Observed Signal · Mar 10, 2026 · Partnership · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Precisely and Matillion Unite for Streamlined Data Modernization
Precisely announced an OEM partnership with Matillion to embed Matillion’s cloud-native Extract, Transform, Load (ETL/ELT) capabilities into the Precisely Data Integrity Suite’s Data Integration service. The integrated offering lets organizations extract, transform, prepare, and deliver data within a single suite—combining Matillion’s transformation and pipeline automation with Precisely’s data replication, quality, governance, enrichment, and spatial analytics. Precisely and Matillion say the integration reduces pipeline fragmentation, accelerates data modernization across hybrid and multi-cloud environments, and readies enterprise data for AI and automation use cases. IDC and executives from both companies are quoted emphasizing the shift toward unified data platforms and faster AI readiness.
The OEM partnership embeds cloud-native ETL into a data integrity suite, reducing pipeline fragmentation and accelerating data modernization and AI readiness—useful for enterprises but not a major platform-level policy or market-shifting event.
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Key Takeaways & Evidence Grounding
- Precisely announced an OEM partnership with Matillion to embed Matillion’s ETL capabilities into the Precisely Data Integrity Suite.
- The new offering adds cloud-native ETL/ELT, scalable data transformation, and pipeline automation to Precisely’s Data Integration service.
- The integrated suite combines Matillion’s transformation technology with Precisely’s services for data replication, quality, governance, enrichment, and spatial analytics.
- The partnership is positioned to support modernization across hybrid and multi-cloud environments and to deliver AI-ready data for analytics and automation.
Connected Companies & Entities
3 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Precisely Releases Agentic-Ready Data Enhancements
Precisely announced enhancements to its Data Integrity Suite on May 5, 2026, introducing capabilities designed to produce "Agentic-Ready Data" for AI, automation, and analytics. The release adds a Data Integration Agent (to design and configure data replication pipelines), a Data Product Marketplace delivered via a partnership with Huwise, expanded APIs for data integration, quality and catalog, and a Precisely-hosted Model Context Protocol (MCP) server to enable AI agents and tools to discover and use suite capabilities. Precisely positions the update as a way to reduce manual engineering, publish trusted data products, and make contextualized data directly usable by AI-driven workflows. Quotes in the announcement come from Franck Carassus (Huwise) and Matt Waxman (Precisely).
Precisely Unveils AI Agents to Boost Data Integrity Suite
Precisely announced new AI agents—Data Quality, Data Enrichment, and Location Intelligence—for the Precisely Data Integrity Suite. The agents work with the suite’s Gio™ AI Assistant to automate complex data workflows (rule recommendation/creation, normalization/standardization, address verification and geocoding, and enrichment) via conversational interaction. The approach combines intelligent recommendations with human oversight, built-in approvals, and governance to produce what Precisely calls "Agentic-Ready Data"—trusted, context-rich data to power AI, analytics, and automation at scale. The release builds on previous Precisely innovations including the Gio AI Assistant, Data Catalog Agent, and AI and Agentic Fabric.
Matia Launches on Snowflake Marketplace
Matia, a unified data operations platform, announced at Snowflake Summit 26 that it has launched on Snowflake Marketplace. The listing lets joint customers deploy Matia’s ETL, reverse ETL, observability, and catalog capabilities directly within their Snowflake AI Data Cloud environments, simplifying procurement and accelerating time-to-value. Matia said customers can consolidate data tooling, accelerate AI readiness for Snowflake Cortex AI, and reduce infrastructure costs (the company cites up to 61% lower data infrastructure spend for some customers). Named customers include Ramp, Drata, HoneyBook, and Lemonade. Benjamin Segal, Matia co-founder and CEO, is quoted on the Marketplace listing removing friction for customers.
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