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2025

Neural Inverse WrappedNeural Inverse Wrapped

A year in review

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You all have been busy...

Key metrics from our platform in 2025

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Traces & Observations ingested

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Evals executed

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Prompts created

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Consumption

Consumption between January and December 2025. Ingestions of traces, observations and evals.

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132K+

Unique Users

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86K+

Projects created

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29.32TB

Peak Tracing data traffic in one day

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Monthly Package Downloads

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To the Builders...

Big thanks to all contributors of 2025!

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Contributors

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Merged PRs

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GH Discussions

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GitHub Stars

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A Year of Launches...

We have shipped a ton of new features this year.

hold hover to ⭐ your favorite launches of the year

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Powering the Greatest...

We couldn't be prouder to work with these companies.

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"Neural Inverse hits the sweet spot between engineering requirements and empowerment of non-technical users to contribute their domain expertise."

"Neural Inverse hits the sweet spot between engineering requirements and empowerment of non-technical users to contribute their domain expertise."

Andreas Schuster

Head of Product, AI Help Experience at Canva

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"Building on Neural Inverse we saved 30% of external BPO cost by deflecting 50% of support conversations to AI."

"Building on Neural Inverse we saved 30% of external BPO cost by deflecting 50% of support conversations to AI."

Ana Casado

Head of Operations Data and AI at SumUp

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"Neural Inverse has enabled our developers to get extremely fast feedback. It's fundamental to how our developers understand their AI implementations."

"Neural Inverse has enabled our developers to get extremely fast feedback. It's fundamental to how our developers understand their AI implementations."

Walt Wells

Staff Software Engineer at Khan Academy

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And thousands more...

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"Neural Inverse enables us to track every prompt, response, cost, and latency in real time, turning black-box models into auditable, optimizable assets."

"Neural Inverse enables us to track every prompt, response, cost, and latency in real time, turning black-box models into auditable, optimizable assets."

Walid Mehanna

Chief Data & AI Officer at Merck

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"When a customer pings us, we pop open Neural Inverse to understand what's going on. It keeps customer support resolutions at less than 8 minutes on average."

"When a customer pings us, we pop open Neural Inverse to understand what's going on. It keeps customer support resolutions at less than 8 minutes on average."

Alexander Danilowicz

Co-founder at Magic Patterns

Thank you for being part of this journey!

If there was one thing we could wish for...

Leave a ⭐ on GitHub

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