Kanu AI, founded by Karan Grover, has come out of stealth with a significant $11.7m in funding. The Seattle startup is on a mission to change how companies work by creating software that runs inside a customer’s own cloud, ensuring data stays with the customer and is accessed through existing permissions.

How does Kanu AI's workflow software work?

Staff at companies using Kanu AI show the system how they work and connect the various systems they already use. Kanu then builds these workflows into software that runs in the customer’s cloud. This approach allows for human review and approval steps to be included in workflows, and users can see what Kanu read and why it reached its conclusions.

What is the impact of Kanu AI's workflow software on businesses?

The impact is substantial, with one national customer reducing its analysis process from up to eight weeks to under 10 minutes. This process integrated data from PDFs, email, spreadsheets, CRM data, and mapping systems, and the customer is on track to cut its software costs by over $1m this year.

Grover, a machine learning engineer and three-time founder, previously worked at Amazon and DoorDash. Kanu's revenue has more than doubled in every quarter since its launch, with customers spanning commercial real estate, insurance, financial services, and technology. The software is available through AWS Marketplace and Google Cloud Marketplace.

With a team of 10 and plans to expand to about 15 by the end of the year, Kanu is poised for growth. Backers like Josh Lu, general manager and partner at a16z speedrun, believe in Kanu's potential to create a future where generated workflows are truly production-grade: stable, scalable, and secure.

The funding round, led by Trilogy Equity Partners and including Accel, BMW i Ventures, and a16z speedrun, underscores the confidence investors have in Kanu AI's innovative approach to workflow software. As the AI landscape continues to evolve, companies like Kanu are at the forefront, enabling businesses to leverage AI in ways that are both efficient and secure.

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