Components of DataPX1

Data Twin Creation

Utilizing proprietary algorithms, DataPX1 creates Digital Twins for machinery, enhancing monitoring and decision-making capabilities.

Connectivity with Actual Assets

Custom-built APIs establish real-time connections between physical assets and Digital Twins, ensuring data synchronization.

Auto Data Ingestion

Through REST APIs, DataPX1 automates the ingestion of raw Machinery IoT Data into our advanced Data Engine, ensuring up-to-date information.

GenAI-Based Auto Labeling of KPIs

GenAI technology automatically labels Key Performance Indicators from raw data, improving efficiency in data interpretation.

Advanced Analytics & Anomaly Detection Engine

Predictive analytics and anomaly detection enable timely interventions and optimizations in machinery performance.

End Effector Engine

This component generates autonomous actions if possible (safety and security requirements considered) based on insights from the Analytics Engine, enhancing operational efficiency.

DataPX1 operates as a holistic solution, offering

End-to-End Autonomous Data Engine

Seamlessly integrating data creation, connection, ingestion, prediction, and action within a single platform.

Versatility across Machinery Types

Designed to cater to various machinery types, from manual to fully autonomous systems.

Multi-Layered Platform Operations

Operating on multiple layers, providing depth and sophistication in data processing and analysis.

Unique End-to-End Services

Offering both standalone services and end-to-end solutions, allowing customers to tailor their engagement based on specific needs.
In summary, DataPX1 stands as a unique platform for autonomous data management, capable of enhancing industrial efficiency across diverse machinery types through advanced analytics and automated/autonomous decision-making.

What are we solving

  • Machine economy is slowly transforming towards an Automated/Autonomous Future
  • Huge surge of Data coming out of these machines
  • Need for a seamless data interoperability also managed in an autonomous manner with no human intervention
  • Need for Sustainable, Safer and Data Driven Machinery ecosystem
  • Support different architectures

Current Challenges for Heavy Machinery OEM

  • Huge amount of Data and no proper understanding of it
  • Disparate Systems doesn't talk to each other
  • Data Availability and Data Quality is an issue
  • Use of AI without establishing a Data Infrastructure for optimal benefits
  • AI implemented in small pockets without a holistic vision

Need of the Hour

  • A Platform that Auto Connect to Machinery, Auto Fetch Data, Understands the Data and Generate a Tangible End Outcome, all managed seamlessly in an Autonomous manner, with zero human intervention

How does DataPX1 work

  • Data PX1 comes with a Multi-Layer Technology Stack that is Autonomous in nature
  • It comes with a Data Twin layer which creates scalable Digital Twins from one to million plus assets, in a matter of minutes using our proprietary GenAI algorithms
  • Once Twins are created, it is able to establish connection with the physical assets using our Out of the Box Data Connectors
  • Post Connection, using our proprietary APIs, we start fetching the raw stream of data and ingest into our data cloud managed in the AWS
  • Then comes our 2nd Tech Layer, within our engine, that takes raw data as input and generates auto-labelling of KPIs from the data, using our proprietary GenAI models
  • The 3rd Layer inside our engine, then looks at analysing the labelled data and detects anomalies and also forecasting
  • Finally there is a 4th Layer in the tech stack, which is the end Actor Layer, that auto generates an end Action from our Engine, which gets induced on to the physical assets
  • All of this is managed end to end, using AI and is without any or minimal human intervention

 DataPX1 -Usecases

Some of our Usecases & Ideation leveraging our Platform – 10+ Machinery & Asset Usecases already using our GenAI driven platform. Some usecase examples are as follows:
  • Apply Braking selectively on Straddle Carrier Machines, remotely in an autonomous way, based on an anomaly detection tied to Field operations safety
  • Auto-Switch Off or transient temperature control remotely, in case of threshold breach
  • Auto generation of Tickets and Service Calls on Machine Failure or Parts Failure
  • Preventive maintenance of Assets for Assets Damage Control
  • Fuel Consumption Monitoring for Low Carbon Footprints
  • Interactive Customer exchanges for improving Customer Experience
  • Solar Battery Usage Monitoring and Failure Control