterpret
Enterpret is an AI customer intelligence platform that unifies scattered customer feedback - from support tickets and app reviews to sales calls and social posts - into a single, queryable source of truth. Using adaptive NLP models and a proprietary Customer Knowledge Graph, it categorizes feedback with a custom taxonomy, ties it to revenue and accounts, and surfaces the themes product teams need to decide what to build next. Founded by brothers Varun and Arnav Sharma in 2020, it counts Canva, Notion, Monday.com, Perplexity, Linear and Strava among its customers.