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Detect what AI can automate for your team
Most teams want to plug in AI but don't know where to get started. BaseFrame's desktop app finds exactly what to automate for each employee using the historic data on their computer. Instead of relying on screen recording or generic AI demos, we use the existing history of how work gets done across email, docs, Slack, calendar, browser, and files to identify the highest-value automations. We use local models so that your sensitive data doesn’t have to leave your system. Once you find a set of automations, send them off to your automation tool of choice and share them with your team so that everyone can get productivity boosts.
BaseFrame finds tasks you can automate, understands how you do them, and sets them up in your existing AI tools. It aims to reduce AI fatigue by discovering automations and integrating with current AI capabilities.
BaseFrame analyzes repetitive work, identifies tasks that can be automated, and configures those automations to run within your existing AI tools. It discovers potential automations, maps them to user workflows, and enables setup and execution through its platform, leveraging current AI tool features.
Who it’s for: Teams and organizations looking to reduce repetitive work by leveraging AI to automate tasks using their existing AI toolset
Hiring/traction mentions absent; funding mention includes YC backing implied by text
Co-Founder and CEO of BaseFrame (W26). Previously first full-time employee and founding engineer at HappyRobot, where I worked on omni-channel AI communication, AI evals, and enterprise system integrations. Helped grow company to 100+ in size and Seed to Series B. Majored in EECS and Business at UC Berkeley M.E.T.
Co-Founder of BaseFrame (W26). Previously a Fellow at Sutter Hill Ventures. Worked on the data ingestion infrastructure at Sigma Computing and remote agents orchestration and containerization at Augment Code. Studied CS at Berkeley.
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