Connect the Unconnected in Classified Areas

Securely and privately fill data blind spots to make better business decisions and maximize AI initiatives.

Empowering Classified Area Digital Transformation

The regulatory, security and privacy requirements of classified area manufacturing processes impose significant challenges in the creation, collection and analysis of the critical data required to ensure digital transformation success and improve yield, profitability and compliance while reducing waste, maintenance, and energy consumption. Thinaer’s IIot asset tracking and digital twin combined with Azure’s Secret Government Cloud is the solution

Filling Classified Area Digital Blind Spots

with Thinaer + Microsoft Azure Secret Government Cloud

  • Highest Security Levels!
  • Deidentified one-way signals from all BLE Beacons
  • Thinaer Platform & Sonar – FedRAMP Compliant
  • All Thinaer software services sterilized for AWS GovCloud and Azure Government Secret Cloud compliance
  • Deployed on an on-premises Air Gapped Server
  • Gateways are directly wired to the on-premises server
  • Microsoft Azure Secret Cloud ready

Asset Tracking & Much More

Secure and real-time location of assets and raw materials combined with simplified twins of each critical machine ensures synchronization between the physical world and actionable data.

Digital Twin

Extend the life of existing analog equipment with the addition of sensors to provide critical missing digital data. Sensors can report on everything from location, temperature, humidity, vibration, voltage, pressure, to rotation, the existence of light, and much more.

Azure Secret Government Cloud

A mission-critical cloud built to exceed requirements for classified and unclassified US Government data with a relentless commitment to national security enabling the vision of a multi-cloud strategy to achieve greater agility, interoperability, cost savings, and speed to innovation.

Find Your Classified Area Blind Spots

What most don’t know is that up to 75% of manufacturing processes are not connected leading to digital data blind spots. This challenge is further magnified by manual processes required today for classified areas that hinder accuracy and efficiency, ultimately even leading to regulatory breaches and fines.

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