Overview

We help electronics, semiconductors, computing, networking and other Hi-Tech enterprises and startups to become adaptive for technology innovations with:

  • Increased digitization of operations, manufacturing and supply chain
  • Improved asset efficiency and engineering productivity

Challenges

Multisource Data Ingestion

Data ingestion from manufacturing units to demand/supply chains is a major data challenge for Hi-Tech industry.

Remote Access to CAE Tools

On-premises CAE tools limit global teams to collaborate on design and engineering Hi-Tech products.

Less Responsive to Market Changes

Hi-Tech enterprises are less responsive to adopting changes in production, operations, supply chain, etc.

Unoptimized High-Mix Low Volume Manufacturing

High-mix low volume manufacturing requires optimized NPI processes otherwise it impacts efficiency and time consumption.

Disrupted Manufacturing Supply Chain

Hi-Tech enterprises are struggling with disruptions in the supply chain, so they need a roadmap with supply chain management.

Transitioning to Sustainbility

Sustainability is essential for Hi-Tech industry, but it requires smart production and sustainability transformations.

Who we serve

At Veltris, we help electronics, semiconductors, networking, computing, technology, and telecommunications organizations to adopt flexibility in design and production, resilience in supply chain and operations, and modernization in tech stack.

What we serve

We use best practices to transform user experiences in software used in Hi-Tech industry:

  • UI design with intuitive touch gestures and seamless UX
  • Custom, advanced app designs with easy access to critical data and management functionalities.
  • Powerful dashboard UI designs to get the most out of analytics and data visualization.
  • Simplified UI/UX to save time on design and production activities

With digital product designs, we create efficiencies in Hi-Tech enterprises

  • Design strategy and road mapping to different user journeys
  • Product designs to seamlessly work in manufacturing environments.
  • Intuitive workflows embedded with real-time data flow in production and supply chain.
  • Future proof product designs with reduced maintenance and revamps
  • Enterprise-grade product designs for software integrated into design, engineering, manufacturing, etc.

We help in building a full-fledged web, mobile, desktop and enterprise software to improve design, production/manufacturing and supply chain outcomes.

  • Administrative software development from team collaboration to asset tracking.
  • Industry regulations compliant software development
  • Next-gen tech software development for innovations.
  • Enterprise and industrial custom software

We help Hi-Tech enterprises to leverage cloud for collaboration and productivity, and DevOps to adopt continuous improvements in care delivery.

  • Data engine setup with real-time data access, integrated data and data interoperability
  • Connected and direct to manufacturing unit delivery with remote work access to teams
  • Reduced latency and quicker disaster recovery
  • Accelerated software delivery with automated change detection cloud and respond quickly to changing needs.
  • Automated continuous monitoring to ensure NPI processes are performing at optimal level.

For digital agility, we help Hi-Tech organizations modernize their tech stack.

  • Modernizing administrative toolkit with APIs to enable integrations custom functionalities
  • Modernizing to tech stack that support analyzing large volumes of big data and embrace AI/ML capabilities
  • Migrating to microservices architecture to extend integrations and create digital touchpoints.
  • Better manage inflow and outflow of data with real-time access to create value-based chains.
  • Domain driven design to reinvent applications usage and deliver superior production outcomes

Data Engineering

With data engineering, we help in eliminating data silos and amalgamate data sources to make data-driven and data-informed decisions.

  • Eliminating data silos in systems – engineering, manufacturing, supply chain, demand chain, etc.
  • Comprehensive data overview across consumer journey.
  • Enabling data aggregation to transform production to deliver productivity
  • Ensuring to deliver data engineering benefits.

Big Data

We help in leverage big data to improve the quality of NPI, and implement data-driven operations.

  • Improved analysis of data to remove duplication
  • Real-time alerts to prevent disasters in manufacturing
  • Evidence-based insights and measures
  • Improved capabilities for demand chain, logistics and supply chain
  • Descriptive recommendations and predictive measures for optimized operations and supply chain

Data Science

We help in leveraging data science to adopt advanced data powered capabilities such as:

  • Setup of robust descriptive analytical systems to track and assess company goals
  • Improved image analysis of industrial designs
  • Predictive models to identify potential risks
  • Consumer and manufacturing centered data-driven digital interactions
  • Operationalizing data governance with effective crisis management
  • Creating engaging digital programs across the enterprise.

Business Intelligence

We help in leveraging business intelligence for better demand-centric designs, administration, production performance, and correspondingly deliver improved outcomes.

  • Maximized transparency into financial planning to address core challenges
  • Performance dashboards which unveil inefficiencies in operations and administration
  • Patient satisfaction trends and forecast for proactive measures
  • Unveil history patterns to improve operations
  • Identify patterns in concerns across enterprise

Machine Learning

We help in leveraging machine learning for accelerated and improved R&D, Design, Production and supply chain.

