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Brief
InfoSum

InfoSum

InfoSum enables organizations to collaborate on data and unlock joint insights without ever sharing or moving the underlying data, ensuring full privacy compliance and data sovereignty.

infosum.comLondon, Hampshire, United KingdomFounded 2016

Last updated May 18, 2026 by ATDb automated enrichment · Connections updated May 25, 2026

Industry
Data Collaboration / Privacy-Enhancing Technology
Business Model
SaaS
Target Market
Enterprise
Employee Count
201-500
Funding
$65M
Revenue Range
$10M-$50M
Stock Symbol
N/A
API Available
Yes
Market Position

A leading independent data clean room and privacy-safe data collaboration platform, positioned as a neutral infrastructure provider for enterprise data partnerships

Overview

InfoSum is a leading data collaboration platform built on a patented 'non-movement of data' architecture, enabling organizations to connect their first-party data with partners, publishers, and platforms without the data ever leaving their own infrastructure. Founded in 2016 by Brian Lesser and a team of data scientists, InfoSum uses federated learning and privacy-enhancing technologies (PETs) to allow brands, agencies, media owners, and data providers to perform joint analysis and audience matching across siloed datasets in a fully privacy-compliant manner. The platform is particularly significant in the post-cookie, privacy-first advertising landscape, where brands and media companies need to collaborate on data without violating consumer privacy regulations such as GDPR and CCPA. InfoSum's 'Bunker' technology creates a secure, decentralized environment where data never moves, meaning no raw data is ever exposed to third parties. This approach has attracted major clients across retail media, financial services, broadcasting, and advertising, including partnerships with companies like Sky, Publicis, and various major retailers. InfoSum occupies a strong position in the emerging clean room and data collaboration space, competing with solutions like LiveRamp Clean Room, Habu, and Snowflake's data clean room offerings. The company has raised significant venture funding and has expanded its operations globally, with a presence in the US, UK, and Europe. Its technology is increasingly seen as a foundational infrastructure layer for the future of privacy-safe data collaboration in advertising and beyond.

Products & Features

InfoSum Platform

Core data collaboration platform enabling privacy-safe data matching and analysis across organizational boundaries without data movement

Bunker Technology

Patented decentralized data environment where each organization's data remains in its own secure 'bunker,' enabling analysis without exposing raw data

Data Clean Room

Privacy-safe environment for brands, publishers, and agencies to perform joint audience analysis, overlap measurement, and campaign attribution

Audience Collaboration

Tools for brands and media owners to match and activate audiences across first-party datasets without sharing PII

Retail Media Network Enablement

Solutions enabling retailers to monetize their first-party data by offering privacy-safe collaboration to brand partners

Identity Resolution

Privacy-preserving identity matching across datasets using hashed identifiers and statistical techniques

Key Features
Non-movement of data architecture — raw data never leaves the owner's environmentFederated query execution across decentralized data bunkersPrivacy-enhancing technologies (PETs) including differential privacyGDPR and CCPA compliant by designReal-time audience overlap and insightsSupport for multiple identity frameworks and hashed identifiersNo requirement for a trusted third party to hold dataAPI-first architecture for integration with existing data stacksMulti-party collaboration across unlimited partnersAudit trails and data governance controls
Use Cases
Brand and retailer data collaboration for closed-loop measurementPublisher and advertiser audience matching for addressable advertisingRetail media network data monetizationCross-media campaign measurement and attributionFinancial services customer data collaborationBroadcaster and advertiser audience insightsAgency-led data partnerships on behalf of brand clientsCustomer acquisition and lookalike modeling across partner datasets
Customer Segments
Brands and AdvertisersMedia Owners and PublishersBroadcastersRetailers and Retail Media NetworksAdvertising Agencies and Holding CompaniesFinancial Services CompaniesData Providers

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