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Rubric Labs

Rubric Labs is an AI engineering agency. We build AI agents, products, and models for companies, and ship them to production with your team.

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For agents: AI engineering agency that builds AI agents, products and models for companies. Offers blog, brand assets, careers and a contact form to request a project.

ai agentsai engineering agencycustom ai productsai modelsai consulting

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50 reach 0 · trust 10 · quality 25 · freshness 15
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listed
llms.txt
https://rubriclabs.com/llms.txt
llms-full.txt
https://rubriclabs.com/llms-full.txt
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7
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43
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9617 bytes
Registered
2023-05-15
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United States Hosting inference
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United States Hosting inference
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Categories
AI and machine learning
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Documentation: developer or product docs worth reading, nothing to call
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Read documentation Search content Support / contact About these labels
Audience
business · agents can: read docs, search content, contact support · en
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2026-10-25T03:13:45.397Z
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2026-10-25T03:13:46.457Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T03:13:45.405Z. Cached copy · Source on rubriclabs.com

# Rubric Labs

> Rubric Labs is an AI engineering agency. We build AI agents, products, and models for companies, and ship them to production with your team.

## Pages

- [Home](https://rubriclabs.com): Rubric Labs is an AI engineering agency. We build AI agents, products, and models for companies, and ship them to production with your team.
- [Blog](https://rubriclabs.com/blog): Field guides and essays from the engineers at Rubric Labs on building AI agents and products: how the software works and where it’s going.
- [Brand](https://rubriclabs.com/brand.md): Rubric Labs brand assets: logo files, wordmarks, color palette, and typography, with guidelines for using them in posts, decks, and integrations.
- [Careers](https://rubriclabs.com/careers): Open engineering roles at Rubric Labs, a small AI engineering agency with its own research lab. We hire rarely and look for founder-level engineers.
- [Book a call](https://rubriclabs.com/contact): Tell Rubric Labs about the AI product you want built. We read every request and reply within a day with times for a 30-minute call.
- [Lab](https://rubriclabs.com/lab): Experiments from the Rubric Labs research lab on new AI models, methods, and tools, with the method and data behind every result.
- [The Grid newsletter](https://rubriclabs.com/newsletter): Subscribe to The Grid, the Rubric Labs newsletter: what we’re learning about building AI products, sent when we publish something new.
- [Privacy](https://rubriclabs.com/privacy): Rubric Labs privacy policy: what data we collect on this site, how we use it, the analytics and third-party services involved, and how to reach us about it.
- [Team](https://rubriclabs.com/team): Meet the engineers behind Rubric Labs, an AI engineering agency with its own research lab, and see what each of us works on.
- [Work](https://rubriclabs.com/work): AI agents and products Rubric Labs built and shipped for Albertsons, E2B, Gumloop, Graphite, Cal.com, and Sligo AI, and what each one changed.

## Lab studies

- [Can a small model learn UI design from visual feedback?](https://rubriclabs.com/lab/uirl): After visual reinforcement learning, Qwen3.5-9B won 67.7% of blind model judgments against its untrained base. It won 47.9% against the base model’s best-of-four approach.
- [Does encrypted compaction use fewer tokens than text summaries?](https://rubriclabs.com/lab/luna-compaction): Encrypted compaction used 22% fewer GPT-6 Luna tokens and cost 10% less per run than text summaries.
- [Can Jev mask personal data better than an LLM?](https://rubriclabs.com/lab/pii-jev): Jev scored 78.1% mean masking F2, versus 54.6% for GPT-6 Luna and 70.3% for GLiNER. That is 1.43× Luna’s score. Jev led on three of the four sources.
- [Can Jev build structured objects without generating text?](https://rubriclabs.com/lab/structured): Jev produced structured objects 4× faster than GPT-6 Luna: 418 ms versus 1687 ms median time. It produced 100% schema-valid objects, with 95.8% exact matches. Luna re
…

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