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features
design
support

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Write a Review

Description

The data generated by IoT devices is predominantly unstructured, posing challenges for analysis using conventional analytics and business intelligence tools that cater to structured data formats. This type of data is often derived from devices that capture inherently noisy processes like temperature, motion, or sound, leading to frequent occurrences of significant gaps, corrupted messages, and erroneous readings that necessitate cleansing prior to any analytical work. Moreover, the significance of IoT data frequently relies on supplementary inputs from third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings with rainfall data, assisting farmers in making informed decisions on when to irrigate their crops, thereby optimizing water usage and boosting harvest yields. AWS IoT Analytics simplifies and automates the complex steps involved in analyzing data from IoT devices, making it easier for users to gain insights. This service is fully managed and operates on a pay-as-you-go model, ensuring automatic scaling to accommodate varying data volumes. Consequently, organizations can leverage AWS IoT Analytics to advance their operational efficiencies and make data-driven decisions with greater ease.

Description

Thinaer's innovative solution combines data generated by machines, insights from employee feedback, and AI-driven analytics to deliver unparalleled operational intelligence and actionable insights. Utilizing Bluetooth Low Energy (BLE) technology alongside an API-focused user interface, Thinaer's Industrial Internet of Things platform effectively captures vital operational metrics. This platform monitors various factors such as location, vibration, temperature, humidity, current draw, proximity, and beyond. Furthermore, Thinaer's unique feedback application integrates real-time input into everyday business workflows, allowing for valuable contributions from employees, clients, and other key stakeholders. By merging this employee feedback with IIoT data, our analytics help clients discern the current situation, understand the underlying reasons, and determine the appropriate actions to take. The in-platform analytics dashboard offers immediate visibility into operational performance, while our advanced analytics harness machine learning and artificial intelligence to boost efficiency and reduce costs. As a result, businesses can make informed decisions that lead to better outcomes and a more streamlined operational process.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
AWS IAM Identity Center Yes 
Oracle Database@AWS Yes 

Integrations

AWS App Mesh No 
AWS IAM Identity Center No 
Oracle Database@AWS No 

Pricing Details

$3.43 per month
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 No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Amazon Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/iot-analytics/

Vendor Details

Company Name

Thinaer

Founded

2016

Country

United States

Website

thinaer.io

Product Features

Asset Tracking

Activity Tracking No 
Audit Trails No 
Barcoding / RFID No 
Checkout / Check-In No 
Depreciation Tracking No 
Disposal Tracking No 
Inventory Management No 
Location Tracking No 
QR Codes No 
Reservations No 
Service History No 

EAM

CMMS No 
Energy Management No 
Equipment Management No 
Facility Management No 
IT Asset Management No 
Inventory Management No 
Maintenance Management No 
Parts Management No 
Preventive Maintenance Scheduling No 
Software License Management No 
Warranty Management No 
Work Order Management No 

Equipment Maintenance

Customer Database No 
Dispatch Management No 
Equipment Tracking No 
Inventory Control No 
Job Management No 
Maintenance Scheduling No 
Warranty Tracking No 
Work Order Management No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

IT Asset Management

Asset Tracking No 
Audit Management No 
Compliance Management No 
Configuration Management No 
Contract/License Management No 
Cost Tracking No 
Depreciation Management No 
IT Service Management No 
Inventory Management No 
Maintenance Management No 
Procurement Management No 
Requisition Management No 
Supplier Management No 

Maintenance Management

Asset Tracking No 
Billing & Invoicing No 
Calibration Management No 
Dispatch Management No 
Inventory Control No 
Inventory Management No 
Key & Lock Management No 
Mobile Access No 
Planning Calendar No 
Predictive Maintenance No 
Preventive Maintenance No 
Purchasing No 
Scheduling No 
Service History Tracking No 
Technician Management No 
Work Order Management No 

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

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 

Asset Tracking

Activity Tracking No 
Audit Trails No 
Barcoding / RFID No 
Checkout / Check-In No 
Depreciation Tracking No 
Disposal Tracking No 
Inventory Management No 
Location Tracking No 
QR Codes No 
Reservations No 
Service History No 

Contact Tracing

AI Virtual Agents No 
Forms / Surveys No 
Hot Zone Alerting No 
Journey Mapping No 
Notifications No 
Proximity Tracing No 
SMS / Email / Voice Communications No 
Symptoms Reporting No 
Test Results Reporting No 
Wearable Integration No 

Digital Workplace

Activity / News Feed No 
Calendar Management No 
Chat / Messaging No 
Content Management No 
Document Management No 
Employee Directory No 
File Sharing No 
Knowledge Management No 
Surveys & Feedback No 
Task Management No 

Environmental

Air Management No 
Auditing No 
Compliance Management No 
Document Management No 
Emissions Inventory No 
Hazardous Materials Control No 
Sustainability Management No 
Training Management No 
Waste Management No 
Water Management No 

Industrial IoT

Condition Monitoring No 
Data Visualization No 
Factory Data Analytics No 
Machine Learning No 
Machine Workflow Creation No 
Predictive Maintenance No 
Production Line / Factory Insights No 
Real-Time Monitoring No 
Reporting / Analytics No 
Smart Alerts / Notifications No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

Supply Chain Management

Demand Planning No 
Electronic Data Interchange No 
Import / Export Management No 
Inventory Management No 
Order Fulfillment No 
Order Management No 
Sales & Operations Planning No 
Shipping Management No 
Supplier Management No 
Transportation Management No 
Warehouse Management No 

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