Thinxtream’s IoT Services can help you to realize your IoT solution through the various phases – connect, monitor, manage, collaborate, innovate – in a structured manner – discovery, proof, launch, accelerate.
Understand why Thinxtream is ideally positioned to be your IoT Solutions and IoT Services partner.
Connected Products enables the Connectivity, Monitoring and Management of your existing and new devices. See how you can transform your traditional devices into Connected Devices
Smart Services encompasses Collaboration and Innovation with your Connected Devices. See how Smart Services can transform your business into a Connected Business.
Implementing IoT Solutions can be complex, time-consuming and expensive.
We are a one-stop shop for all your Connected Products and Smart Services requirements. Check out our IoT Solutions and IoT Services capabilities.
Leverage our IoT Services to build custom IoT Solutions for your Connected Products and Smart Services on industry-leading IoT Cloud Platforms from AWS and Azure.
We can also enhance your IoT Solutions with the enterprise integration, big data analytics and machine learning capabilities offered by Amazon and Microsoft.
Are you ready to meet the competitive challenge from “digital natives”? How much do you know about your customers? What if you have direct, real-time access to identify their needs and fulfill them? Are you struggling to implement your IoT strategy?
With our Contextual Commerce Service, a proven, ready “as a service” platform, you can rapidly deploy IoT Smart Services for Auto Fulfillment or Auto Replenishment that automatically identify individual customer needs and fulfil them either directly, or through channel partners, or in a hybrid approach.
Big Data technologies play a vital role in processing the massive amounts of data generated by IoT solutions. Read our IoT and Big Data White Paper to understand the unique characteristics and challenges for data analytics, the typical architecture of an IoT Big Data ecosystem and how Azure, AWS as well as open source alternatives are available for implementing it.
In IoT, with the convergence of the physical and computer worlds, security, privacy and compliance issues extend across the entire IoT solution. Read our Security in IoT White Paper to understand how AWS IoT and Azure IoT Hub platforms address secure provisioning of connected devices, secure connectivity between the connected devices and the cloud, and secure data processing and storage in the cloud.
Securing data pertaining to IoT devices is becoming important. Read our IoT and Blockchain White Paper to see how Blockchain distributed ledger technology and public platforms such as Ethereum™ can be used to store records of transactions between connected devices in a secure manner, curtail fraud and enable the customer to enter into genuine transactions.
AWS IoT stands out due to its feature-rich portfolio and significant customer base. Read our Developing IoT Solutions with AWS IoT Platform White Paper, to learn more about the different components and reference architecture of a typical IoT platform and how the AWS IoT platform realizes them through its managed services.
Azure IoT Hub provides several cloud services and SDKs to build end-to-end IoT solutions catering to various real-life situations. Read our Developing IoT Solutions with Azure IoT Hub Platform White Paper, to learn more about the different building blocks and reference architecture of a typical IoT platform and how the Azure IoT Hub platform realizes them through its managed services.
Embedded firmware is at the heart of smart, connected devices and connected products. It enables smart operations, edge intelligence, drivers for various hardware interfaces, device to cloud connectivity and device security. Read our IoT and Firmware White Paper to understand more about the role of firmware in IoT devices.
Businesses are faced with an increasing demand to instantly respond to an anomaly, fraud, or a potential disaster. Read our IoT Edge Analytics & IoT Machine Learning White Paper to understand how IoT Edge Analytics and Machine Learning enables real-time response, based on the instantaneous sensor data and predictive analysis of historical data.
Testing complex IoT solutions with large number of connected devices, which continuously generate data, poses challenges for any business. Read our IoT Testing Challenges & Approaches White Paper to see how a multidisciplinary IoT Testing approach, with well-planned test strategies, and use of appropriate automation, simulation, virtualization and measurement tools can result in high-quality IoT solutions.
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