Overview
Unified Data & AI Ecosystem for Modern Businesses
Our Data & AI solutions bring together analytics, machine learning, automation, and cloud technologies to create a connected ecosystem. We help organizations move from raw data to real-time insights and intelligent decision-making.
Analytics
AI/ML
Automation
Services Architecture
From data collection and analysis to advanced machine learning, generative AI, and intelligent automation, these data and AI solutions cover every stage of your digital transformation journey. Whether you need one service or a full roadmap, each stage is delivered by engineers who specialize in that specific discipline.
Analytics
Data Analytics
Transform raw data into meaningful insights with dashboards, reporting, and advanced analytics.
IoT
IoT Data Management
Capture, process, and analyze data from connected devices to enable real-time monitoring and decision-making.
AI/ML
Machine Learning Development
Build custom ML models to predict outcomes, detect patterns, and automate complex decision-making at scale.
GenAI
Generative AI Solutions
Develop AI-powered content generation, chatbots, and copilots using advanced LLMs.
Agentic AI
Agentic AI Solutions
Create autonomous AI agents that can perform tasks, make decisions, and interact intelligently.
Prompting
Prompt Engineering
Design and optimize prompts to improve AI outputs, accuracy, and performance.
Automation
Robotic Process Automation (RPA)
Automate repetitive tasks to improve efficiency, reduce errors, and lower operational costs.
Software Dev
Custom Software Development
Build tailored applications that integrate data, AI, and business workflows seamlessly.
Cloud
Cloud Computing Services
Deploy scalable, secure, and high-performance cloud environments for data and AI workloads.
Our Data & AI Implementation Process
01
Data Assessment
We analyze your existing data sources, quality, and gaps to identify opportunities for better insights.
02
Solution Design
We design a customized data and AI architecture tailored to your business objectives and infrastructure.
03
Implementation & Integration
We build and deploy AI models, pipelines, and dashboards that integrate seamlessly with your existing systems.
04
Optimization & Support
We continuously monitor, optimize, and scale your data and AI solutions to maximize long-term business impact.
Industries We Serve
Our data and AI solutions are designed to meet the unique demands of diverse industries. We help organizations unify data, deploy intelligent analytics, and scale automation with industry-specific platforms and delivery models.
Apply predictive quality, supply chain analytics, and connected-vehicle data platforms to accelerate EV programs and reduce warranty risk.
Support mission-critical programs with governed data pipelines, digital thread analytics, and compliance-ready reporting across complex assemblies.
Unify project, BIM, and field data to improve cost control, schedule visibility, and asset lifecycle decisions across large builds.
Turn shop-floor, ERP, and IoT signals into actionable dashboards, predictive maintenance models, and continuous improvement insights.
Modernize grid, asset, and customer data with scalable analytics that improve reliability forecasting, outage response, and regulatory reporting.
Connect product, service, and telemetry data to optimize fleet performance, aftermarket revenue, and configuration-driven manufacturing.
Accelerate NPI cycles with test-data analytics, yield optimization, and traceability across components, suppliers, and production lines.
Integrate SCADA, production, and safety data for real-time operational intelligence, emissions tracking, and risk-aware decision support.
Build validated data platforms for quality systems, post-market surveillance, and regulated reporting without sacrificing speed to market.
Use demand sensing, personalization analytics, and omnichannel data to improve forecasting, inventory balance, and customer experience.
What Our Clients Say
“We rolled out a unified analytics platform on a practical timeline. Production planners finally see the same numbers as finance, and weekly review meetings are shorter.”
Manufacturing operations leader
United States
“The machine learning models DevWorks built for us reduced unplanned downtime on critical lines. The team delivered clear documentation and stayed involved through the first production release.”
Engineering leader
United States
“They helped us move off spreadsheets without breaking existing workflows. Our engineers adopted the dashboards faster than any prior IT project we have run.”
Data and operations leader
United States
“Predictive maintenance alerts now reach supervisors before equipment fails, so the plant can act on issues before they become stoppages.”
Plant operations leader
United States
“The data pipeline work was thorough and practical. We get near real time visibility into inventory and supplier performance without adding manual reporting steps.”
IT leader
United States
Latest Data insights
Stay ahead with practical data, analytics, and AI guidance, empowering smarter decisions and delivering real-world impact.
AI-Driven Data Analytics: A Practical Guide
Learn how AI-powered analytics turns raw production data into decisions that improve quality, uptime, and margins.
Manufacturing Data Silos: How They Hurt You—and How to Break Them Down
What a data silo looks like on the plant floor, why it slows decisions, and a practical path to unify ERP, quality, and operations data without a multi-year boil-the-ocean program.
Predictive Maintenance ML That Operations Will Use
How manufacturers turn predictive maintenance models into alerts supervisors trust—data readiness, false-positive control, and integration into work orders.
Frequently Asked Questions
Data and AI solutions for manufacturing are integrated systems that connect production, quality, and ERP data, then apply analytics, machine learning, and automation on top of it to generate predictive insights and automated decisions.
Cost depends on scope, a single service like data analytics typically costs less than a full data and AI solution covering machine learning, automation, and cloud infrastructure together. Projects are scoped modularly so you can start small and expand.
Most manufacturers have enough data to start, but it is often scattered across MES, ERP, and quality systems. A data assessment identifies these gaps before any AI model is built.
Data analytics explains what already happened through dashboards and reporting. AI solutions use machine learning to predict what happens next and automation to act on those predictions.
Yes. Data and AI solutions are typically built to integrate with existing MES, ERP, and quality systems rather than replace them, adding a unified analytics and automation layer on top.
Yes, every engagement starts with your outcomes, data landscape, and constraints so we can shape platforms, models, and delivery models to match.
We work across the modern data stack, cloud warehouses, ETL/ELT, Spark and Databricks ecosystems, BI tools like Power BI and Tableau, and ML platforms such as DataRobot.
Common outcomes include reduced unplanned downtime from predictive maintenance, faster and more accurate demand forecasting, and less manual reporting once dashboards replace spreadsheets.