  • Automatic defect classification
  • Predictive modelling for NPI
  • Machine Learning based trial design and production
  • Predicting market demands and consumer needs
  • Manufacturing optimization – production efficiency, statistical analysis, risk assessment and quality management

Deep Learning

We help in leveraging deep learning that encompasses deep neural networks to achieve breakthroughs in Hi-Tech industry.

  • Advanced image recognition to shorten inspection.
  • Anomaly detection to speed up the implementation of full scale systems
  • High speed physical simulator technology
  • Quality improvements in downstream shipped products
  • AI guided continuous process optimization

NLP

We help in harnessing the power of NLP to extract information across Hi-Tech enterprise.

  • Reusable language models for design guidelines
  • Sophisticated language models to extract engineering functional details
  • Domain specific preprocessing to enable multi-modal machine learning in downstream tasks
  • Accelerating digital twin creation process
  • Intelligent fault analysis with text descriptions
  • Digitizing product definitions
  • Text summarization to help engineers.

Computer Vision

We help in leveraging computer vision algorithms to automate image and video analysis to improve end-to-end production lifecycle.

  • Smart manufacturing with automated AI-powered inspections
  • Predictive maintenance of equipment
  • Smart supply chain monitoring
  • Automatic visual inspections
  • Defect and variations detections
  • High speed machine vision systems

Chatbots

We help in deploying AI-powered assistants trained in consumer faced conversations and operations support in day-to-day activities.

  • Identifying relationships between entities in retail, administration, operations, supply chain and software platforms data
  • Collecting the latest news on electronics, semiconductors, technology and software products/platforms.
  • Accelerate production report analysis
  • Customized AI-powered assistants for specific roles.

We help in adopting intelligent automation to leverage flexibility and speed in lab work, research, and drug development.

  • Automated ADE detection with pre-trained NLP models and pipelines
  • Automated regulator operations and corporate operations
  • Automated clinical trial management from data entry to trial reports generation
  • Automated inventory management from shipment tracking to notifying drug expiry

We help in leveraging real-time data generated by IoT for drug discovery, manufacturing and commercialization.

  • Real-time monitoring manufacturing quality and equipment for streamlined performance
  • Forecast demand for supply chain continuity
  • Better supply chain management using smart sensors for warehousing and routing of drugs
  • Real-time data insights on drug effectiveness, drug safety and regulatory compliance

We help in adopting blockchain streamline and optimize digitized critical life sciences business operations on a decentralized network.

  • End-to-end drug traceability prevents drug counterfeit
  • Fraud prevention in clinical trials
  • Robust IP protection with research data uploaded onto blockchain
  • Preventing drug shortages with untampered records for supply chain monitoring. Especially, cold chain monitoring in biopharma.
  • Reverse logistics for expired drug disposal

5G networks for faster and accurate clinical trials data transfer for decentralized clinical trials.

5G will boost Internet of Medical Things (IoMT)

5G reduces the times to process lab results from laboratories

Edge computing reduces latency and cost on data management, increases up-time, enhances data privacy across functions in life sciences.

We use best practices to transform user experiences in software used in Hi-Tech industry:

  • UI design with intuitive touch gestures and seamless UX
  • Custom, advanced app designs with easy access to critical data and management functionalities.
  • Powerful dashboard UI designs to get the most out of analytics and data visualization.
  • Simplified UI/UX to save time on design and production activities

With digital product designs, we create efficiencies in Hi-Tech enterprises

  • Design strategy and road mapping to different user journeys
  • Product designs to seamlessly work in manufacturing environments.
  • Intuitive workflows embedded with real-time data flow in production and supply chain.
  • Future proof product designs with reduced maintenance and revamps
  • Enterprise-grade product designs for software integrated into design, engineering, manufacturing, etc.

We help in building a full-fledged web, mobile, desktop and enterprise software to improve design, production/manufacturing and supply chain outcomes.

  • Administrative software development from team collaboration to asset tracking.
  • Industry regulations compliant software development
  • Next-gen tech software development for innovations.
  • Enterprise and industrial custom software

We help Hi-Tech enterprises to leverage cloud for collaboration and productivity, and DevOps to adopt continuous improvements in care delivery.

  • Data engine setup with real-time data access, integrated data and data interoperability
  • Connected and direct to manufacturing unit delivery with remote work access to teams
  • Reduced latency and quicker disaster recovery
  • Accelerated software delivery with automated change detection cloud and respond quickly to changing needs.
  • Automated continuous monitoring to ensure NPI processes are performing at optimal level.

For digital agility, we help Hi-Tech organizations modernize their tech stack.

