InfoSum
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What is InfoSum
InfoSum is a data collaboration platform that enables organizations to analyze and activate insights across parties without sharing or moving raw data. It is used by marketing, analytics, and data teams to run privacy-preserving audience matching, measurement, and partner analytics across first-party datasets. The product uses a “data stays with the owner” approach, where computation runs against distributed datasets and only aggregated outputs are shared. It is commonly positioned for cross-company collaboration use cases where regulatory and contractual constraints limit direct data sharing.
No raw data movement
InfoSum is designed so participating organizations keep data in their own environments rather than copying it into a shared repository. This reduces the need to create duplicate datasets for collaboration and can simplify internal data governance reviews. It also supports collaboration scenarios where partners do not want to grant direct access to underlying records.
Privacy-preserving collaboration workflows
The platform focuses on clean-room style analysis such as audience overlap, segmentation, and measurement using controlled outputs. This aligns with common requirements for partner analytics where only aggregated results should be exposed. It provides a structured way to collaborate across multiple parties while limiting what each party can learn about the other’s underlying data.
Designed for partner ecosystems
InfoSum is built around connecting datasets across organizations, which fits use cases like advertiser–publisher, brand–retailer, and data provider partnerships. It supports workflows that help operationalize collaboration outputs for downstream activation and reporting. This emphasis can be advantageous for teams that need repeatable partner collaboration processes rather than one-off secure file exchanges.
Requires strong data readiness
Clean-room collaboration depends on well-prepared identifiers, consistent schemas, and clear consent/usage policies. Organizations often need data engineering work to standardize inputs and ensure outputs are meaningful. If identity coverage or data quality is weak, match rates and analytical value can be limited.
Not a general-purpose warehouse
InfoSum is oriented toward privacy-safe collaboration and does not replace core data platforms used for broad storage, transformation, and BI workloads. Teams typically still need an existing data stack for ingestion, modeling, and internal analytics. This can add integration and operational complexity compared with approaches centered on a single consolidated platform.
Output constraints can limit analysis
Privacy controls that restrict row-level access and enforce aggregation can make certain investigative or highly granular analyses difficult. Some use cases may require iterative exploration that is harder to perform when outputs are constrained by policy and privacy thresholds. Teams may need to redesign analyses to fit the clean-room model.
Plan & Pricing
No public pricing published on the official InfoSum website. Customers are directed to contact InfoSum/sales for pricing details; InfoSum provides demo Bunkers at no cost for testing (see notes).
Seller details
InfoSum Limited
London, United Kingdom
2016
Private
https://www.infosum.com/
https://x.com/InfoSumHQ
https://www.linkedin.com/company/infosum/
