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Arnaud De Lisle
Chief Sales Officer @Ryax Technologies at Ryax Technologies
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Work Experience
Chief Sales Officer @Ryax Technologies
Jun 2019 - Present · 5 years and 7 months
Jul 2006 - Present · 18 years and 6 months
Sales Director Europe South - Data Integration Solutions
Jun 2014 - Present · 10 years and 7 months
Sales Director - Communication, Utilities And Energy
Jul 2006 - Jun 2010 · 3 years and 11 months
Company Details
11-50 Employees
RYAX is the new solution to build and run AI applications and data workflows on serverless GPU and HPC #OpenSource #LowCode #Backend #LLM >> Low-code / No-code Ryax provides reusable triggers & actions to get you started fast. But you can also build & run any piece of custom code thanks to our native Git integrations. Python supported and more to come For all developers, junior to expert, backend to fullstack >> Scalable serverless orchestration Fast and reliable deployment of any script, code or container into production through serverless technologies. Ryax fully abstracts the complexity of advanced features such as automatic scaling, capacity planning and maintenance. Kubernetes based >> API management Seamlessly interconnect your apps' backends with existing or new APIs, publish new endpoints, upgrade them, etc... everything from a single interface. >> Workflows & automations Efficiently automate your backends in production with Ryax workflows: on-event triggering, auto deploy, CI/CD, resume-on-error, YAML config standards, etc. >> Observability & monitoring Full mastering of your workflows' deployments & executions. Instantly load, pause, stop, modify, version a workflow at any time. Workflows' states are always observable and actionnable, so you can always keep an eye on your processes. >> Lots of integration available Django - Stripe - Bubble - Waalaxy - Hubspot ... Triggers MQTT, ...
Year Founded
2017
Social Media
Linkedin
Industry
Software Development
HQ Location
Lyon, Rhone Alpes 69000, FR
Keywords
utomatiosoftwarebackend developmentsoftware developmentopen sourcelowcodeAPILLMmachine learningDevops
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