forml

Forml is a startup that develops a data interaction model designed to commoditize machine learning. Founded in 2023 by the brother-sister team Satchel and Shaine Hirsh, the company is headquartered in San Mateo, CA, with a significant presence in Reno, Nevada. Both founders are graduates of the University of Nevada, Reno, with backgrounds in applied mathematics, computer science, and engineering. Shaine's experience includes work in computer vision and facial modeling, as well as a role at SpaceX, while Satchel was involved in a government-funded autonomous robotics project and worked at Discover and Lendflow. This combined experience revealed a market need for accessible AI tools for non-technical users.

The company's AI-powered platform enables enterprises to centralize, analyze, and act on data from various sources like PDFs, Excel, Gmail, Salesforce, and Slack, without requiring specialized machine learning expertise. It allows users to build custom machine learning models automatically to solve specific problems, generate insights, and understand their data. The platform focuses on markets where business leaders can specify and build solutions themselves, with an early focus on the regulated banking and financial-technology sectors. Forml operates with a business model aimed at providing these tools while ensuring clients maintain complete security and ownership of their data. The platform also offers API endpoints for seamless integration of its features.

Forml has secured backing from investors including Draper Associates and Boost VC. The company raised $150K in a convertible note in November 2023 and an additional $546K in a Seed Round in May 2024.

Keywords: automated machine learning, custom model generation, data interaction model, no-code AI, enterprise AI, data analysis automation, machine learning commoditization, financial technology AI, banking AI solutions, Satchel Hirsh, Shaine Hirsh, data-driven insights, secure AI platform, API integration, data centralization, business intelligence automation, predictive modeling, AI for non-technical users, natural language processing, data storytelling