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LangOps Pioneers

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Upcoming Events

30th of march, 2023
10.00 – 17.00

Berlin, Germany

Join us for the LangOps Pioneer event, overlooking the Berlin Bradenburg Gate.

Registration costs 200 Euro.
Our meeting is limited to 40 seats.

RSVP NOW

DATE + TIME TBD

San Francisco, CA, USA

Be at the forefront of a new movement and shape the future of multilingual AI!

Details coming soon!

LangOps Principles

Manifesto

Half of all data is textual. Textual data is always multilingual. Businesses use only one or max two corporate languages. LangOps is an Ai-centric approach to enable companies to scale across markets and languages.

1. Understand all customers

Our highest priority is to understand every customer no matter what language they use and expand our reach to the widest audience possible.

2. Support all customer facing functions

We initially focus on the most urgent needs, but promote organizational progress and architect solutions which can eventually support all customer interactions.

3. Embrace data-centric AI

Data is the key to performant AI systems for language. We collect, create, structure, maintain, and leverage textual data to deliver efficient solutions.

4. Try AI first

AI systems are already good enough for many use cases and their performance will continue to improve. We always start by trying AI solutions to solve language problems.

5. Assess quality of AI

Quality is the pillar for trust in AI. Everything we create is proactively assessed through the lens of quality, so we can act before errors arise.

6. Respect the human-in-the-loop

We use human intelligence where needed. We value the human contribution which constantly improves our machines.

7. Expect transparency, control and scalability

We create scalable systems with transparency, control to change and improve the process, and simplicity to ease operation.

8. Process data in real time

The world is moving to dynamic content creation. All content is a stream with different cadences. We build with real time at the core.

9. Build language-agnostic

We design all processes and supporting systems with ease of scaling to new languages. Users do not need language expertise, but can resort to multilingual datasets and external human contributors.

10. Promote interdisciplinary knowledge