Observed Signal · Jun 25, 2026 · Partnership · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Leidos Integrates DataOS with HeadWay Mission OS
Leidos and The Modern Data Company announced a partnership to integrate Modern Data’s AI-native DataOS® into Leidos’ HeadWay Mission OS™, enabling federal agencies to connect, organize and use fragmented data across cloud and on‑premise systems without major platform replacements. The integration layers secure data access, governance and reusable data products into HeadWay Mission OS to accelerate AI readiness, shorten implementation timelines and protect existing systems. Leidos will embed DataOS at the core of HeadWay Mission OS to power repeatable mission solutions, and the move supports Leidos’ NorthStar 2030 digital modernization strategy. The announcement cites The Modern Data Report 2026 findings on data reliability and discovery challenges.
The partnership advances government data infrastructure and AI readiness by enabling secure access and governance across legacy and cloud systems, but its direct impact on the broader AdTech/MarTech industry is limited and sector-specific.
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Key Takeaways & Evidence Grounding
- Leidos and The Modern Data Company announced a partnership to connect and organize fragmented federal data.
- The collaboration brings DataOS®, Modern Data’s AI-native data operating system, into Leidos’ HeadWay Mission OS™.
- DataOS adds a secure layer linking data between cloud and on-premise systems to create reusable data products for AI and analysis.
- Leidos will embed DataOS at the core of HeadWay Mission OS to power repeatable mission solutions and shorten development cycles.
- The Modern Data Report 2026 found 68% of data practitioners say their data isn’t reliable enough for AI and 89% say finding the right data is among their most time-consuming tasks.
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
DataOps Launches DG‑OS Data Governance OS
DataOps announced DG-OS™, a cloud-agnostic, AI-native Data Governance Operating System designed to convert governance from a static compliance activity into a continuously operating foundation for analytics, automation and AI. The platform centers on a patent-pending Data Quality Engine (DQE™) that evaluates record-level data against business-defined quality standards and recommends or automates remediation. DG-OS bundles governance orchestration, stewardship, data quality monitoring and remediation, master data management/entity mastering, data mesh/domain governance, workflow automation, and AI-ready certification controls. It is built from enterprise deployments across industries such as manufacturing, aerospace and defense, healthcare and financial services, and is designed to operate across modern enterprise environments including Snowflake, Databricks, SAP and Microsoft. DataOps says it is actively engaging with enterprise customers to expand commercial deployments of the DG-OS platform.
OpenLegacy Integrates with AWS Transform for Modernization
AWS and OpenLegacy announced an integration of OpenLegacy into AWS Transform for Modernization to help enterprises keep modernized cloud workloads connected to remaining mainframe systems during incremental migrations. The embedded OpenLegacy experience will generate integration bridges and API facades inside AWS Transform for Modernization, preserving communication between transformed cloud workloads and live mainframes to reduce risk and disruption. The integration will be publicly demonstrated by Omri Kessel (AWS General Manager, Agentic AI Modernization) at AWS Summit New York on June 17, 2026. Target industries include financial services, insurance and telecommunications.
Infometry Partners with dbt Labs for AI-Ready Data Transformation
Infometry, an AI and data solutions company focused on enterprise modernization and analytics, announced a strategic partnership with dbt Labs, creator of the dbt (data build tool). The collaboration aims to combine Infometry’s expertise in AI, data engineering and cloud modernization with dbt Labs’ analytics engineering framework to help enterprises modernize legacy data ecosystems, accelerate cloud transformation, and build trusted, AI-ready data foundations. The partnership emphasizes improving data reliability, governance, observability, and time-to-insight, and will support scalable, governed cloud data platforms and self-service analytics. The announcement was published by MarTech Series on June 3, 2026.
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