MACHINE LEARNING

FUNDAMENTALLY DIFFERENT

The first measure-before-build

tool for machine learning

MACHINE

LEARNING

FUNDAMENTALLY

DIFFERENT

The first measure-before-build tool for machine learning

Stay up to date with Brainome

Gerald Friedland, Brainome's CTO, presents measurements-based machine learning to DahShu, an industry organization for 5,000+ bioinformatics and biostatistics professionals.

Brainome's Measurement-Based Machine Learning

Measure

Get insights on project risks. Evaluate data quality and quantity before training.

Build

Custom fit models to your data.
Small & efficient models.

Predict

Readable & explainable models.
Runs on generic hardware.


Measure

Get insights on project risks. Evaluate data quality and quantity before training.

Build

Custom fit models to your data.
Small & efficient models.

Predict

Readable & explainable models.
Runs on generic hardware.

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THE BEST ENGINEERING PRACTICES START WITH MEASUREMENTS

Case Studies

Ovarian Cancer Study

Rapidly finding the gene expressions that predict ovarian cancer

Audio Study

Build an Audio detector using 10 neurons in less than 1 day

Ovarian Cancer Study

Rapidly find the few specific genes out of tens of thousands that predict ovarian cancer

Delivering Fast Insights and Value

Measure Data

Build a Custom Model

Deploy Easily

Measure Data

Build a custom model

Deploy predictor inside application

Ready to get started?

Daimensions™ for your Industry

The Daimensions™ SaaS platform works on all data.

In a fast-paced environment where every millisecond matters and shifts in markets can yield huge returns or losses, the speed of model building and execution is crucial.

By measuring first before building models, Daimensions™ makes it possible to rapidly respond and react quickly to data drift, keeping models on track with turnaround times that are a fraction of current industry standards.

In the IoT world, every kilobyte matters and working with data at the network edge is often a requirement.

By measuring first before building models, Daimensions™ makes it possible to rapidly build tiny models that can deploy readily to any device.

When working with the enormous amounts of data that arise from gene sequencing and biomarker sampling, we are able to rapidly identify the most relevant and impactful elements in even the largest datasets.

By measuring first before building models, Daimensions™ makes it possible to quickly rank the contributions made by individual data elements to overall outcomes. This dramatically reduces R&D timelines.

In an ad-serving environment where accuracy is crucial and ten milliseconds can make all the difference, getting the best possible model that will run in the time it takes to blink is critical.

By measuring first before building models, Daimensions™ makes it possible to get crystal clear insight into what drives accuracy, while significantly reducing deployed predictor runtimes.  And all of this can be accomplished at the edge of the network, without passing any customer data anywhere.

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