  • Modernizing administrative toolkit with APIs to enable integrations custom functionalities
  • Modernizing to tech stack that support analyzing large volumes of big data and embrace AI/ML capabilities
  • Migrating to microservices architecture to extend integrations and create digital touchpoints.
  • Better manage inflow and outflow of data with real-time access to create value-based chains.
  • Domain driven design to reinvent applications usage and deliver superior production outcomes

Data Engineering

With data engineering, we help in eliminating data silos and amalgamate data sources to make data-driven and data-informed decisions.

  • Eliminating data silos in systems – engineering, manufacturing, supply chain, demand chain, etc.
  • Comprehensive data overview across consumer journey.
  • Enabling data aggregation to transform production to deliver productivity
  • Ensuring to deliver data engineering benefits.

Big Data

We help in leverage big data to improve the quality of NPI, and implement data-driven operations.

  • Improved analysis of data to remove duplication
  • Real-time alerts to prevent disasters in manufacturing
  • Evidence-based insights and measures
  • Improved capabilities for demand chain, logistics and supply chain
  • Descriptive recommendations and predictive measures for optimized operations and supply chain

Data Science

We help in leveraging data science to adopt advanced data powered capabilities such as:

  • Setup of robust descriptive analytical systems to track and assess company goals
  • Improved image analysis of industrial designs
  • Predictive models to identify potential risks
  • Consumer and manufacturing centered data-driven digital interactions
  • Operationalizing data governance with effective crisis management
  • Creating engaging digital programs across the enterprise.

Business Intelligence

We help in leveraging business intelligence for better demand-centric designs, administration, production performance, and correspondingly deliver improved outcomes.

  • Maximized transparency into financial planning to address core challenges
  • Performance dashboards which unveil inefficiencies in operations and administration
  • Patient satisfaction trends and forecast for proactive measures
  • Unveil history patterns to improve operations
  • Identify patterns in concerns across enterprise

Machine Learning

We help in leveraging machine learning for accelerated and improved R&D, Design, Production and supply chain.

  • Automatic defect classification
  • Predictive modelling for NPI
  • Machine Learning based trial design and production
  • Predicting market demands and consumer needs
  • Manufacturing optimization – production efficiency, statistical analysis, risk assessment and quality management

Deep Learning

We help in leveraging deep learning that encompasses deep neural networks to achieve breakthroughs in Hi-Tech industry.

  • Advanced image recognition to shorten inspection.
  • Anomaly detection to speed up the implementation of full scale systems
  • High speed physical simulator technology
  • Quality improvements in downstream shipped products
  • AI guided continuous process optimization

NLP

We help in harnessing the power of NLP to extract information across Hi-Tech enterprise.

  • Reusable language models for design guidelines
  • Sophisticated language models to extract engineering functional details
  • Domain specific preprocessing to enable multi-modal machine learning in downstream tasks
  • Accelerating digital twin creation process
  • Intelligent fault analysis with text descriptions
  • Digitizing product definitions
  • Text summarization to help engineers.

Computer Vision

We help in leveraging computer vision algorithms to automate image and video analysis to improve end-to-end production lifecycle.

  • Smart manufacturing with automated AI-powered inspections
  • Predictive maintenance of equipment
  • Smart supply chain monitoring
  • Automatic visual inspections
  • Defect and variations detections
  • High speed machine vision systems

Chatbots

We help in deploying AI-powered assistants trained in consumer faced conversations and operations support in day-to-day activities.

  • Identifying relationships between entities in retail, administration, operations, supply chain and software platforms data
  • Collecting the latest news on electronics, semiconductors, technology and software products/platforms.
  • Accelerate production report analysis
  • Customized AI-powered assistants for specific roles.

We help in adopting intelligent automation to leverage flexibility and speed in lab work, research, and drug development.

  • Automated ADE detection with pre-trained NLP models and pipelines
  • Automated regulator operations and corporate operations
  • Automated clinical trial management from data entry to trial reports generation
  • Automated inventory management from shipment tracking to notifying drug expiry

We help in leveraging real-time data generated by IoT for drug discovery, manufacturing and commercialization.

  • Real-time monitoring manufacturing quality and equipment for streamlined performance
  • Forecast demand for supply chain continuity
  • Better supply chain management using smart sensors for warehousing and routing of drugs
  • Real-time data insights on drug effectiveness, drug safety and regulatory compliance

We help in adopting blockchain streamline and optimize digitized critical life sciences business operations on a decentralized network.

  • End-to-end drug traceability prevents drug counterfeit
  • Fraud prevention in clinical trials
  • Robust IP protection with research data uploaded onto blockchain
  • Preventing drug shortages with untampered records for supply chain monitoring. Especially, cold chain monitoring in biopharma.
  • Reverse logistics for expired drug disposal

5G networks for faster and accurate clinical trials data transfer for decentralized clinical trials.

5G will boost Internet of Medical Things (IoMT)

5G reduces the times to process lab results from laboratories

Edge computing reduces latency and cost on data management, increases up-time, enhances data privacy across functions in life sciences.

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