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SwingVision is an AI sports app for tennis and pickleball that turns an iPhone or iPad into an automated scoring, statistics, and line-calling system. It records your match, tracks every shot, generates highlights, and reports detailed performance metrics so you can see exactly where points are won and lost.
SwingVision is an AI sports app for tennis and pickleball that turns an iPhone or iPad into an automated scoring, statistics, and line-calling system. It records your match, tracks every shot, generates highlights, and reports detailed performance metrics so you can see exactly where points are won and lost.
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vidIQ is a YouTube growth platform that layers AI coaching, keyword research, daily content ideas, thumbnail tools and real-time analytics on top of a browser extension. It scores your videos for SEO, finds low-competition keywords and recommends titles, tags and thumbnails as you upload.
vidIQ is a YouTube growth platform that layers AI coaching, keyword research, daily content ideas, thumbnail tools and real-time analytics on top of a browser extension. It scores your videos for SEO, finds low-competition keywords and recommends titles, tags and thumbnails as you upload.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
