Precisely advances agentic-ready data​​​​​​​​​​

Global data integrity leader, Precisely launches a Data Integration Agent in its Data Integrity Suite helping organizations create and share trusted, agentic-ready data for AI-driven workflows and analytics across the enterprise.

The latest enhancements to the Precisely Data Integrity Suite accelerates time to value with simplified data replication, schema mapping, and validation.  New APIs for integration, quality, and cataloguing support automated AI-driven workflows, while expanded Data Integrity Suite APIs via the Precisely-hosted MCP Server enable secure AI agent access without custom integrations.  Additionally, through its partnership with Huwise, teams can reuse trusted data, collaborate more easily, and power analytics and AI without rebuilding data for each project.

“Most enterprises are eager to move from AI experimentation to full implementation, yet inconsistent, non-compliant, and siloed data continues to be a bottleneck to forward progress,” explains Matt Waxman, Chief Product Officer, Precisely.  “The latest enhancements to the Precisely Data Integrity Suite address these challenges by helping organizations build reliable data pipelines, publish trusted data products, and make contextualized data directly usable by AI systems and automated workflows.”

“Data product marketplaces only deliver value when the data in them can be trusted,” adds Franck Carassus, co-founder and CEO, North America, Huwise.  “Our partnership with Precisely brings data integrity and data product sharing together in one place – so organizations can publish, reuse, and share high-quality data with confidence across teams and partners, and accelerate AI initiatives.”
 
“Organizations are eager to scale AI, but data readiness remains the biggest obstacle,” says Waxman.  “With the latest release of the Data Integrity Suite and our partnership with Huwise for the Data Product Marketplace, we are helping customers turn their data into a trusted, reusable asset that can directly power AI applications and agent driven workflows.”