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Brief
InfoSum

InfoSum

Data Collaborationinfosum.com

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.

Last updated Jun 23, 2026 by ATDb automated enrichment · Connections updated Jul 12, 2026

Founded
2016
HQ
London, Hampshire, United Kingdom
Connections
40

At a glance

Employees
201-500
Funding
$65M
Revenue
$10M-$50M
Stock
N/A
15integrations7competitors

About

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

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.

Business model

SaaS

Target market

Enterprise

What they offer

  • 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

Tech & specs

Technology stack

Federated learningDifferential privacyPrivacy-enhancing technologies (PETs)Secure multi-party computation conceptsCloud-native infrastructureRESTful APIsHashed identifier matching (SHA-256, MD5)Statistical modeling and machine learning

Security & compliance

GDPRCCPASOC 2ISO 27001Privacy by Design

Deployment

CloudHybrid

API

Yes

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