- AI integration platform AI Squared raised $13.8 million in Series A funding this week.
- Participating in the round were ANSA Capital (Allan Jean-Baptiste), NEA (Greg Papadopoulos), and Roger W. Ferguson Jr., former Vice Chair of the Federal Reserve System and CEO of TIAA.
- AI Squared made its Finovate debut at FinovateSpring 2023 in San Francisco, California.
AI integration platform provider AI Squared has raised $13.8 million in Series A funding. The Washington, D.C.-based startup, which made its Finovate debut at FinovateSpring last year, said that the investment will help the company fulfill its goal of “fostering widespread AI adoption by embedding AI-generated data insights directly into mission-critical applications and everyday workflows,” wrote AI Squared Founder and CEO Benjamin Harvey in a blog post this week.
“As we embark on the next phase of our post-Series A journey,” Harvey added, “AI Squared remains committed to advancing seamless AI integration and real-time feedback capabilities through the development of reverse ETL and lean AI functionalities.”
Participating in the Series A were ANSA Capital (Allan Jean-Baptiste), NEA (Greg Papadopoulos), and Roger W. Ferguson Jr., former Vice Chair of the Federal Reserve System and CEO of TIAA. The investment takes the company’s total equity capital to $19.8 million, according to Crunchbase.
Founded in 2019, AI Squared helps companies integrate AI functionality into their applications. The company’s integration platform enables the integration of AI and machine learning technology into any web-based application, shortening integration times from eight months to eight hours. AI Squared enables companies to build seamless connections between data sources and applications; give their business teams easily consumable, relevant, actionable insights; and create feedback loops between consumers and developers that enhance data quality.
In his statement on the company’s recent funding, Harvey underscored that third point about AI Square’s technology, emphasizing it as a “core differentiation” from other providers. “By incorporating real-time feedback mechanisms, like survey questions, directly within business application workflows, we create a feedback loop between line of business employees and data science teams,” Harvey explained. “This allows for prompt improvements to the performance and accuracy of AI models and how insights are delivered to the business.” The result, Harvey said, was a gain in “confidence in AI’s effectiveness within business operations and workflows.”
Learn more about the company and its founder. Read our interview with AI Squared’s Benjamin Harvey from August of last year.
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