Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Folio3, a machine learning firm, boasts a team of committed Data Scientists and Consultants who have successfully executed comprehensive projects in areas such as machine learning, natural language processing, computer vision, and predictive analytics. With the aid of Artificial Intelligence and Machine Learning algorithms, businesses are now able to leverage highly tailored solutions that come with sophisticated machine learning capabilities. The advancements in computer vision technology have significantly enhanced the analysis of visual data, introduced innovative image-based features, and revolutionized how companies across diverse sectors engage with visual content. Additionally, the predictive analytics solutions provided by Folio3 yield swift and effective outcomes, helping you to uncover opportunities and detect anomalies within your business processes and strategies. This comprehensive approach ensures that clients remain competitive and responsive in an ever-evolving market.
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
Integrations
Amazon Web Services (AWS)
Yes
IBM Watson
Yes
Microsoft Azure
Yes
Integrations
Amazon Web Services (AWS)
No
IBM Watson
No
Microsoft Azure
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Folio3 Software
Founded
2005
Country
United States
Website
www.folio3.ai/
Vendor Details
Company Name
SensiML
Founded
2017
Country
United States
Website
sensiml.com
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
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