LinkedIn Profile

Access Robust Links historical Linkedin company profile data on number of followers, employee headcount and more
Ticker Symbol Entity Name As Of Date Company Name Followers Employees on Linkedin Link Industry Date Added Date Updated Description Website Specialities Logo HQ.Street HQ.City HQ.State HQ.Country HQ.Postal GICS Sector GICS Industry
private:robustlinks 2851709 May 31st, 2019 12:00AM RobustLinks 9 1.00 Open Internet May 31st, 2019 01:40PM May 31st, 2019 01:40PM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users. Open AI, ML, NLP Open 504 Grand S, Unit B32 New York New York US 10002418
private:robustlinks 2851709 Mar 19th, 2018 12:00AM RobustLinks 7 1.00 Open Internet Mar 18th, 2018 10:12PM Mar 18th, 2018 10:12PM Open
private:robustlinks 2851709 Feb 17th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 17th, 2018 02:25PM Feb 17th, 2018 02:25PM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
private:robustlinks 2851709 Feb 16th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 16th, 2017 08:15AM Feb 16th, 2017 08:15AM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
private:robustlinks 2851709 Feb 15th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 15th, 2017 10:07AM Feb 15th, 2017 10:07AM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
private:robustlinks 2851709 Feb 14th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 14th, 2017 01:50PM Feb 14th, 2017 01:50PM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
private:robustlinks 2851709 Feb 13th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 13th, 2017 04:11PM Feb 13th, 2017 04:11PM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
private:robustlinks 2851709 Feb 12th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 12th, 2017 04:15AM Feb 12th, 2017 04:15AM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
private:robustlinks 2851709 Feb 11th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 11th, 2017 05:35AM Feb 11th, 2017 05:35AM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.
private:robustlinks 2851709 Feb 10th, 2018 12:00AM RobustLinks 6 1.00 Open Internet Feb 10th, 2017 06:43AM Feb 10th, 2017 06:43AM The mission of RobustLinks is to use state of the art AI, NLP, and ML to compose what we call Knowledge as a Service (KaaS). The service builds and refines a probabilistic model of user demographic and interests. Given only one or more geolocations KaaS can infer an eleven dimensional probabilistic model of the user demographics. KaaS can also consume unstructured, "snack sized", idiosyncratic textual data (e.g. social media feed) and infer its semantics. It integrates end-to-end technology stack that continuously gather, summarize and represent the semantics of unstructured text, in real-time and at scale. The derived semantics is then analyzed to condense the big data to a compact and searchable semantic graph. We use IR, not semantic web, paradigms and tools. BigSieve is one consumer facing application that we have built on top of KaaS layer. In BigSieve users opt-in to share their location and access to their social media feed. BigSieve then uses KaaS to continuously update a model of the user demographics and interests and match them to items in the application domain, messages or other users.

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