Profisee

Overview

Profisee is a master data platform pitched at business users rather than integration specialists, model-driven and configuration-led rather than a packaged application with a fixed model.

Its licensing is the clearest differentiator in this category. Unlimited data domains and attributes are included, so pricing is domain-agnostic and volume-based on records, which is the direct opposite of Informatica's per-domain model.

That matters commercially: a multi-domain programme prices very differently between the two, and Profisee is the one that does not charge you for adding a domain.

Deployment is the broadest here, published as the only master data platform available as software as a service, platform, infrastructure, hybrid or on-premises, across Azure, AWS and Google Cloud.

Its deepest alignment is with Microsoft, covering native Fabric integration with OneLake, Purview, Azure OpenAI, the Power Platform, a certified Microsoft 365 agent and a one-click migration from Master Data Services.

That lineage is real rather than marketing: its founders came from the team whose product Microsoft acquired and shipped as Master Data Services.

Its second differentiator is AI-driven setup. Its assistant has agents, one-click configuration skills and a chat interface, and can model, map and configure the system, with a claim of a configured environment in about ten minutes.

Matching is positioned as explainable, deliberately contrasted with black-box resolution, combining exact, fuzzy and machine-learning matching with side-by-side steward review.

Vector matching added in 2026 works on meaning rather than string similarity, so water matches its chemical formula without maintaining synonym lists.

Two gaps to note when comparing: it does not publish whether the golden record is physically materialised, and it does not publish unmerge as a named capability.

Key features and capabilities

The same headings are used for every master data management entry, so two tools can be read side by side.

Domains and data model

• Customer, product, supplier and reference data, plus hierarchy management as a first-class capability
• The data model is definable, with unlimited domains and attributes included in the licence
• Multidomain is inherent rather than an upsell, since pricing is domain-agnostic
• No catalogue of separately sold pre-built domain applications is published
• Two editions, one scoped to reference data and migration, the other to full master data management

Matching and survivorship

• Exact, fuzzy and other common match types, with a machine-learning matching engine
• Probabilistic matching flags records needing manual review rather than merging silently
• Vector matching added in 2026 uses semantic embeddings, matching on meaning rather than string similarity
• Survivorship is attribute-level with multiple rule types, source system priority being the worked example
• Whether the golden record is physically materialised is not published, though the evidence leans that way

Stewardship and workflow

• A steward interface for searching, browsing, viewing, authoring and editing master records
• Workflow captures cross-functional business processes in sequence, assigning responsibilities and notifying stewards
• Candidates are shown side by side in a match group, with merge criteria reviewable before any change
• Full audit trails, with the AI agents explicitly framed as operating while maintaining them
• Unmerge is not published as a named capability

Hierarchies, quality and governance

• Hierarchy management for defining and managing complex hierarchical relationships
• Reference data management as a named domain, with a one-click upgrade path from Microsoft's own product
• Validation, standardisation, correction and third-party enrichment as named capabilities
• Governance catalogue integration is specific and named, with Microsoft Purview and a dedicated demo
• Classification tags data with business terms, and policies can be created, shared and enforced

How mastered data is consumed

• Publishing notifies downstream applications as data changes
• Sharing pushes trusted golden records back into source systems, and merges update sources too
• REST and GraphQL APIs plus webhooks, with real-time synchronisation across systems
• An MCP server exposes governed master data to Microsoft Copilot, Claude and Gemini
• A Microsoft 365 agent and Power Platform connector bring master data into everyday tools

Integrations

• Pre-built connectors to source systems and databases
• The deepest Microsoft alignment here, spanning Fabric with OneLake, Purview, Azure OpenAI and the Power Platform
• A documented migration path from Microsoft Master Data Services
• Data platforms including Azure Databricks and Snowflake, and applications including Salesforce and SAP
• Available through the Azure Marketplace and as a native Fabric workload

Where it runs and what it costs

• Published as the only master data platform available as software as a service, platform, infrastructure, hybrid or on-premises
• Hosted in Azure by Profisee, or self-managed in any cloud or on your own hardware
• Clouds covered are Azure, AWS and Google Cloud
• A SOC 2 Type 2 report covering health data requirements is published
• Priced on records; regions are not published

Pricing

Price on requestQuote only; priced per record, domains unlimited

Quote-only, though the structure is more specific than its rivals publish. The unit is records mastered, volume-based with bulk pricing at higher volumes, and crucially unlimited domains and attributes are included at no extra cost, which is the direct opposite of Informatica's per-domain records basis. There is no per-user metric. Two editions exist, one for reference data and migration, one for full master data management. A free trial of the Microsoft Fabric workload is offered but its length, record limits and cost are not published.

Vendor pricing page →

Demos and videos

• Profisee master data management demo Product demo · YouTube
• Profisee and Microsoft Purview integration Tutorial · YouTube

About Profisee

Profisee is based in the Atlanta area and traces its lineage to Stratature, whose product Microsoft acquired in 2006 and shipped as Master Data Services; its principals went on to create Profisee. Neither its founding year nor its founders are published on any current page, and unusually its ownership structure is not published either: no investor is named, and a 2017 post refers only to an unnamed private equity firm. Its chief executive is Len Finkle. It reports a 37% compound growth rate in annual recurring revenue for the year to January 2026 and a team of over a hundred, naming MD Anderson, Intel and Bacardi.

Alpharetta, Georgia · profisee.com