LangOps Pioneers

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    Upcoming Events

    DAte To Be Confirmed
    Upon invitation only

    San Francisco, CA, USA

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

    Details coming soon!

    Past 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.

    LangOps Principles


    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

    We train LangOps in the different areas required to be efficient. We continuously enable teams to evolve and learn new skills.

    11. Leverage available data and tech 

    We make use of available tools and data collections. We strictly account for total cost of ownership in buy or build situations. 

    12. Be at the forefront

    We invest time to research and study academic and commercial advances. We future proof LangOps by constantly pushing the boundaries.