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Athina AI

Winter 2023Active

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

Save
Athina AI logo

Athina AI

Winter 2023Active

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

Save
Company details

Athina is an end-to-end platform for product teams building production-grade AI features.

Prototype: Dynamic Columns let you run LLM prompts, execute code, make API calls, retrieve data, run transformations, and more (in a spreadsheet UI)

Evaluate: Run evaluations within the sheet itself - there are 50+ preset evaluation metrics or you can create your own custom evals (no-code).

Experiment: Change your prompt, model, retriever, or chain in just a few clicks. Technical users can run even more experiments programmatically.

Compare: Compare any number of datasets side-by-side with a diff view, and run evaluations on all of them simultaneously

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.

Location
Remote
Founded
Unknown
Category
AIOps
YC Directory Pageathina.ai

Athina is an end-to-end platform for product teams building production-grade AI features.

Prototype: Dynamic Columns let you run LLM prompts, execute code, make API calls, retrieve data, run transformations, and more (in a spreadsheet UI)

Evaluate: Run evaluations within the sheet itself - there are 50+ preset evaluation metrics or you can create your own custom evals (no-code).

Experiment: Change your prompt, model, retriever, or chain in just a few clicks. Technical users can run even more experiments programmatically.

Compare: Compare any number of datasets side-by-side with a diff view, and run evaluations on all of them simultaneously

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.

Location
Remote
Founded
Unknown
Category
AIOps
YC Directory Pageathina.ai
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