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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:

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

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