From Reactive Repairs to Predictive Production: Your Smart Factory Starts Here.

We build AI-powered Industrial IoT solutions that connect your machines, predict failures, and unlock unprecedented operational efficiency. Stop firefighting. Start optimizing.

Engineer Your Smart Factory See Our Impact

Is Your Factory Floor Stuck in the Past?

The High Cost of 'Business as Usual'

Traditional manufacturing floors operate on guesswork and reaction. This outdated model leads to crippling inefficiencies that directly impact your bottom line.

Unplanned Downtime: Critical machinery fails without warning, halting production and causing costly delays.
Quality Issues & Waste: Defects are only caught after the fact, leading to expensive rework, scrap, and reputational damage.
Data Silos: Valuable information is trapped in legacy systems and spreadsheets, making true operational visibility impossible.
Rising Costs: Inefficient energy use, reactive maintenance, and manual processes continuously inflate operational expenses.

The Smart Factory Advantage

A Smart Factory leverages AI and IIoT to transform your operations from reactive to predictive, creating a self-optimizing, intelligent ecosystem.

Predictive Maintenance: AI algorithms analyze sensor data to predict failures *before* they happen, enabling proactive maintenance.
Real-Time Quality Control: AI-powered vision systems monitor production lines 24/7, identifying microscopic defects instantly.
Unified Operations View: A central platform integrates data from all assets, providing a single source of truth for decision-making.
Optimized Efficiency: Continuously monitor and optimize energy consumption, asset utilization, and production flow to reduce costs and boost OEE.

Our AI-Enabled Smart Factory & IIoT Services

We offer a comprehensive suite of services to design, build, and manage your entire smart manufacturing ecosystem. We don't just provide technology; we deliver tangible operational outcomes.

Custom IIoT Platform Development

We build the central nervous system for your factory. Our custom platforms aggregate data from any sensor, machine, or system (ERP, MES) into a single, intuitive dashboard, providing you with complete, real-time operational awareness.

Vendor-Agnostic Integration: Connect to any asset, from modern PLCs to legacy analog machinery, using custom gateways and protocols.
Real-Time Dashboards: Visualize critical KPIs, production status, and asset health on any device, anywhere.
Scalable & Secure Architecture: Built on robust cloud (AWS, Azure) or hybrid infrastructure designed for high-volume data and enterprise-grade security.

AI-Driven Predictive Maintenance (PdM)

Move beyond scheduled maintenance. Our PdM solutions use machine learning to analyze vibration, temperature, and other sensor data to forecast equipment failures with up to 95% accuracy, turning unplanned downtime into planned, efficient repairs.

Advanced Anomaly Detection: Identify subtle deviations from normal operating parameters that signal impending failure.
Failure Pattern Recognition: Train models to recognize the specific signatures of different failure modes (e.g., bearing wear, motor burnout).
Automated Work Order Generation: Integrate with your CMMS to automatically schedule maintenance tasks when a potential failure is detected.

Digital Twin Implementation

Create a living, virtual replica of your physical assets and processes. Digital twins allow you to simulate production scenarios, test process changes in a risk-free environment, and optimize performance based on real-world data.

Asset & Process Simulation: Model the behavior of individual machines or entire production lines to identify bottlenecks and inefficiencies.
"What-If" Scenario Analysis: Test the impact of changes (e.g., new materials, different machine settings) before implementing them on the factory floor.
Real-Time Synchronization: The digital twin is continuously updated with live data from its physical counterpart, ensuring an accurate representation.

AI-Powered Quality Control & Vision Systems

Automate and enhance your quality inspection processes. Our computer vision solutions use high-resolution cameras and deep learning models to detect microscopic defects, ensure assembly accuracy, and verify product specifications at production line speed.

Defect Detection: Identify cracks, scratches, misalignments, and other flaws invisible to the human eye.
Assembly Verification: Ensure all components are present, correctly placed, and properly secured.
Root Cause Analysis: Correlate defect data with production parameters to quickly identify the source of quality issues.

