Profisee
by Profisee
Profisee is an AI-accelerated master data management platform that creates consistent records of customers, products and suppliers.
About
Profisee is an AI-accelerated master data management platform that creates consistent records of customers, products and suppliers.
Profisee is a master data management platform that connects data sources, fixes data quality issues and publishes governed, clean records. It keeps a consistent view of customers, products, suppliers and locations aligned across applications, analytics and AI.
The Aisey AI assistant helps with modeling, matching and stewardship, and multi-agent workflows work with AI Foundry, Microsoft 365 Copilot or any MCP-enabled agent. Customer examples on the vendor site come from manufacturing, healthcare, financial services and non-profits.
Key features
Industries served
Product details
Vendor
Profisee
Category
Data Governance Tools
Starting price
Contact for pricing
Free trial
No
Industries
Manufacturing; Healthcare; Financial services; Non-profit
Pricing
Similar software
Acceldata
by Acceldata
Acceldata is an autonomous data and AI platform with observability, governance, data quality and lineage for hybrid environments.
Anomalo
by Anomalo
Anomalo uses agentic AI to monitor data quality, investigate issues and report on enterprise data.
AvePoint Confidence Platform
by AvePoint
AvePoint Confidence Platform provides easy-to-use, reliable backups and comprehensive data protection and governance features across multiple platforms. Its intuitive interface simplifies management and ensures data security.
Bigeye
by Bigeye
Bigeye is a data and AI trust platform with lineage-enabled data observability, sensitive data discovery and governance.
Cloudera Data Lineage (Octopai)
by Cloudera
Cloudera Data Lineage automates metadata harvesting and multi-layered lineage mapping across on-premises, cloud and hybrid systems.
Collibra Data Governance
by Collibra
Collibra Data Governance centralizes policies, stewardship and workflows so teams can enforce data rules and prove regulatory readiness.
