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What is M Orbit?

M Orbit represents a cutting-edge intelligence and analytics solution specifically crafted for sectors like telecommunications, public safety, and critical infrastructure. By utilizing real-time data ingestion alongside AI-enhanced pattern recognition and extensive analytics, it greatly enhances situational awareness, allowing network operators and authorities to act more rapidly, boost security measures, and make educated decisions with confidence. Built with a focus on adhering to European values of technological sovereignty, it supports on-premise, hybrid, or sovereign-cloud deployments, guaranteeing full data control and compliance with rigorous cybersecurity regulations. Notably, the platform excels in practical applications such as drone detection and GPS jamming analysis; its AI engine proficiently discerns anomalies in communication and positioning data, generating real-time insights and offering clear, evidence-based recommendations during detection and protection efforts. This groundbreaking platform not only fortifies security measures but also enables organizations to proactively counteract emerging risks, thereby fostering a safer environment for all stakeholders involved. Ultimately, M Orbit serves as a vital resource in the ongoing battle against evolving threats in critical sectors.

What is Arcas?

BigBear.ai revolutionizes edge data analysis by merging computer vision, predictive analytics, and event alerting technologies. By harnessing the capabilities of artificial intelligence and machine learning, our advanced systems delve into large datasets to uncover insights that exceed human analytical abilities, effectively tackling uncertainties and improving situational awareness. Arcas gathers millions of data points to enhance understanding of situations and drives predictive analytics through its innovative use of AI and machine learning. It skillfully analyzes video feeds and generates immediate alerts upon detecting any irregularities. Our adaptable analytics framework enables Arcas not only to examine historical data but also to predict future trends, ensuring that decision-makers can respond with confidence. Additionally, it facilitates the seamless integration of diverse data sources, such as sensors and edge devices, presenting information in a unified format that is readily accessible to all stakeholders. This all-encompassing strategy equips organizations with the tools necessary to anticipate potential challenges and capitalize on emerging opportunities as they arise, ultimately strengthening their operational resilience.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Modirum Platforms

Date Founded

1997

Company Location

Finland

Company Website

modirumplatforms.com/m-orbit

Company Facts

Organization Name

BigBear.ai

Company Location

United States

Company Website

bigbear.ai/solutions/national-security/arcas/

Categories and Features

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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