Jebbit began by paying college students a quarter per answer. Three pivots later, its real product was not the quiz at all - it was the moment a customer chose to tell a brand the truth.
Publishers know their readers. Too often, somebody else gets paid for that knowledge. Permutive is building the software to change the transaction - and now wants AI agents to handle more of the work.
The mobile marketing company turns operator channels, fraud checks and well-timed messages into customer acquisitions. Its most revealing work happens where an ordinary advertising campaign would stop.
The British software company turns live browsing behavior into marketing decisions and fraud signals. Its bet: the most useful customer data is the data you can act on before somebody leaves.
Snowplow began with two consultants, one day of coding and a grudge against packaged analytics. Fourteen years later, its bet is that the next useful AI agent will need to know what a customer did five seconds ago - without surrendering the data to somebody else's dashboard.
The Manchester company stopped selling broadband and began selling what happens after people connect. Its software now turns an ordinary utility into consented customer data, indoor directions and a measurable line on the profit-and-loss statement.
Social.plus spent years learning that the valuable part of a network is not the logo on the app icon. It is the conversation underneath - and brands would rather own it.
The Denver-area company turned static content into buyer conversations, paired software with global campaign delivery, and says it reached profitability in 12 months. The useful lesson is less about the AI label than the machinery underneath it.
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.
The Orlando agency buys the ads, joins the messy data behind them, and asks a blunt question: did the money move the business? Its answer is part service firm, part homegrown software stack.
Invoca spent years teaching marketers what happened after a customer picked up the phone. Its next bet is more ambitious: use that same first-party conversation data to make sure someone - human or machine - answers at all.
Car dealers do not lack data; they lack a clean way to act on it. PureCars built a business by connecting the messy records in the dealership basement to the ads, messages and appointments happening upstairs.
Marketers can count impressions all day and still not know what changed. DISQO’s wager is that an opted-in audience, exposed-versus-control measurement and one cross-channel view can turn media reporting into evidence - if the panel is large enough and the campaign is measurable.
Future turned niche expertise into a publishing flywheel of ads, affiliates and acquisitions. With search traffic slipping, its next trick is learning how to reach 479 million people without waiting for Google to send them.
The San Mateo software company spent a decade turning sales content into measurable buyer journeys. Now it is making a sharper bet: the scarce thing is no longer the draft - it is getting the right experience live, governed and measurable before the buyer moves on.
The unglamorous captive portal became a wedge into customer data, automated access and AI-assisted network operations. Cloud4Wi's playbook is less about replacing routers than making the ones already in the ceiling earn their keep.
The San Francisco startup moved the webinar out of the anonymous meeting room and onto the customer’s own domain. The payoff is a richer trail of intent - if a marketing team runs enough events to justify the price and operational change.
It began with a founder's own unexplained skin problem. It turned into an AI advisor now embedded in roughly 120 beauty brands and retailers - and, lately, inside ChatGPT.
Del Smith and Tiffany Whitlow built a 200,000-member community first and an AI second - and got seven of the ten biggest drug makers to buy the trust they earned.
Affiliate marketing gets messy the moment a click becomes a customer. Everflow built a profitable, bootstrapped software company by following that journey farther - through repeat purchases, partner payouts and the placements that actually earn their keep.
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 ad-tech company built its first business by making ads fit the page. Now it is trying to coordinate creative, data, inventory and measurement before the impression ever reaches a screen.
The FTSE 100 group does not sell one product. It builds the places - physical, academic and digital - where specialists find one another, learn what changed and decide what to buy next.
StackAdapt spent a decade turning the demand-side platform into something closer to a marketing control room. Its bet is that the next advantage in advertising will come from connecting the channels marketers already use - and making the machinery easier to operate.
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.
Polar Analytics is a multichannel AI analytics platform for ecommerce and direct-to-consumer brands, built to unify scattered marketing, sales and CRM data into one dashboard on top of a warehouse-native data stack. Founded in 2021 by David Dokes and Charbel Seif, it centralizes 45+ data sources, tracks metrics like CAC, ROAS, MER and LTV, and layers AI agents and a Model Context Protocol connector so merchants can query live data and act on it. Polar serves 4,000+ brands across 45 countries and has raised roughly $28.5M, including an $18M Series A led by Chalfen Ventures in November 2024.
Potloc is a Montreal-based market research technology company that runs an AI-powered, all-in-one survey platform built exclusively for management consulting and private equity firms. Founded in 2013 by HEC Paris graduates Rodolphe Barrere and Louis Delaoustre, the company pioneered social-media sampling to source hard-to-reach B2B and B2C respondents, and today handles the full research workflow - questionnaire design, sampling, live fieldwork monitoring, data-quality control, and AI-assisted analysis. Potloc has served 500+ global firms and collected hundreds of millions of survey responses across industries and geographies.
Proxima is a New York-based predictive data intelligence platform that helps consumer and DTC brands find high-value customers and scale paid media efficiently. It turns billions of anonymized ecommerce transactions from a proprietary network of tens of millions of shoppers into AI-powered audiences, conversion attribution, creative guidance, and industry benchmarks across Meta, TikTok, and Google. Founded in 2022 by Alex Song, the company raised a $12M Series A in April 2024 led by Mucker Capital.
Cinarra Systems is a location intelligence and measurement company that turns carrier-grade mobile network data into privacy-safe marketing insight. Founded in 2012 and now a wholly owned SoftBank subsidiary, Cinarra works with mobile network operators to power audience segmentation, store-visit attribution and cookieless targeting - processing billions of daily location signals inside the carrier's own data center so no personally identifiable information ever leaves. Its platforms (RealSight, VitalSight, RealPeople, VenueVitalics) link online ad exposure to real-world venue visits for advertisers and turn telco data into a new monetization channel for operators.
GrowthLoop is an agentic, composable customer data platform (CDP) that runs directly on a company's cloud data warehouse - Snowflake, BigQuery, Databricks or Redshift - so marketing teams can build audiences, orchestrate journeys, and measure results without copying data into a separate system. Formerly Flywheel Software, the company pitches a 'Compound Marketing Engine' that pairs a no-code, drag-and-drop audience builder with AI 'Growth Agents' that suggest segments, build journeys, and optimize campaigns. It serves large enterprises including Ford, Costco, Albertsons, NerdWallet and major sports organizations.