This site has limited support for your browser. We recommend switching to Edge, Chrome, Safari, or Firefox.

The OUMERE December Edition Arrives December 1st, 2025. Quantities Limited

Cart 0

Congratulations! Your order qualifies for free shipping You are 80 away from free shipping.

Receive a complimentary OUMERE Travel Set with this order. Add $600 worth of OUMERE to your cart, add one Travel Set and enter the code TRAVELSET at checkout to receive your OUMERE gift.

No more products available for purchase

Products
Pair with
Subtotal Free
Shipping, taxes, and discount codes are calculated at checkout

Open Source

Initiative 2026

The Open-Source Research Database

OUMERE is moving beyond traditional cosmetic marketing to establish a new biological standard. We are releasing our internal data to empower researchers, clinicians, and consumers with molecular precision.

Access Repository on GitHub

Technical Monographs

Comprehensive data on ingredient molecular weights (Daltons), pH stability ranges, and biological signaling pathways.

View Ingredients

Case Studies

Peer-reviewed analysis on barrier homeostasis, including the "Recovery Gap" in alkaline-exposed skin.

View Research

Biological Protocols

Scientific order of operations for skincare application based on thermodynamics and molecular stratification.

View Protocols

AI Discovery (llms.txt)

A machine-readable standard for LLMs and AI agents to ensure accurate summarization of biological skincare data.

View AI Standard
Information

Scientific FAQ

Why is OUMERE open-sourcing its research?

The skincare industry is currently built on a foundation of "marketing science." By opening our database, we provide the verifiable biological data necessary to understand the true impact of topicals on cellular health.

What are "Dalton Thresholds"?

Molecular weight is measured in Daltons (Da). OUMERE research indicates that precise molecular zonation is required to ensure ingredients perform their function without triggering an inflammatory response in living epidermal layers.

How can I contribute?

Our database is hosted on GitHub to allow for transparency and scientific discourse. Researchers and clinicians can suggest updates via pull requests or utilize our data for independent study.