open the offcanvas menu Derwen home page graph technologies

derwen.ai company logo

Derwen ( /ˈdɛr-u-ɛn/ pronounced "DAIR-oo-en" )
spoken | translated | etymology | related

A private California corporation, D-U-N-S number 116589020, ROR identifier 05rgcq579

Rates Policy Contact Newsletter

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, subsequent to due diligence.

 


Our team has provided services on behalf of:

Red Bull Universidade da Coruña Databricks Ray Project Knowledge Graph Conference
United Nations Argilla KeyBank MLOps.community Big Things Conference
KUNGFU.AI 8x8 USDA Earth Science Information Partners (ESIP) Senzing
Useful Sensors PyData IBM Deutsche Bundesbank Towards Data Science
Computable Labs Ditchley Foundation Project Jupyter Starburst Data Orange Telecom
NYU Nextdata NOAA Neo4j Manning Publications
Primer AI Connected Data World Coleridge Initiative Kurve.ai O'Reilly Media
NumFOCUS Anthem Insurance Kubuntu Focus Lightbend DataSpartan
LinkedIn BASF Amplify Partners Datahack NLP Summit
Deep Learning Analytics US Department of Defense Nike Gradient Flow Domino Data Lab
NVIDIA InfoWorld markenmut

Disclaimer: all trademarks, service marks, trade names, trade dress, product names, and logos appearing above are the property of their respective owners