The infrastructure for agentic enterprise AI. AI Squared connects governed data to the apps teams already use - so machine learning stops living in notebooks and starts showing up in the workflow.
Most enterprise AI never ships. By the industry's own reckoning, roughly 87% of AI projects never reach production - not because the models are weak, but because the last stretch, from a data warehouse to a person's actual screen, is slow, complex, and disconnected from the people meant to use it. AI Squared, founded in 2019, built its entire business around that gap.
The premise is unglamorous on purpose. Rather than train another foundation model, AI Squared assembles the integration layer that carries insights out of platforms like Databricks and Snowflake and into the tools employees already open every day: CRMs, ERPs, spreadsheets, ServiceNow, Slack, and custom apps.
The company calls this "operationalizing agentic AI." In plainer terms: it makes AI show up where work happens, with governance, traceability, and audit logs attached. Its flagship platform, UNIFI, ships with more than 100 connectors linking data sources, large language models, and business applications, and lets teams build workflows in natural language with controls applied automatically.
That focus reflects the founders' background. Company founder Benjamin Harvey spent more than a decade at the National Security Agency and later worked on Databricks' data science team - a lineage that shows up in AI Squared's security-first posture and its comfort with regulated, high-stakes buyers.
It's not about shipping models, it's about delivering outcomes that enterprises can trust, measure, and scale.
Figures reflect company statements and publicly reported industry estimates; bar lengths are illustrative, not to scale.
The core platform for enterprises scaling AI beyond pilots - 100+ connectors, governed workflows, natural-language building, and embedded delivery into business apps.
A mission-critical build hardened for secure government and defense environments, with zero-trust architecture, RBAC, and audit logging.
AI agents that growing businesses can deploy without an infrastructure overhaul - a lighter on-ramp to agentic workflows.
An open-source reverse ETL and data-activation platform that turns any warehouse into a customer data platform. Acquired in 2024; powers a fast-growing connector community.
AI Squared is a B2B enterprise software company. It licenses its integration and delivery platform - UNIFI, UNIFI Federal, and Sparx - to large organizations and government agencies, typically on a subscription basis, with virtual private cloud or on-premises deployment for buyers who cannot send data outside their own walls.
The open-source Multiwoven project sits underneath as both a community and a top-of-funnel engine: it draws data engineers, seeds a large connector ecosystem, and demonstrates the plumbing that the commercial product productizes and governs.
In the market, AI Squared lands in the same conversation as data-activation and reverse-ETL players like Hightouch and Census, and against broader MLOps and AI-integration platforms - and, often, against in-house engineering teams building the last mile themselves.
Its wedge is delivery plus governance plus federal readiness. Customers referenced across public materials include financial institutions, supply chain and logistics firms, and U.S. government and defense agencies, with partners spanning Databricks, Snowflake, NVIDIA, and Microsoft.
87% of AI projects never reach production because integration is slow, complex, and disconnected from end users.
Benjamin Harvey and co-founders start the company to tackle the enterprise AI "last mile."
Ansa Capital leads the round, with NEA and Ridgeline participating, taking total funding to about $20M.
AI Squared acquires the open-source reverse ETL platform to speed data and AI delivery into business apps.
The technology executive comes aboard as President and Chief Operating Officer.
Darren Kimura is promoted to Chief Executive Officer to drive the AI-integration strategy.
It provides an enterprise platform that integrates AI and machine learning insights into the business applications people already use, connecting governed data sources to CRMs, ERPs, spreadsheets, and custom apps.
The company was founded in 2019 by Benjamin Harvey - a former NSA data scientist - along with co-founders including Allan Jean-Baptiste, Brian Landron, Jacob Renn, and Nagendra Dhanakeerthi.
AI Squared raised a $13.8M Series A in April 2024 led by Ansa Capital, with NEA and Ridgeline participating, bringing total funding to roughly $20M.
Multiwoven is the open-source reverse ETL and data-activation platform AI Squared acquired in 2024, which turns any data warehouse into a customer data platform and powers a large connector ecosystem.
Its platform is used by Fortune 500 enterprises, financial institutions, supply chain and logistics firms, and U.S. government and defense agencies.