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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The process of developing a model is inherently iterative, often spanning weeks, months, or even years, and it involves challenges such as reproducing results, maintaining version control, and auditing previous work. It is important to document each phase of model building, as well as the reasoning behind decisions made along the way. Rather than being a secretive file stored away, a model should serve as a clear and accessible resource for all stakeholders to monitor and evaluate consistently. Prevision.io facilitates this by enabling you to log every experiment during training, capturing its attributes, automated analyses, and various versions as your project evolves, regardless of whether you utilize our AutoML or your own methodologies. You can effortlessly experiment with a multitude of feature engineering techniques and algorithm options to create models that perform exceptionally well. With just a single command, the system can explore different feature engineering methods tailored to various data types, such as tabular data, text, or images, ensuring that you extract the maximum value from your datasets while enhancing overall model performance. This comprehensive approach not only streamlines the modeling process but also fosters collaboration and transparency among team members.

Description

The SensiML Analytics Toolkit enables the swift development of smart IoT sensor devices while simplifying the complexities of data science. It focuses on creating compact algorithms designed to run on small IoT endpoints instead of relying on cloud processing. By gathering precise, traceable, and version-controlled datasets, it enhances data integrity. The toolkit employs advanced AutoML code generation to facilitate the rapid creation of autonomous device code. Users can select their preferred interface and level of AI expertise while maintaining full oversight of all algorithm components. It also supports the development of edge tuning models that adapt behavior based on incoming data over time. The SensiML Analytics Toolkit automates every step necessary for crafting optimized AI recognition code for IoT sensors. Utilizing an expanding library of sophisticated machine learning and AI algorithms, the overall workflow produces code capable of learning from new data, whether during development or after deployment. Moreover, non-invasive applications for rapid disease screening that intelligently classify multiple bio-sensing inputs serve as essential tools for aiding healthcare decision-making processes. This capability positions the toolkit as an invaluable resource in both tech and healthcare sectors.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

SkyStem ART Yes 

Integrations

SkyStem ART No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App Yes 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Prevision.io

Country

France

Website

prevision.io

Vendor Details

Company Name

SensiML

Founded

2017

Country

United States

Website

sensiml.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates Yes 
Visualization Yes 

Alternatives

Alternatives