Problems We Solve
Manufacturers lose millions each year to inefficiency, defects, and unplanned outages. We target the biggest cost drivers and design systems that eliminate them.
Unplanned Downtime
A single machine failure can stop entire lines and disrupt delivery schedules. We build predictive maintenance models that analyze sensor and IoT data to flag failures before they occur, cutting downtime and repair costs.
Defect escapes
Quality issues missed by manual checks slip into shipments, leading to rework, recalls, and warranty claims. Our computer vision systems inspect every unit in real time, catching defects early and reducing scrap rates.
Excess Resource Use
Inefficient processes waste energy and raw materials, eating into margins and undermining sustainability goals. We develop AI models that optimize energy usage and material flow, lowering costs and supporting compliance targets.
Slow, error-prone workflows
Operators lose time with repetitive tasks and outdated systems, leading to errors and lost efficiency. AI assistants guide operators with SOPs, anomaly alerts, and real-time instructions, improving safety and productivity.
Our Process
What you can achieve with us
We don’t deliver experiments — we ship production AI tied to measurable performance improvements. Our solutions are deployed directly into your existing IoT infrastructure and control systems, turning sensor data into actionable decisions that optimize overall equipment effectiveness (OEE), increase safety, and ensure consistent product quality across every shift.
Automated quality inspection
Computer vision that spots defects as they happen. Fewer recalls, lower scrap rates, stronger customer trust. Our custom-trained vision models detect microscopic flaws, such as surface scratches, structural anomalies, or misalignments, at line speed, far exceeding the speed and consistency of human inspectors. This results in significant reduction in wasted material and guarantees outgoing quality.
Predictive maintenance
Models that detect early failure signals in IoT and sensor data. Less downtime, lower repair costs, extended asset life. We analyze vibration, temperature, acoustic, and pressure data from critical machinery, predicting the exact optimal moment for maintenance intervention. This moves your operations from costly reactive repairs to cost-effective, planned maintenance windows, maximizing uptime and maximizing asset lifespan.
Production optimization
Analytics that balance throughput and smooth bottlenecks. Higher OEE and increased capacity without new equipment. Our proprietary optimization algorithms dynamically adjust scheduling, resource allocation, and line balancing in real-time, adapting to unexpected delays or material shortages. This ensures continuous, maximized production flow across the entire factory floor.
Operator assistance
AI agents that deliver SOPs, anomaly alerts, and real-time guidance. Safer shop floors, faster training, fewer human errors. These intelligent assistants monitor video streams and machine logs to proactively flag non-compliant procedures or safety risks. By providing immediate, contextual information, they accelerate the training of new personnel and stabilize performance across all operational levels
Why manufacturers hire us
We know how to build AI that works in regulated, mission-critical environments. Every engagement is structured to deliver ROI, integrate with factory systems, and leave you with full ownership.
- Proven ROI – Projects aligned to KPIs like downtime reduction, throughput, and scrap.
- Integration-ready – Connects with MES, SCADA, ERP, and IoT platforms.
- Flexible deployment – Cloud, edge, or on-prem depending on site needs.
- Full ownership – Code, models, infra, and docs handed over at launch.
building real-time systems
Modern manufacturing relies on optimizing asset uptime, eliminating quality defects, and maintaining precise control over complex supply chains. Our core capabilities are engineered for the shop floor, utilizing industrial-grade visual intelligence and predictive modeling to ensure every process runs at peak efficiency.
Computer Vision & AR Solutions
Visual intelligence is the foundation of quality control and process monitoring. We implement industrial-grade computer vision systems for zero-defect inspection, measuring component tolerances and spotting microscopic surface flaws at high line speeds. Furthermore, we deploy augmented reality (AR) solutions to provide technicians with step-by-step assembly guidance and real-time maintenance diagnostics directly overlaid on the machinery.
Machine Learning & Predictive Analytics
The engine for asset health and operational forecasting. We design and implement scalable ML pipelines that ingest high-frequency sensor data from industrial machinery (vibration, acoustics, temperature) to power Predictive Maintenance (PdM) models. This enables the precise forecasting of equipment failure, shifting maintenance from costly reactive repairs to cost-effective, planned interventions that minimize downtime.
AI Agents Development
Deploy truly autonomous software agents to manage complex, dynamic production planning and scheduling. Agents can monitor real-time material flow and machine availability, autonomously adjusting the production schedule to resolve bottlenecks or accommodate unexpected changes in demand. They ensure operational continuity and optimal resource utilization on the factory floor.
AI Integration Services
The value of manufacturing AI is often locked behind complex Programmable Logic Controllers (PLCs) and legacy Manufacturing Execution Systems (MES). We specialize in architecting secure, robust API layers and data pipelines that connect AI models to your industrial IoT, MES, and ERP systems, ensuring real-time data exchange for accurate decision-making.
Custom AI Model Development
Standard industry algorithms often fail when faced with highly specific materials, unique component geometries, or specialized manufacturing processes. We build proprietary deep learning models optimized for unique challenges, such as highly accurate material classification, complex robotic path planning, and advanced anomaly detection that generic tools cannot address.