Overall Equipment Effectiveness (OEE) Optimization

We help you measure, analyze, and systematically improve your OEE score. By automatically tracking availability, performance, and quality, we provide actionable insights to eliminate the "Six Big Losses" of manufacturing and maximize your productive capacity.

Automated Data Capture: Eliminate manual tracking and get accurate, real-time data on machine status and output.
Loss Analysis: Pinpoint the primary drivers of lost production time, from minor stops to reduced speed and defects.
Continuous Improvement Tools: Leverage data to drive targeted improvements and track their impact on your OEE score over time.

Our Full Spectrum of Smart Manufacturing Solutions

Beyond the core offerings, we provide a range of specialized services to complete your digital transformation journey.

Sensor Integration & Edge Computing: Deploying and configuring the right sensors and processing data locally for faster response times.
Supply Chain Visibility Platforms: Tracking materials and products from supplier to customer for end-to-end transparency.
Energy Management & Sustainability: Monitoring and optimizing energy consumption to reduce costs and meet ESG goals.
Connected Worker Solutions (AR/VR): Empowering your workforce with augmented reality overlays for maintenance and training.
MES/ERP & CMMS Integration: Ensuring seamless data flow between your factory floor and enterprise business systems.
Cybersecurity for OT/IT Environments: Protecting your critical operational technology from cyber threats.
Advanced Data Analytics & Visualization: Turning raw factory data into strategic business intelligence.
Robotics & Automation Integration: Integrating cobots and autonomous mobile robots (AMRs) into your workflows.
Real-Time Asset Tracking & Management: Using RFID, BLE, and UWB to monitor the location and status of tools, equipment, and inventory.
Automated Compliance & Reporting: Automating the generation of reports for regulatory and quality compliance.

Why Partner with CIS for Your Digital Transformation?

Deep Domain Expertise

We're not just IT experts; we're manufacturing specialists. We understand the unique challenges of the factory floor, from OT protocols to production workflows.

End-to-End Solutions

From initial strategy and sensor selection to platform development, AI model training, and 24/7 support, we are your single partner for the entire journey.

Legacy System Integration

Your existing machinery isn't a barrier; it's a starting point. We specialize in connecting and extracting value from legacy equipment, protecting your investments.

Security-First Approach

With SOC 2 and ISO 27001 certifications, we build security into the core of our solutions, ensuring your critical operational data is always protected.

ROI-Driven Implementation

We begin with pilot projects focused on your biggest pain points to demonstrate tangible value and build a business case for a full-scale rollout.

100% In-House Experts

Our team of 1000+ data scientists, IoT engineers, and cloud architects are all full-time CIS employees, ensuring quality, consistency, and accountability.

Global Scale, Local Support

With a 20-year track record and global delivery capabilities, we have the scale to support large enterprises while providing dedicated, personalized service.

AI-Enabled Delivery

We use AI internally to accelerate our own development, testing, and deployment processes, delivering higher quality solutions faster and more efficiently for you.

True Partnership Model

We succeed when you succeed. We work as an extension of your team, providing strategic guidance and hands-on support to ensure long-term success.

Our Proven 4-Step Implementation Process

Discover & Strategize

We begin with a deep dive into your operations, KPIs, and pain points. We conduct on-site assessments, map your existing infrastructure, and collaborate with your team to define a clear, ROI-focused roadmap for your smart factory initiative.

Pilot & Prove

We identify a high-impact area for a pilot project (e.g., predictive maintenance on a critical asset). We deploy sensors, connect to your systems, and build a proof-of-concept to demonstrate tangible value and secure stakeholder buy-in within weeks.

Scale & Integrate

Using the insights from the successful pilot, we develop and deploy the full-scale solution. This involves building the robust IIoT platform, integrating with your ERP/MES, training AI models, and rolling out the solution across multiple assets or production lines.

