AI based Asset Management

Operations Planning

Financial Planning

Empower Resources & Training

IoT data meets machine learning. Leveraging AI-twin, raw IoT data is refined into concise, human-usable concepts, unlocking new avenues for understanding and utilization.

Digital Twin

Bridge the gap between physical and virtual, brinign transparency and confidence. A twin with knobs that let you tweak things in virtual world evaluate impact before committing in real enevironment.

AI intelligence

Transform sensor signals into actionable moments. Elevate tens of Iot signals into meaninful narratives. Form a complete picture from Iot fragements and data points

Why it matter

For Business Analyst

Raw Signal Intelligence

AI Twin goes beyond simply collecting data. It ingests raw signals from across your factory floor, from sensors on machines to environmental indicators.

For Data Scientists

Experimentation Playground

Want to test new production tweaks without risking real-world disruptions? AI Twin's virtual environment lets you experiment safely and see the potential impact before making changes.

Well governed data

Data Lineage and Extensibility

To build a commercial data product, create a base data product. Then add extension to these data product by adding various types of transformation. However it lead to complexity as you have to manage Data Lineage. Use knobs for lineage and extensibility


Higher-Level Data Products:

Forget data overload! AI Twin transforms raw data into actionable insights in the form of easily digestible data products,

Knowledge worker

For Machine and Human

AI Twin's data products are designed for both humans and machines. Business users gain clear, actionable insights, while automated processes can leverage the data for real-time optimization. With AI Twin, you can:

Business and Finance

Extend equipment life

Implement predictive maintenance to avoid costly breakdowns and keep your machines running smoothly


Pre Built Capabilities

  • Capability deployed in production
  • Tools to create EDAs on IoT, Time series data and identify pattern
  • Ability to extend datasets - sampling, Active Learning, Weak Supervision
  • Synthetic Data Generation, Ability to use data from different domain
  • Multiple models built and tested - ML and Deep Learning
  • Explainability approaches built
  • Health Index computation for asset
  • Remaining useful life computation
  • Predictive maintenance - probability of failure
  • anomaly detection
  • Fractional CTO for AI Twin

    Startup and enterprise who wish to build their own data prodct can hire expertise to build Data product using generative AI

  • AI Twin expertise
  • Machine Learning expertise
  • Data product building expertise
  • Cloud - AWS, GCP,Azure
  • Customization Team

    Choose a partner with deep experience in delivering Industry 4.0, Smart Factories, Optimized Data Center capabilities

    Hire experts who have built predicitve maintenance, remaining useful life, factory hearl scenarios