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.
THE BEST ENGINEERING PRACTICES START WITH MEASUREMENTS
Case Studies
Ovarian Cancer Study
Rapidly finding the gene expressions that predict ovarian cancer
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
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.
