HOME
ABOUT US
Artificial Intelligence Solutions
- Prediction using Machine Learning Tools
- Prognostic Health Monitoring using AI
INDUSTRY USE CASES
FAQs
CONTACT US

Our Story

RadomeTech was founded in the year 2017, in Bengaluru, India (popularly called as Startup Hub!) with a desire to empower today's data driven industries with advancement in technologies like Artifical Intelligence and Machine Learning while achieving highest efficiency at minimal cost.

Started as a company with couple of employees at a small space, now we have moved to a bigger place with a bunch of young talents, as we believe that young minds if trained can do wonders. We are a team of curious and creative engineers and designers; doers and makers who believe in the the power of technology.

RadomeTech is recognised by Ministry of Defence, Government of India and is supported for one of their challenges "AI for Supply Chain and Logistics" for Defence. RadomeTech's indegeniously developed product "LogiSmart" is now ready with its Beta Version with 2 modules "Inventory Forecasting" and "Demand Forecasting".

Our Journey

Founder

A Mechanical Engineer by Passion and Profession, Nagendra Prasad Kumble is the Founder-Director of RadomeTech. He worked in Aerospace and Defence industry for around 12 years for major Aerospace Giants like AirBus, Alten India and Axon. From initial days of his career, he aimed at being an entrepreneur to bring in quality changes in the industry especially manufacturing, through young minds of the nation.

Apart from RadomeTech, he is a photographer and a gardener by passion and has immense interest in Art.

Contact us to know more!

Contact us

Copyright Radome Techologies and Services Pvt Ltd 2020

Use Cases

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Use Cases

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

TELECOMMUNICATION

According to sources, 19% of Telecom companies are adopting AI by 2023 and 58% of Service providers see AI crucial for Network Management.

ANALYSE PERFORMANCE DATA

AUTOMATION OF NETWORK MANAGEMENT

SPOT ANOMALIES IN NETWORK TRAFFIC

IMPROVE NETWORK CAPACITY PLANNING

OIL & GAS

Oil & gas is one of the most lucrative industries, it is also one of the most dangerous. According to experts, 50% of Oil & gas industries say they have already begun AI to help solve challenges at their organisations.

OPTIMIZE PRODUCTION AND MAINTENANCE COST

ENHANCE QUALITY ASSURANCE

DEFECT DETECTION

ABILITY TO MAKE BETTER DECISIONS

REAL ESTATE

Experts believe that 16% of the Real Estate companies are adopting AI in their businesses by 2023 and are expected to see a marginal profit of around 50%

IMAGE RECOGNITION & ANALYSIS

ANALYSE PATTERNS

RISK FORECASTING

OPTIMIZE SCHEDULES

What we do.

We craft unisex leather bags and accessories for those, who appreciate premium handmade products, durable quality and urbane style.

AI for Healthcare

In the complex world of Healthcare, AI tools can support healthcare providers to provide faster service, diagonse issues and analyse data to identify trends or genetic information that would predispose someone to a particular disease.

AI ASSISTED MEDICAL DIAGNOSIS

MEDICAL RISK PREDECTION

AUTOMATED WORKFLOW ASSISTANCE

MEDICAL IMAGE ANALYSIS

Use Case

Aircrafts require a vast spectrum of parts to operate ranging from high cost repairable parts to low cost fast moving consumables Apart from the fact that certain parts are highly expensive, failure to have the necessary part readily available can also translate into expensive AOG (aircraft on ground) incidents.

Manufacturing

Experts believe that about 40% revenue boot will be there upon adopting to AI in Manufacturing. Around 50% of the manufacturers are planning to Invest on AI for their processes.

DETECTS FAULTS

REDUCE UNPLANNED DOWNTIME

PREDICTIVE MAINTENANCE

Quality control

Retail

According to sources, 85% of customer interaction in retail will be managed by AI by 2023 and a revenue growth of 10% on adopting AI in the business process.