# Morphos AI

> Morphos AI is an applied research company founded in 2023 in Chandler, Arizona. It works on how AI systems store and update information, with the goal of helping capable systems operate with less memory, compute, power, and connectivity.

## About Morphos AI

- Founded: 2023
- Headquarters: Chandler, Arizona, United States
- Focus: applied research on compact information representation for language and autonomous systems
- Core technology: Green Vectors

## What Morphos AI Does

Large collections of text produce many separate representations of the same meaning. Those repeated representations are stored, searched, and updated as if each one were new information. That is the burden Morphos AI works on.

Green Vectors reduces repeated representations of the same meaning before storage, so a smaller searchable layer is sent to the vector database already in use. The embedding model, vector database, and retrieval framework can stay in place.

Four capability-level actions describe the approach publicly:

- Bring related meaning together
- Let relevant information matter more
- Keep the larger context connected
- Update what is already known

## What This Is Not

- It is not quantization or compression of individual vectors
- It is not a replacement vector database
- It is not a claim about accuracy, latency, or benchmark performance beyond what is published on the site

## Product Status

Kitana is in scoped beta as an SDK and API. Access is by request and controlled evaluation. There is no general availability, download link, or public code sample at this time.

## Public Pages

- https://www.morphos.ai/ — Homepage: the problem, the approach, and where systems have to run
- https://www.morphos.ai/language-intelligence — Language Intelligence: the language burden, the four actions, and published evidence
- https://www.morphos.ai/insights — Research notes and external articles by the Morphos team
- https://www.morphos.ai/company — Company, leadership, and principles
- https://www.morphos.ai/case-studies — Case studies: measured results, benchmarks, and the scope of each result
- https://www.morphos.ai/case-studies/project-gutenberg — Project Gutenberg benchmark at 15-million-vector scale
- https://www.morphos.ai/case-studies/elastic-bbq — Green Vectors compared with Elastic Better Binary Quantization
- https://www.morphos.ai/case-studies/enterprise-vector-reduction — Cutting vector storage by ~89% at enterprise scale
- https://www.morphos.ai/case-studies/patent-search — Patent search moved from keyword matching to semantic retrieval
- https://www.morphos.ai/case-studies/sales-training-firm — Enterprise RAG retrieval for a sales training firm
- https://www.morphos.ai/blog — Blog: long-form perspective from the Morphos AI team
- https://www.morphos.ai/articles — Press: independent coverage, podcasts, and conference appearances
- https://www.morphos.ai/contact — Contact and inquiry routing
- https://www.morphos.ai/privacy — Privacy Policy
- https://www.morphos.ai/terms — Terms

Pages not listed above are legacy material from an earlier version of the site. They are marked `noindex, nofollow`, are excluded from the sitemap, and should not be treated as current Morphos AI positioning.

## Contact

- General: hello@morphos.ai
- Location: Chandler, Arizona, United States
- LinkedIn: https://www.linkedin.com/company/morphos-ai/