BaseFrame
ActiveDetect what AI can automate for your team
About
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.
Founders · 2
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.
Launch
AI agents that catch risks and tradeoffs early during hardware project scoping
BaseFrame offers AI agents that assist hardware teams in project scoping, validations, and BOM generation to identify design gaps and data-driven tradeoffs before prototyping, aiming to reduce lead times and procurement issues. The launch covers how the platform scopes projects, validates findings, generates BOMs from datasheets, and enables parallel architecture simulations to reveal cost and lead-time tradeoffs.
Formerly “BaseFrame”, “Clam”, “Clam (formerly Baseframe)”, “Clam”
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