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everychart

everychart

数据基础架构与分析

Distributed intelligence - Building the real-time intelligence blueprint that semantically grounds agents and humans.

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Check out our demo with Lex Fridman podcasts at: https://everychart.io. We combine event-driven distributed architecture with knowledge agents to autonomously build your intelligence blueprint, from ingest, to taxonomy, analysis, validation, and graph development. This blueprint can be accessed by other classes of agents and by humans for semantic grounding in the intelligence layer. This enables greater discourse, meaning, and actions across complex information, topics and domains.

网站
https://everychart.io
所属行业
数据基础架构与分析
规模
2-10 人
类型
私人持股

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  • 查看everychart的组织主页
    everychart

    48 位关注者

    Happy to share updates on our knowledge network navigation.

    查看Heidi Bennett的档案
    Heidi Bennett

    Founder@everychart -- Building the real-time intelligence blueprint that semantically grounds agents and humans.

    UPDATE: Excited to share progress on our Lex Fridman podcast POC at everychart! We've successfully implemented an AI moderator that helps navigate CoreIdeas, episodes, and guests across ~450 Lex Fridman episodes. The interactive graph visualization updates in real-time as the moderator guides you through related content and connections. Getting the conversational flow of the navigator agent to feel natural has been challenging (especially on a startup budget ??), but the potential impact makes it worth it. This technology could transform how we explore complex topics across research, literature, policy analysis, and enterprise knowledge. Would love your thoughts on this approach to knowledge navigation! Check out the graph navigation on our ThreadMap page: https://lnkd.in/gtaTv--7 #AI #KnowledgeGraphs #PodcastAnalytics #Innovation"

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  • 查看everychart的组织主页
    everychart

    48 位关注者

    Tell us about your challenges with ever-growing data siloes. We have found that most people we talk to struggle with 3 important key challenges to sharing insights: Finding the right data, gaining access, and sharing visualizations across tools. Would love to hear about these challenges from your perspective, especially as AI is quickly building on top of these siloed foundations.

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