Our Services
What We Do
From connecting your machines to building predictive models, we deliver end-to-end AI solutions for manufacturing operations.
Data Infrastructure & Integration
Your machines generate data. We make it usable. We connect disparate systems—PLCs, machines, ERP, spreadsheets—into a unified data foundation that AI can actually work with.
What's included
- Machine-to-database connectivity (real-time data capture from production equipment)
- Data cleaning and standardization (transform messy sensor data into reliable inputs)
- System integration (connect machines, ERP, MES, and legacy systems)
- Scalable infrastructure (cloud or on-premise, built to grow with your operation)
AI-Powered Reporting & Dashboards
Stop waiting days for production reports. We build real-time dashboards and automated reporting systems that show you what's happening on your floor right now—and what it means for your business.
What's included
- Real-time production dashboards (OEE, throughput, quality metrics updated live)
- Automated report generation (daily, shift, or custom reports without manual compilation)
- Intelligent alerts (get notified when metrics drift outside acceptable ranges)
- Custom visualizations (see your data the way that makes sense for your operation)
Process Automation
Eliminate repetitive manual work. We automate scheduling, quality checks, inventory tracking, and other time-consuming processes—freeing your team to focus on problems that need human judgment.
What's included
- Production scheduling automation (optimize schedules based on capacity, demand, and constraints)
- Quality control automation (automated defect detection and classification)
- Inventory and material tracking (real-time visibility without manual data entry)
- Workflow orchestration (automate multi-step processes with intelligent decision points)
Predictive & Decision Support Systems
Move from reactive to proactive. We build AI models that predict equipment failures, forecast demand, optimize maintenance schedules, and help you make better decisions before problems become expensive.
What's included
- Predictive maintenance models (identify equipment failures before they happen)
- Demand forecasting (predict production needs based on historical patterns and market signals)
- Production optimization (AI recommendations for scheduling, capacity planning, and resource allocation)
- Anomaly detection (automatically flag unusual patterns in production data)
How It Works
Our Engagement Process
Discovery Call
We start with a conversation to understand your challenges and goals.
Assessment & Proposal
We analyze your needs and present a tailored solution with clear deliverables.
Build & Iterate
We develop your solution with regular check-ins and feedback loops.
Deploy & Support
We launch, train your team, and provide ongoing support as needed.