{"id":17552,"date":"2020-03-10T13:54:34","date_gmt":"2020-03-10T13:54:34","guid":{"rendered":"https:\/\/rbsitsoftwaresolution.com\/blog\/backboneai-scores-4-7m-seed-to-bring-order-to-intercompany-data-sharing.html"},"modified":"2020-03-10T13:54:34","modified_gmt":"2020-03-10T13:54:34","slug":"backboneai-scores-4-7m-seed-to-bring-order-to-intercompany-data-sharing","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/backboneai-scores-4-7m-seed-to-bring-order-to-intercompany-data-sharing.html","title":{"rendered":"BackboneAI scores $4.7M seed to bring order to intercompany data sharing"},"content":{"rendered":"<p id=\"speakable-summary\"><a href=\"javascript:void(0)\">BackboneAI<\/a>, an early-stage startup that wants to help companies dealing with lots of data, particularly coming from a variety of external sources, announced a $4.7 million seed investment today.<\/p>\n<p>The round was led by <a href=\"javascript:void(0)\">Fika Ventures <span class=\"crunchbase-tooltip-indicator\" \/><\/a> with participation from Boldstart Ventures, Dynamo Ventures, GGV Capital, MetaProp, Spider VC and several other unnamed investors.<\/p>\n<p>Company founder Rob Bailey says he has spent a lot of time in his career watching how data flows in organizations. There are still a myriad of challenges related to moving data between organizations, and that\u2019s what his company is trying to solve. \u201c<a href=\"javascript:void(0)\">BackboneAI <span class=\"crunchbase-tooltip-indicator\" \/><\/a> is an AI platform specifically built for automating data flows within and between companies,\u201d he said.<\/p>\n<p>This could involve any number of scenarios from keeping large, complex data catalogues up-to-date to coordinating the intricate flow of construction materials between companies or content rights management across an entertainment industry.<\/p>\n<p>Bailey says that he spent 18 months talking to companies before he built the product. \u201cWhat we found is that every company we talked to was, in some way or another, concerned about an absolute flood of data from all these different applications and from all the companies that they\u2019re working with externally,\u201d he explained.<\/p>\n<p>The BackboneAI platform aims to solve a number of problems related to this. For starters, it automates the acquisition of this data, usually from third parties like suppliers, customers, regulatory agencies and so forth. Then it handles ingestion of the data, and finally it takes care of a lot of actual processing from external sources, while mapping it to internal systems like the company ERP system.<\/p>\n<p>As an example, he uses an industrial supply company that may deal with a million SKUs across a couple of dozen divisions. Trying to track that with manual or even legacy systems is difficult. \u201cThey take all this product data in [from external suppliers], and then process the information in their own [internal] product catalog, and then finally present that data about those products to hundreds of thousands of customers. It\u2019s an incredibly large and challenging data problem as you\u2019re processing millions and millions of SKUs and orders, and you have to keep that data current on a regular basis,\u201d he explained.<\/p>\n<p>The company is just getting started. It spent 2019 incubating inside of <a href=\"javascript:void(0)\">Boldstart Ventures <span class=\"crunchbase-tooltip-indicator\" \/><\/a>. Today the company has close to 20 employees in New York City, and it has signed its first Fortune 500 customer. Bailey says they have 15 additional Fortune 500 companies in the pipeline. With the seed money, he hopes to build on this initial success.<\/p>\n<p>Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/-6ZgBm4y5Eg\/<\/p>","protected":false},"excerpt":{"rendered":"<p>BackboneAI, an early-stage startup that wants to help companies dealing with lots of data, particularly coming from a variety of external sources, announced a $4.7 million seed investment today. 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Company founder","twitter:image":"https:\/\/i0.wp.com\/www.rbsitsoftwaresolution.in\/blog\/wp-content\/uploads\/2019\/01\/logo.png?fit=94%2C59&ssl=1"},"aioseo_meta_data":{"post_id":"17552","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"Article","isEnabled":true},"graphs":[]},"schema_type":"default","schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"breadcrumb_settings":null,"limit_modified_date":false,"ai":null,"created":"2023-07-14 16:53:26","updated":"2026-09-26 13:24:08","focus_keyword":null,"additional_keywords":null,"truseo_locale":null,"seo_analyzer_scan_date":null},"aioseo_breadcrumb":"<div class=\"aioseo-breadcrumbs\"><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/www.rbsitsoftwaresolution.in\/blog\/\" title=\"Home\">Home<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">\u00bb<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/www.rbsitsoftwaresolution.in\/blog\/category\/enterprise-software\" title=\"Enterprise Software\">Enterprise Software<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">\u00bb<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\tBackboneAI scores $4.7M seed to bring order to intercompany data sharing\n\t\t<\/span><\/div>","aioseo_breadcrumb_json":[{"label":"Home","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/"},{"label":"Enterprise Software","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/category\/enterprise-software"},{"label":"BackboneAI scores $4.7M seed to bring order to intercompany data sharing","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/backboneai-scores-4-7m-seed-to-bring-order-to-intercompany-data-sharing.html"}],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p7WU2O-4z6","jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/posts\/17552","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/comments?post=17552"}],"version-history":[{"count":0,"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/posts\/17552\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/media?parent=17552"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/categories?post=17552"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/wp-json\/wp\/v2\/tags?post=17552"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}