Optimize & Support

Our partnership doesn't end at launch. We provide ongoing 24/7 monitoring, support, and continuous optimization services. We fine-tune AI models, enhance dashboards, and work with you to identify new opportunities for improvement and innovation.

Real-World Results: Our Success Stories

Eliminating Assembly Line Downtime for a Tier 1 Automotive Supplier

Industry: Automotive Manufacturing

"CIS didn't just give us a dashboard; they gave us foresight. We now fix problems a week before they would have shut us down."

- Michael Harper, VP of Operations, Global Auto Parts Inc.

The Problem

The client's robotic welding line was plagued by unpredictable failures in the servo motors, causing an average of 8 hours of unplanned downtime per month and disrupting just-in-time delivery schedules.

Key Challenges

Failures occurred without any obvious warning signs.
Scheduled maintenance was inefficient, replacing parts that were still functional.
Lack of data to pinpoint the root cause of recurring issues.
Downtime penalties from their OEM customers were substantial.

Our Solution

We implemented an end-to-end predictive maintenance solution:

Installed vibration and thermal sensors on all critical servo motors.
Developed a custom machine learning model to detect unique failure signatures from the sensor data.
Deployed an edge computing device to analyze data in real-time on the factory floor.
Created a dashboard that issued maintenance alerts with 7-10 days of lead time before a predicted failure.

35%

Reduction in Maintenance Costs

90%

Decrease in Unplanned Downtime

15%

Increase in Production Throughput

Achieving Near-Zero Defects for a Global CPG Company

Industry: Consumer Packaged Goods (CPG)

"The AI vision system from CIS is more reliable than our best human inspectors. It catches defects we didn't even know we were producing. Our return rates have plummeted."

- Sarah Jenkins, Quality Assurance Director, FreshFoods Global

The Problem

The client's high-speed bottling line was experiencing inconsistent quality, with issues like improper cap seals, label misalignments, and underfills leading to customer complaints and product returns.

Key Challenges

Line speeds were too fast for reliable manual inspection.
Subtle defects were frequently missed, only to be found by consumers.
No systematic way to trace defects back to specific production batches or times.
High labor costs associated with manual quality checks.

Our Solution

We deployed an AI-powered computer vision system at a critical checkpoint:

Installed high-resolution industrial cameras and specialized lighting.
Trained a deep learning model on thousands of images of "good" and "bad" products.
Integrated the system with the line's PLC to automatically reject defective items in real-time.
Developed a quality analytics dashboard to track defect trends and correlate them with machine performance.

99.8%

Defect Detection Accuracy

75%

Reduction in Customer Complaints

50%

Decrease in Manual Inspection Labor

Optimizing Performance with a Digital Twin for an Industrial Equipment OEM

Industry: Heavy Machinery & Industrial Equipment

"With the digital twin, we can test new software updates and operating parameters virtually. It's like having a crystal ball for our equipment. This has become a major competitive advantage."

- David Chen, Chief Technology Officer, Titan Industrial

The Problem

The client manufactures large, complex industrial compressors. They needed a way to optimize performance for different customer environments and test new control software without risking damage to expensive physical prototypes.

Key Challenges

Physical testing was time-consuming, expensive, and limited in scope.
Optimizing equipment for a specific customer's environment was based on trial and error.
Difficult to diagnose performance issues remotely once equipment was deployed in the field.
Long development cycles for new software and feature updates.

Our Solution

We built a high-fidelity digital twin of their flagship compressor model:

Created a physics-based simulation model of the compressor's mechanical and electrical systems.
Integrated the model with real-time data streaming from sensors on deployed units.
Developed a "what-if" analysis tool for engineers to simulate different load conditions and environmental factors.
Enabled a "software-in-the-loop" environment for safely testing new control algorithms on the virtual model.

