Company lists · Data refreshed September 2026
Top 25 Recommendation engine companies worldwide
RevenueBase identified 209 recommendation engine companies worldwide as of September 2026 and tracks 1,488 professional contacts across them, including 303 with verified work emails. The United States is the largest market and London the largest hub.
This list covers recommendation engine companies worldwide, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 21, 2026. Country and city lists for recommendation engine companies follow the table.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 25 largest recommendation engine companies worldwide
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 87 contacts → | ||||
Indirect evidence “If you’re looking for a personalisation solution to increase sales, boost customer engagement and provide better insights into your customers than other solutions then look no…” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 2 | 63 contacts → | ||||
Indirect evidence “Syte is the only AI-powered product discovery, site search and personalization platform built from the ground up for eCommerce, trusted by leading brands like Tendam Group, Ellos…” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 3 | 58 contacts → | ||||
Indirect evidence “Advanced Personalization for ecommerce.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 4 | 50 contacts → | ||||
Indirect evidence “Qloo's Taste AI decodes consumer preferences.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 5 | 45 contacts → | ||||
Indirect evidence “Trusted by global leaders like The Telegraph, DAZN and Tripadvisor, along with other world-class media, streaming and digital innovators, Recombee powers personalization through…” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 6 | 45 contacts → | ||||
Indirect evidence “Katch combines human & artificial intelligence to understand, quantify, and predict individual taste across preference-driven products.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 7 | 39 contacts → | ||||
Partial evidence “Taboola is the world leader in powering recommendations for the open web, used by digital properties like websites, devices and apps, while helping people discover things they may…” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 8 | 25 contacts → | ||||
Indirect evidence “Rumo is a recommender system for creative industries of any size.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 9 | 18 contacts → | ||||
Indirect evidence “AddSearch is the unified AI Search and Conversational Content Discovery platform for content-rich websites.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 10 | 18 contacts → | ||||
Indirect evidence “Albatross is a Swiss company pioneering perception models, a new class of AI that learns from live user behavior and infers intent in real time.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 11 | 16 contacts → | ||||
Indirect evidence “Many of the world's top online retailers are already utilizing our innovative machine-learning technology to increase their site's revenue through personalized product spotlights.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 12 | 14 contacts → | ||||
Indirect evidence “Mirakl Target2Sell is a solution that enables leading eCommerce brands to personalize their shopping experience and increase their online conversion rate.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 13 | 14 contacts → | ||||
Indirect evidence “Findify is the unified e-commerce discovery platform.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 14 | 13 contacts → | ||||
Partial evidence “We create, deploy and manage large-scale, reliable and personalised ML Systems, especially in the space of Recommendation Systems and Fraud Detection.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 15 | 12 contacts → | ||||
Partial evidence “Bookarang is a Dutch tech company specialized in content-based book recommendations.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 16 | 11 contacts → | ||||
Indirect evidence “RISK + COST FREE PILOT.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 17 | 11 contacts → | ||||
Indirect evidence “At MOOST, we’re turning energy data into actionable, personalized insights that make sustainability simple, intuitive, and rewarding for everyone.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 18 | 11 contacts → | ||||
Strong evidence “Wiser is a Personalized Product Recommendations engine for Shopify stores.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 19 | 9 contacts → | ||||
Partial evidence “Potions becomes AB Tasty Recommendations & Merchandising!” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 20 | 9 contacts → | ||||
Indirect evidence “Better Impression helps tens of millions of unique B2B and B2C users from around the world make better-informed decisions online.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 21 | 9 contacts → | ||||
Indirect evidence “Froomle is composed of experts in recommender systems for the digital publishing industry, allowing us to offer an extensive catalog of specialized modules that are tailored to…” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 22 | 8 contacts → | ||||
Partial evidence “SPARQUE.AI is a personalization engine that uses artificial intelligence to optimize product discovery in digital commerce.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 23 | 8 contacts → | ||||
Indirect evidence “Crossing Minds is revolutionizing e-commerce through real-time 1:1 personalization.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 24 | 7 contacts → | ||||
Strong evidence “Keystone is a game-changing sales recommendation engine for sales teams, converting data into actionable insights for effective and immediate decision support.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
| 25 | 6 contacts → | ||||
Indirect evidence “At Neuralcraft, we're reimagining the e-commerce landscape through the lens of hyper-personalization.” Source: RevenueBase Database · checked Sep 21, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: recommendation engine companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names recommendation engine companies.
- Partial evidence
- Its own public description names part of recommendation engine companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name recommendation engine companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 25 of 209 recommendation engine companies worldwide
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Recommendation engine companies worldwide at a glance
As of Sep 21, 2026Companies by employee count
Email recency is reported on each country list linked below.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among recommendation engine companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- Coverage
- Every country. Country and city lists for recommendation engine companies are linked below.
- What qualifies
- Companies worldwide whose own description of what they do matches “recommendation engine companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names recommendation engine companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among recommendation engine companies, and records with no verified work email.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 303 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 21, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Recommendation engine companies by location
1 lists · largest firstEvery Recommendation engine companies list RevenueBase publishes, by country and city. Counts are matching companies in each list as of its own refresh date.
Countries
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names recommendation engine companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many recommendation engine companies are there worldwide?
RevenueBase identified 209 recommendation engine companies worldwide as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Segmentify, headquartered in Worldwide, tops this list with the largest team on record.
Which country has the most recommendation engine companies?
The United States leads with 38 companies. Every recommendation engine companies list by country and city is linked on this page.
Which city has the most recommendation engine companies?
London leads with 8 headquartered companies, followed by San Francisco (8) and Paris (7).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 303 verified decision-maker contacts tracked across these 209 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 21, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.