What is Precisely Data Integrity Suite?

Precisely announced new capabilities in its Data Integrity Suite to help organizations build, share, and use high-quality governed Agentic-Ready Data for AI, automation, and analytics initiatives. The release introduces a Data Integration Agent, Data Product Marketplace, and expanded MCP-enabled APIs [citation:8].

Key Features

  • Data Integration Agent: Helps teams design and configure data replication pipelines by handling setup, schema mapping, and validation tasks
  • Data Product Marketplace (with Huwise): Publish and share trusted data products for internal and external use
  • New APIs: Programmatic control over data pipelines, quality rules, and metadata
  • MCP Server: Precisely-hosted Model Context Protocol server enables AI agents to securely discover, access, and use data capabilities without custom integrations

Why This Matters

Organizations are eager to scale AI, but data readiness remains the biggest obstacle. The Data Integrity Suite helps customers turn their data into a trusted, reusable asset that can directly power AI applications and agent-driven workflows [citation:8].

Existing Capabilities

  • Gio AI Assistant: Previously announced AI assistant for data workflows
  • Location Intelligence MCP: Previously released MCP server for location-based data

Pricing

Enterprise licensing. Custom pricing based on data volume and capabilities.

Pros

  • Addresses the #1 obstacle to AI adoption — data readiness
  • Agentic-Ready Data specifically designed for AI agents
  • MCP server eliminates custom integration work
  • Data Product Marketplace enables data reuse
  • Trusted Precisely brand in data integrity

Cons

  • Enterprise-focused, expensive for SMB
  • Requires existing data infrastructure
  • Pricing not transparent
  • Complex implementation for large organizations

Who Should Use It?

Perfect for: Large enterprises with complex data landscapes, organizations scaling AI initiatives, and data teams needing governed data for agent workflows.

Verdict

Precisely correctly identifies data readiness as the key constraint in AI adoption. The Data Integrity Suite provides the infrastructure needed for enterprise AI at scale.

Rating: 4.2/5 - Essential data infrastructure for enterprise AI.