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    Athina AI

    Prototype, Experiment & Evaluate AI Pipelines in a Spreadsheet-like UI

    Founded 2023
    1-10

    Company Facts

    Founded
    2023
    Company Size
    1-10
    Website
    athina.ai

    About Athina AI

    Athina is an end-to-end platform for product teams building production-grade AI features. 1. Prototype: Dynamic Columns let you run LLM prompts, execute code, make API calls, retrieve data, run transformations, and more (in a spreadsheet UI) 2. Evaluate: Run evaluations within the sheet itself - there are 50+ preset evaluation metrics or you can create your own custom evals (no-code). 3. Experiment: Change your prompt, model, retriever, or chain in just a few clicks. Technical users can run even more experiments programmatically. 4. Compare: Compare any number of datasets side-by-side with a diff view, and run evaluations on all of them simultaneously 5. Observability: Monitor your LLM features in production with continuous evaluations and granular analytics. Athina can be used by non-technical users as well as technical users. This means PMs, QA, Data Scientists, and Engineers can collaborate to build great AI products.

    What is Athina AI?

    Athina AI is a collaborative AI development platform designed to enable teams to build, test, and monitor AI features efficiently. It caters to both technical and non-technical users, allowing seamless collaboration on experiments and evaluations.

    Who is Athina AI for?

    Athina AI is designed for data scientists, engineers, and product managers who are involved in AI development. It serves both technical and non-technical users, facilitating collaboration across different roles.

    When was Athina AI founded?

    The founding date of Athina AI is not specified in the available information.

    Who founded Athina AI?

    The information regarding the founder(s) of Athina AI is not available in the provided content.

    What is Athina AI best known for?

    Athina AI is best known for its ability to accelerate AI development processes, enabling teams to ship AI to production 10 times faster while ensuring comprehensive monitoring and evaluation capabilities.

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