Osmos Competitive Intelligence & Landscape

Osmos (osmos.io) is a cutting-edge data engineering company focused on simplifying and automating the complex process of external data onboarding and transformation. The company's core offering, Osmos AI Data Agents, leverages advanced artificial intelligence to convert messy, disparate data into high-quality, structured, and analytics-ready assets. This technology is designed to eliminate manual data tasks, allowing data teams to focus on extracting insights and driving better decisions rather than extensive cleanup.

Osmos envisions a future where computer systems can communicate seamlessly across organizational boundaries with minimal human intervention, moving beyond the traditional manual, spreadsheet-heavy approaches to data management.

Osmos utilizes AI to automate key aspects of data ingestion, including schema detection, mapping, transformation, and validation. Its platform offers both AI-Assisted transformation, where users guide the process, and Agentic AI (Fully Automated), where Osmos handles the transformation end-to-end. The AI suggests mappings, generates transformations from natural language, applies data quality checks, and seeks approval when confidence is low, ensuring users maintain control through approvals, versioned instructions, and audit logs. This approach significantly accelerates data ingestion and cleanup, making it a simple, secure, and delightful experience for all parties involved, regardless of the data's size, shape, format, frequency, or source.

Recently, Osmos was acquired by Microsoft, and its technology is now being integrated into Microsoft Fabric to advance the future of data engineering with Agentic AI. This acquisition aims to extend Microsoft Fabric's capabilities, further enabling data teams to turn raw data into valuable assets faster and reduce manual effort. Users can now access Osmos by logging into Microsoft Fabric and adding the Osmos Workload. The company's mission is to simplify how organizations work with external data, eliminating the headaches associated with ingesting external data by teaching machines to automatically clean, format, and deliver data where it needs to go.

Osmos (osmos.io), now part of Microsoft, is at the forefront of Agentic AI in data engineering, enhancing Microsoft Fabric to streamline the transformation of raw data into analytics and AI-ready assets. The platform excels in automating the often-complex stages of data ingestion, including schema detection, mapping, transformation, and validation, by leveraging AI-powered intelligence. This allows data teams to significantly reduce manual effort and unlock greater value from their data, with AI suggesting mappings, generating transformations from natural language, and applying data quality checks while maintaining user control through approvals and audit logs.

Osmos offers key products such as Uploader and Pipelines to facilitate efficient data management. The Osmos Uploader is a self-serve, embeddable smart data uploader designed for product teams to enable end-users to import clean data seamlessly into any web property. It utilizes Generative AI for AutoMap, automatically mapping headers and columns from uploaded data to the destination schema, and features AI AutoMapping and Auto-Recall to apply transformations based on AI and past uploads.

Osmos Pipelines provide ETL capabilities, allowing users to build and manage data models within Datasets, which serve as containers for tables with primary and foreign keys for data organization and integrity.

While Osmos is now part of Microsoft, its support offerings are structured across different tiers.

Starter Support provides email support with a 24-hour business hour response.

Scale Support includes Slack and email support with a 12-hour business hour response and four onboarding sessions. For more comprehensive needs, Enterprise Support offers Slack, Teams, email, and phone support with a 4-hour business hour response, along with use case review and guidance, a named customer success manager, and on-demand assistance [docs.osmos.io/support]. Information regarding current pricing plans, specific tiers for its products, free vs. paid features, and recent pricing changes for individual customers is not publicly detailed on osmos.io or its associated documentation, given its integration into Microsoft's ecosystem.

Osmos (osmos.io) has recently undergone a significant strategic shift in its hiring and employment landscape: the company has been acquired by Microsoft. This acquisition fundamentally changes Osmos's independent hiring patterns, as its team and technology are now being integrated into Microsoft Fabric to advance "Agentic Data Engineering" [osmos.io/]. This means that direct hiring for Osmos as a standalone entity has ceased, with future recruitment efforts for its technology and talent likely to fall under Microsoft's broader hiring initiatives.

Prior to the acquisition, Osmos was focused on developing AI Data Agents that automate data ingestion, cleanup, and transformation [agenticdocs.osmos.io/]. Their blog posts discussed innovations like the Osmos AI Data Engineer and AI Data Wrangler, tools designed to simplify complex data challenges for companies [osmos.io/blog/meet-the-osmos-ai-data-engineer-code-generation-built-for-data] [osmos.io/blog/introducing-osmos-3-0]. This indicates a strategic emphasis on roles in AI, data engineering, and product development to build out their platform, which aimed to go from "Co-Pilot to Auto-Pilot" in data management [osmos.io/blog/introducing-osmos-3-0].

