Suppliers > United States > Accure Inc

Accure Inc

A Cognitive Computing Company
Accure Inc Logo
Overview
HQ Location
United States
Year Founded
2011
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Company Description

We've trained AI models for various industry specific use cases. These models are ready to be deployed and used in production. This rapid deployment of AI models in production saves on time & cost, and reduces risk of failure. Browse through available models to learn what kind of business problems they solve and how you can take advantage of them.

IoT Solutions

Momentum supports connecting IoT devices securely. Millions of devices can securely send streams of data to Momentum via streaming hub. The incoming streams of data are analyzed in realtime and insight can be either stored within momentum or sent to external storage systems. Analyzed data can be displayed within Momentum Insight in the form of dashboard.

Why Momentum IoT

Per device level security

Massive scalability – millions of concurrent devices

Batch analytics for Machine Learning model development

Realtime stream analytics

Smart alerts

Sensors from street lights send streams of data to Momentum which predicts lights dimming schedule. This saves about 45% of energy cost.

Improve manufacturing efficiency by connecting sensors and devices to Momentum and analyzing them in realtime.

Develop predictive analytics and smart alerts to effectively perform Preventive Maintenance of machines and equipment and save cost and prevent downtime.

Key Customers

Health Promotion Board Singapore

Airnus

Veptas

 

IoT Snapshot
Accure Inc is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the finance and insurance, healthcare and hospitals, and oil and gas industries.
Technology Stack
Accure Inc’s Technology Stack maps Accure Inc’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT Technology stack.
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:
None
Minor
Moderate
Strong

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