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§ Private Profile · Foster City, CA, USA
Unified data delivery and analytics platform for enterprises, enabling real-time, transaction-level data access and AI workflows.
Incorta, based in Foster City, California, provides a unified data delivery and analytics platform that bypasses traditional ETL and warehousing for real-time, transaction-level data access. It enables instant querying of billions of rows from complex enterprise systems, supporting business intelligence, operational analytics, and AI-driven workflows for sectors including manufacturing and financial services. The company has raised substantial capital, including a $30 million Series C in 2019 and a $120 million Series D in 2021, supporting over 200 hires in 2021 for global expansion. Its investor base includes GV, Kleiner Perkins, M12, and Prysm Capital, with customers such as Broadcom, Credit Suisse, and Shutterfly. The company was founded in 2013 by former Oracle executives. Its business model centers on sells a SaaS data analytics platform to enterprises via direct sales and partnerships like Carahsoft for government.
Incorta has raised $175.0M across 4 funding rounds.
Incorta has raised $175.0M in total across 4 funding rounds.
Incorta has raised $175.0M in total across 4 funding rounds.
Incorta's investors include Muhammad Mian, Ballistic Ventures, B Capital Group, Cyber Mentor Fund, Forgepoint Capital, Sierra Ventures, The General Partnership, Google Ventures, Kleiner Perkins, M12, National Grid Partners, Sorenson Capital.
Incorta has raised $175.0M across 4 funding rounds. Most recently, it raised $120.0M Series D in June 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2021 | $120M Series D | Muhammad Mian | Ballistic Ventures, B Capital Group, Cyber Mentor Fund, ForgePoint Capital, Sierra Ventures, The General Partnership, GV, Kleiner Perkins, M12, National Grid Partners, Sorenson Capital, Telstra Ventures | Announced |
| Aug 1, 2019 | $30M Series C | ROB Rueckert | Ballistic Ventures, B Capital Group, Cyber Mentor Fund, ForgePoint Capital, Sierra Ventures, The General Partnership, RON Wohl, GV, Kleiner Perkins, M12, Telstra Ventures | Announced |
| Sep 1, 2017 | $15M Series B | Rashmi Gopinath, Saad Siddiqui, Theodore Schlein | Ballistic Ventures, B Capital Group, Cyber Mentor Fund, ForgePoint Capital, The General Partnership, Sierra Ventures, RON Wohl, GV | Announced |
| Feb 1, 2017 | $10M Series A | Karim Faris | Ballistic Ventures, B Capital Group, RON Wohl | Announced |
Incorta is a unified data analytics platform that enables real-time insights directly from raw business data, bypassing traditional ETL processes and data modeling through its patented Direct Data Mapping™ technology.[1][2][6] It serves enterprises in industries like technology, financial services, healthcare, and consumer goods by integrating data from ERPs, CRMs, and cloud sources such as AWS, Azure, and Google Cloud, delivering self-service analytics, AI/ML features, and prebuilt dashboards to IT teams and business users.[1][2][4] With $187 million in funding, around 400 employees, and $29.4 million in revenue, Incorta demonstrates strong growth by simplifying data workflows, reducing preparation time from months to weeks, and supporting hybrid cloud/on-premises deployments.[1][5]
The platform solves core data challenges like slow queries, data silos, and complex transformations, empowering users with 100% data fidelity for transaction-level analysis, anomaly detection, natural language querying, and agentic AI tools like NexusConnect and NexusAIDA.[2][3][7] This positions Incorta as a competitor to Alteryx, Domo, Qlik, and Tableau in the unified data management space.[3]
Founded in 2013 and headquartered in Foster City, California (listed as 950 Tower Lane, Suite 1550), Incorta emerged to address frustrations with traditional data warehousing's delays and complexities.[1][3] The idea stemmed from the need for instant access to live, raw data from any source, enabling self-service analytics without heavy engineering—directly analyzing "digital twins" of source systems via Direct Data Mapping™.[2][6][8] Early traction built on this innovation, with the company raising over $187 million from investors and growing to 400 employees while expanding integrations and AI capabilities.[1]
Pivotal moments include a 2025 shift toward AI-driven features announced by CEO Osama Elkady, introducing NexusAnalytics, NexusWorkflows, and prebuilt AI agents in response to customer feedback and GenAI trends post-ChatGPT.[3] This evolution, fueled by product head Ashwin Warrier, transitioned Incorta from core data integration to agentic AI for custom applications and real-time decision-making.[3]
Incorta rides the wave of AI-driven data analytics and unified data platforms, capitalizing on exploding enterprise AI investments three years after ChatGPT's 2022 launch, where firms seek real-time, agentic tools amid data explosion from multi-cloud and ERP systems.[3] Timing aligns with market shifts away from brittle ETL/warehouses toward direct raw-data analysis, amplified by cloud migrations and demands for operational AI in high-tech, finance, and healthcare.[1][4][7] Favorable forces include hybrid/multi-source data growth and regulatory needs for speed (e.g., reports from weeks to minutes), positioning Incorta to influence ecosystems by feeding BI tools like Synapse, BigQuery, Snowflake, and enabling custom AI apps.[2][3][8]
As a Google Cloud partner, it strengthens the open data delivery fabric, reducing vendor sprawl and empowering self-service, which accelerates broader adoption of data-driven decisions.[10]
Incorta's pivot to AI agents and Nexus tools signals acceleration into agentic workflows, likely expanding prebuilt apps for finance, supply chain, and high-tech while deepening cloud partnerships.[3][4] Trends like GenAI maturation, real-time anomaly detection, and NLP democratization will propel growth, potentially boosting revenue beyond $29.4M through marketplace apps and Spark-accelerated loads.[1][7] Its influence may evolve by dominating "data foundation for AI," challenging incumbents and enabling enterprises to act on live insights—reinforcing its core promise of transforming raw data chaos into instant, actionable power.[2][6]