Digital Manufacturing

Predictive Analytics. Making it easier to improve operational effectiveness, faster time-to-market, and new product development.

The transition to digital manufacturing has increased due to the rise in the quantity and quality of computer systems.

And with digital technology embedded into our lives, the amount of data generated by smart devices and the Internet of Things (IoT) is unprecedented. 
Migrating to smarter infrastructures has opened up significant opportunities to leverage the available data insights, in real-time. Business can apply mature data science and machine learning (ML) technologies to drive automation, intelligent decisions on the fly, and feedback loops with no manual intervention.

Our AI Analytics and Data capabilities:

Delivery Services | AI Service Center Services | Co-innovate

SAP Analytics

SAC SAP BW/4HANA BOBJ/Lumira Embedded Analytics

Cloud Data Engineering

Azure | AWS | GCP Data Lake Data Pipelines

AI & Analytics

Data Science/ML Predictive Models Visualization

Data & BI

DWH | ETL | BI | MDM | DM | DG | Data Mart

Clients we work with


Predictive Maintenance Analytics - Assurance Risk Model

How does it work?

Affirmative Scoring takes various data sets, assets, GIS, work orders, plan and maintenance, and applies various mathematical, statistical and advanced predictive model techniques. The model segments the assets into low, medium and high risk areas.

The low-risk assets segments can leverage automation processes automation processes to drive efficiencies and productivity, while the high risk areas can be dealt with using proactive and predictive maintenance intervention strategies.


Assurance Predictive Maintenance Analytics
can be applied to:

Predict water leakage for water utilities with 80% confidence, days in advance

Provide assurance to Oil & Gas pipeline inspection companies to look for risk features

Predict equipment or parts failure for various manufacturing or linear assets

Avenues to look for sustainability and carbon-neutral initiatives

Predict safety and HSE aspects


Our Approach

Our approach at invenioLSI is to create an actionable insight driven transformation approach, enabling organizations to manage datasets ensuring accuracy and efficiency. Our methodology automates the entire data analysis workflow, providing a more efficient and comprehensive insights. Our experts can help you address business challenges, while adding real business value, using our unique invenioLSI approach.

We have over 20 years of experience serving high-profile organizations in the private sector. We enable enterprises to build and refine their operations and processes, build new services, and optimize solutions to give businesses an intuitive, efficient digital system. We offer end-to-end Digital Manufacturing Analytics solutions across data integration, risk modelling, visualization, data science and machine learning models, and business intelligence (BI):

  • Data integration: enables risk modelling and geospatial overlay of data onto the pipelines

  • Risk modelling: semi-quantitative risk model applied to liquid and gas pipelines near real-time

  • Data / Risk visualization: Geospatial map: 

Send us a message

The invenioLSI team is standing by to answer your questions. Whether it's about our company, support & services, the industries we work in, or you just want to learn more, we are here to help.