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Pulse

@Pulse__AI
Production-grade unstructured document extraction
San Francisco, CA
runpulse.com
Joined June 2024
3
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796
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  • user avatar
    Pulse
    @Pulse__AI
    Jul 1
    Every document extraction system can read the text on a form, yet almost none of them can read the pen, so the checkmarks, circles, underlines, and strikethroughs people use to record decisions get treated as noise and quietly ignored. Today Pulse is launching Selection Mark, a
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    Pulse
    @Pulse__AI
    Apr 23
    Table extraction is one of the hardest unsolved problems in enterprise document intelligence, because tables encode relationships where position is meaning and a number landing in the wrong cell doesn't just look wrong, it breaks downstream analytics, compliance workflows, and
    runpulse.com
    Table Extraction Benchmarks: What They Measure, What They Miss, and What the Field Needs | Pulse AI
    A close look at the four most-cited table extraction benchmarks, what they measure, where they fall short, and what enterprise document intelligence actually requires. | Pulse AI
  • user avatar
    Pulse
    @Pulse__AI
    Dec 19, 2025
    Enjoyed this!
    user avatar
    Ritvik Pandey
    Pulse
    @ritvikpandey21
    Dec 19, 2025
    We spent the past couple weeks delivering holiday gifts to 100 startups around SF to close out the year. Got to do a few office visits along the way, some of our favorite offices were @usepylon , @MomenticAI , and @juicebox_work . Huge thanks to the teams for the office tours.
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  • user avatar
    Pulse
    @Pulse__AI
    Dec 18, 2025
    For a long time we put all our energy into infrastructure. Models, pipelines, evaluation. Design took a back seat. As more teams started depending on @Pulse__AI in production, it made sense to bring the brand up to the same standard. The new site goes deeper into how Pulse
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  • user avatar
    Pulse
    @Pulse__AI
    Sep 25, 2025
    Pulse is now officially part of @cloudera's Enterprise AI ecosystem. Excited to partner with Cloudera and continue delivering the most accurate document extraction models at enterprise scale.
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