The acquisition by Microsoft signals a highly positive outcome for Osmos and its employees, as it's an integration rather than a shutdown or layoff scenario. As CEO Kirat Pandya stated, joining Microsoft provides the opportunity to "accelerate what we’ve been building and deliver it to a far broader audience—directly where customers already o" [osmos.io/a-note-from-kirat]. This implies that the Osmos team's expertise in agentic AI and data engineering will continue to be leveraged and expanded within Microsoft Fabric, rather than leading to layoffs. The strategic move allows Osmos's innovations, such as generating production-grade PySpark notebooks, to reach a much larger user base within the Microsoft ecosystem [osmos.io/blog/osmos-ai-data-engineer-is-now-ga-with-self-configuration-capability].

In a significant development for the data engineering sector, Osmos (osmos.io) has been acquired by Microsoft to enhance Microsoft Fabric with Agentic AI capabilities [https://osmos.io/]. This acquisition marks a pivotal moment in Osmos's financial journey, integrating its innovative technology for autonomous AI data agents directly into Microsoft's ecosystem. The goal is to expedite the conversion of raw data into analytics and AI-ready assets, reducing manual effort and unlocking greater value from data for teams globally.

Prior to the acquisition, Osmos had been actively developing its platform, notably launching Osmos 2.0 and its External Data Platform following a Series A funding round [https://www.osmos.io/blog/osmos-2-0]. While specific revenue figures and valuation details for these earlier stages are not publicly disclosed in the provided sources, the company's ambition to become the "railroads for inter-company data sharing" underscores a strong growth trajectory and investor confidence. The Series A funding enabled significant expansion, including the development of over 60 connectors in private beta.

The strategic partnership with Microsoft predates the acquisition, with Osmos unveiling a fully autonomous AI Data Wrangler on Microsoft Fabric in November 2024 [https://www.osmos.io/press/osmos-partners-with-microsoft-fabric]. This collaboration showcased Osmos's ability to revolutionize data ingestion and preparation. The subsequent acquisition, announced by Osmos CEO Kirat Pandya [https://www.osmos.io/a-note-from-kirat], solidifies the integration, with Osmos's technology becoming a core part of Microsoft Fabric to empower data teams with advanced Agentic Data Engineering.

Osmos (osmos.io) actively participates in and contributes to significant industry events, particularly those centered around Microsoft Fabric and agentic AI for data engineering. A notable highlight was the release of their AI Data Wrangler at Microsoft Ignite in November 2024, where Osmos was recognized as one of the first organizations to deliver a Public Preview Workload on Microsoft Fabric. This event underscored their commitment to advancing data engineering with Agentic AI [https://www.osmos.io/blog/designing-for-microsoft-fabric-how-osmos-built-the-ai-data-wrangler].

Further solidifying their presence within the Microsoft Fabric ecosystem, Osmos proudly announced at FabCon 2025 that their AI Data Wrangler had reached General Availability (GA), making them one of the first Microsoft Fabric Partners to achieve this milestone. This announcement also introduced their new feature, "AI Wrangler Context" [https://www.osmos.io/blog/osmos-ai-data-wrangler-is-now-ga-with-self-configuration-capability]. Their strategic partnerships extend beyond Microsoft, as demonstrated by the launch of the Osmos AI Data Engineer, a Built on Databricks solution, in September 2025, in collaboration with Databricks [https://www.osmos.io/press/osmos-io-partners-with-databricks-to-launch-ai-data-engineer].

Osmos frequently highlights its innovations and capabilities through various channels, including blog posts and press releases that detail their AI-powered data ingestion technologies and how they revolutionize data preparation. For instance, their collaboration with Microsoft to launch a fully autonomous AI Data Wrangler on Microsoft Fabric was detailed in a press release from November 2024, emphasizing their role in streamlining data ingestion and preparation [https://www.osmos.io/press/osmos-partners-with-microsoft-fabric]. These announcements and participations are crucial for showcasing how Osmos helps data teams turn raw data into analytics and AI-ready assets faster, reducing manual effort and unlocking greater value [https://www.osmos.io/].

Through these key event participations and product launches, Osmos consistently demonstrates its leadership in agentic AI for enterprise data, driving autonomous solutions for ingestion, cleanup, and transformation. They invite potential users to experience the power of their solutions, often through demos and direct engagement, reinforcing their commitment to a future where autonomous AI agents simplify complex data challenges [https://www.osmos.io/blog/introducing-osmos-3-0].