25%

Faster R&D and Testing Cycles

10%

Improvement in Equipment Efficiency

40%

Reduction in Physical Prototyping Costs

Our Technology Stack & Tools

Industries We Empower

Automotive & Aerospace

Consumer Packaged Goods

Pharmaceuticals & Life Sciences

Heavy Machinery & Industrial

Energy & Utilities

Electronics & Semiconductors

Logistics & Supply Chain

Food & Beverage

What Our Clients Say

Working with CIS was a game-changer. Their predictive maintenance solution for our CNC machines has virtually eliminated unplanned downtime. They understood our operational needs from day one and delivered a solution that provided ROI in under 9 months.

Aaron Welch

Plant Manager, Aerospace Components Manufacturer

The level of expertise in both IoT and data science at CIS is unparalleled. They successfully integrated over 200 legacy assets into a unified platform, giving us a level of visibility we never thought possible. Their team feels like an extension of our own.

Amelia Norton

Director of Digital Transformation, Global Chemicals Corp

We were concerned about data security with a cloud-based IIoT solution. CIS designed a hybrid architecture that keeps our most sensitive data on-premise while leveraging the cloud for heavy analytics. Their commitment to security was evident throughout the project.

Bennett Fry

CTO, Pharmaceutical Packaging Inc.

Meet Our Smart Manufacturing Experts

Akeel Q.

Manager, Certified AI & Machine Learning Specialist, Cloud Solutions Expert

Prachi D.

Manager, Certified Cloud & IoT Solutions Expert, AI Solutions Lead

Ravindra T.

Manager, Certified Cloud & IoT Solutions Expert

Vikas J.

Divisional Manager, Certified Expert Ethical Hacker, Enterprise Cloud & SecOps Solutions

Frequently Asked Questions

We specialize in bridging the gap between old and new. We use a combination of IIoT gateways, protocol converters, and non-invasive sensors (like clamp-on vibration or current sensors) to extract data from virtually any machine, regardless of its age, make, or model. We can tap into PLCs, SCADA systems, or even digitize analog outputs, ensuring no asset is left behind.

A typical pilot project, focused on a specific high-impact area like a single critical machine or a small production cell, is designed to deliver demonstrable results quickly. The entire process from initial assessment to a live, data-streaming dashboard usually takes between 6 to 10 weeks. Our goal is to prove the value and ROI fast to build momentum for a wider rollout.

Security is paramount in everything we build. We employ a multi-layered security strategy that includes:

Edge Computing: Processing sensitive data on-premise to minimize exposure.
Data Encryption: All data is encrypted both in transit and at rest using industry-standard protocols.
Network Segmentation: Isolating the Operational Technology (OT) network from the IT network to prevent lateral movement of threats.
Secure Cloud Architecture: Adhering to best practices for AWS/Azure, including strict access controls and continuous monitoring.
Compliance: Our processes are SOC 2 and ISO 27001 certified, ensuring we meet the highest standards for data security and governance.

While ROI varies based on the specific application, our clients typically see significant returns across multiple areas. For predictive maintenance projects, it's common to see a 25-40% reduction in maintenance costs and a 70-90% reduction in unplanned downtime. AI-driven quality control can reduce defect rates by over 90%. OEE optimization initiatives often yield a 10-20% increase in overall production capacity without any new capital expenditure. We work with you to build a detailed business case and track these metrics from day one.

You don't need to. We offer flexible engagement models to suit your needs. Our most popular option is our end-to-end managed service, where we handle everything from system monitoring and maintenance to AI model retraining and dashboard updates. We act as your dedicated Smart Factory team, providing you with actionable insights and support, allowing your team to focus on what they do best: manufacturing.

Ready to Build Your Factory of the Future?

Your journey to higher efficiency, lower costs, and zero unplanned downtime starts with a conversation. Let our experts provide a free, no-obligation assessment of your operations and show you the tangible ROI of a Smart Factory solution.