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B2B SaaS platform integrates AI/ML into business applications for enterprises, focused on low-code AI integration.
Based in Washington, DC, AI Squared provides a low-code enterprise software platform that integrates artificial intelligence and machine learning models directly into existing business applications. The B2B SaaS provider enables organizations to embed AI-driven insights into everyday workflows, significantly shortening integration times from months to hours for internal data science teams. Founded in 2021 by former National Security Agency Chief of Operations Data Science Benjamin Harvey, the growing company serves private sector enterprises, financial services, and federal government agencies. AI Squared has raised approximately $20 million in total venture funding, including a $6 million seed round and a recent Series A venture financing led by Ansa Capital and NEA. Operating with approximately twenty-two employees, the firm maintains strategic technology partnerships with industry leaders like Databricks, Nvidia, and Microsoft to streamline complex machine learning model deployment.
AI Squared has raised $20.0M across 2 funding rounds.
AI Squared has raised $20.0M in total across 2 funding rounds.
AI Squared has raised $20.0M in total across 2 funding rounds.
AI Squared's investors include Ansa Capital, Fifth Wall, Fika Ventures, Kain Capital, Greg Papadopoulos, New Enterprise Associates, Norwest Venture Partners, Ridgeline Partners, Susa Ventures, Manish Patel, Peter Sonsini, Roger Ferguson.
AI Squared has raised $20.0M across 2 funding rounds. Most recently, it raised $14.0M Series A in April 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2024 | $14M Series A | Ansa Capital | Fifth Wall, Fika Ventures, Kain Capital, Greg Papadopoulos, NEW Enterprise Associates, Norwest Venture Partners, Ridgeline Partners, Susa Ventures, Manish Patel, Peter Sonsini, Roger Ferguson, NEA, Ridgeline | Announced |
| Jun 1, 2022 | $6M Seed | NEA | Ansa Capital, Greg Papadopoulos, NEW Enterprise Associates, Ridgeline Partners, Manish Patel, Peter Sonsini | Announced |
AI Squared is a San Francisco-based technology company founded in 2021 that builds a low-code platform for seamless AI integration into business applications like CRMs and ERPs.[1][3][4] It serves sectors including financial services, government, health life sciences, sales, marketing, operations, and engineering teams, solving the problem of AI models failing to reach production—estimated at up to 90%—by enabling one-click embedding of predictive and generative AI insights for decision-making, workflow optimization, and real-time impact.[1][2][3] The company has raised $19.8M total, including a $13.8M Series A led by Ansa Capital, Latimer Ventures, NEA, and Ridgeline about a year ago, fueling team expansion and platform maturity; it has secured contracts with the U.S. Air Force and CRADAs with the NSA and NGA.[1]
Growth momentum is strong, with an open-source initiative BeyondML, integrations for tools like Google Sheets and Slack, and a focus on 10x faster AI/ML model building, revenue growth via sales insights, cost reduction, and competitive edges through predictive analytics.[2][3]
AI Squared was founded by Benjamin Harvey, PhD, who drew from his experience at the National Security Agency (NSA) and Databricks to address AI adoption barriers in enterprises.[1][4] Some sources note a 2019 founding, but most confirm 2021 as the official incorporation year in the DC area before basing in San Francisco.[1][4] The idea emerged from observing that enterprises struggle to deploy AI models into production, wasting investments; Harvey's platform bridges data science and business users by embedding AI directly into daily tools.[1][4]
Early traction included government partnerships like U.S. Air Force contracts and CRADAs with NSA and NGA, validating its low-code approach for secure, rapid AI integration.[1] This humanizes the company as a Black-owned venture tackling real-world AI ROI challenges.[1]
AI Squared rides the enterprise AI adoption wave, where surging investments demand practical deployment amid generative AI hype and predictive analytics maturity.[1][2][3] Timing is ideal as businesses face prioritization challenges post-AI boom, with market forces like data silos, security needs (e.g., government compliance), and ROI pressures favoring low-code platforms that multiply AI value without rip-and-replace overhauls.[1][3][5]
It influences the ecosystem by democratizing AI for non-technical users—product owners, sales teams, executives—reducing the developer bottleneck and enabling sectors like defense and finance to operationalize models faster.[1][2][4] This positions it amid competitors in AI infrastructure, amplifying cross-industry applications.[1]
AI Squared is primed to scale as enterprises prioritize AI ROI amid maturing LLMs and regulatory scrutiny, expanding from government wins into commercial sectors with its feedback-driven platform.[1][3] Trends like agentic AI, multimodal models, and edge deployment will shape its journey, potentially through deeper integrations and international growth; influence may evolve by powering "AI for all" in workflows, compounding value exponentially as per its mission.[2][3][5]
Tying back, this low-code enabler turns AI promise into production reality, fueling the decision-making revolution it set out to ignite.