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Ratings and Reviews 0 Ratings
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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
What is Intelense KEN AI?
Historically, the management of properties and assets has posed significant challenges and risks, often characterized by complex processes. By utilizing pre-existing cameras, sensors, and devices, we can derive insightful analytics that significantly improve operational efficiency. Our state-of-the-art AI technology analyzes this data to identify activities concerning safety, health, and compliance, which allows for the automation of various tasks. We have developed an extensive range of solutions driven by KEN AI™, specifically designed to enhance health, safety, and emergency services. These applications are fully compatible with IoT and 5G technologies and come equipped with open APIs for easy integration. The scope of AI Analytics encompasses multiple areas, including traffic management, crowd control, airport operations, and emergency response systems. Our AI-enriched video technology is particularly focused on protecting your most critical asset—your workforce. KEN AI continuously monitors and addresses safety risks in real time during operations. Additionally, our APIs are capable of identifying anomalies both in recorded incidents and within the IoT sensors, providing a thorough approach to safety management. The integration of these cutting-edge solutions is set to transform the future of asset management significantly. Ultimately, our mission is to create a safer and more efficient environment for all stakeholders involved.
What is Actcast?
Actcast is an innovative AI-driven IoT platform that effectively bridges the gap between real-world events and the Internet by performing deep learning inference on edge devices, enabling instant detection, analysis, and integration of physical data with online systems while reducing data transfer costs and addressing privacy issues. Utilizing edge computing, it empowers the execution of sophisticated deep learning models on cost-effective hardware such as Raspberry Pi, transforming raw data collected from sensors and cameras into valuable, semantic information that can be communicated to web services or applications. The platform is built to facilitate the deployment, remote oversight, and monitoring of various IoT applications, known as "Acts," across multiple devices, providing developers with vital resources including an SDK and command-line interface for the creation, packaging, and deployment of applications within Docker containers that interpret input and produce concise outputs. Additionally, Actcast offers features for organizing device clusters, establishing triggers and webhooks for event notifications, and managing updates and device statuses via a centralized dashboard, thus promoting a more efficient and streamlined IoT experience. This holistic strategy not only boosts operational efficiency but also significantly enhances the scalability of IoT solutions, making it a valuable asset for developers looking to innovate in the field. Ultimately, Actcast serves as a transformative tool for harnessing the power of IoT in contemporary applications.
Integrations Supported
Raspberry Pi OS
Slack
X (Twitter)
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Intelense
Date Founded
2018
Company Location
Canada
Company Website
www.intelense.com/applications
Company Facts
Organization Name
Actcast
Date Founded
2018
Company Location
United States
Company Website
actcast.io
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization