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Derwen ( /ˈdɛr-u-ɛn/ pronounced "DAIR-oo-en" )
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A private California corporation, D-U-N-S number 116589020

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We look differently at problems faced in common w.r.t. Data and AI: themes, issues, governance, risk, people, projects, near-term scenarios.

Derwen, Inc., provides evaluation, integration, packaging, concurrency, performance optimization, and security hardening for open source software used in machine learning use cases, with expertise in natural language, graph technologies, and operations research. Our mission is to bridge between open source communities of practice in artificial intelligence, and the enterprise customers who need to work with them.

Per our contractual obligations with enterprise customers, specifically for confidentiality agreements, security requirements, compliance norms, and mitigation of potential conflicts of interest, our firm does not engage directly in: fundraising for other firms, recruiting for other firms, IT vendor sales, nor use of outsourcing. For similar reasons, we do not partner with some categories of businesses in general, e.g., venture-backed startups productizing ML platforms.

By appointment only.

 


Derwen, Inc., is a partner of Earth Sciences Information Partners (ESIP).

For more details about joining Derwen, please see our current job listings. Have your portfolio of participation within GitHub, StackOverflow, and other communities of practice ready for discussion.


Our team has provided services on behalf of:

Amplify Partners Starburst Data Ditchley Foundation Argilla USDA
US Department of Defense Knowledge Graph Conference KeyBank Primer AI Manning Publications
Earth Science Information Partners (ESIP) Deutsche Bundesbank 8x8 NLP Summit Useful Sensors
Red Bull Towards Data Science NVIDIA NOAA NYU
Nike KUNGFU.AI BASF Ray Project Domino Data Lab
Databricks Gradient Flow Anthem Insurance Big Things Conference LinkedIn
Datahack InfoWorld Deep Learning Analytics United Nations The Data Chefs
NumFOCUS Lightbend IBM Kubuntu Focus Computable Labs
Coleridge Initiative Connected Data World Project Jupyter PyData Universidade da Coruña
O'Reilly Media Orange Telecom

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