- engitech@mail.com
- Mon - Sat: 8.00 am - 7.00 pm
We are creative, ambitious and ready for challenges! Hire Us
We are creative, ambitious and ready for challenges! Hire Us
Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.
411 University St, Seattle, USA
engitech@oceanthemes.net
+1 -800-456-478-23
From invoice automation to predictive maintenance – IcSoft delivers cutting-edge AI/ML solutions that make manufacturing smarter, faster, and leaner.
At IcSoft, we help manufactures and enterprises unblock the full value of their operational data. Our AI and Machine Learning solutions are purpose built to automate critical workflows. optimize resource use. and enable faster, data-backed decisions. Whether you’re streamlining invoice processing or optimizing your factory floor, we provide solutions that scale with your bussiness.
We help clients all around the world organise work orders and other resource needs.
Creating process routings e.g. machines, cycle times etc. manually in ERP systems for every new product can delay time-to-market and introduce inconsistencies. IcSoft’s ML-powered system analyzes historical routings based on product attributes (e.g., size, material, geometry) and suggests optimal routing paths for new items. The system recommends work centers, cycle times, and sequence of operations by identifying similar past products, ensuring standardized and efficient process design.
Benefits:
Balancing materials, machines, and tools for efficient production planning is complex. Our intelligent production planning solution uses optimization algorithms and ML models to consider all constraintsmaterial availability, machine capacities, tool readiness, and workforce shifts to recommend the best production schedules. The result is improved throughput and minimized idle time across operations.
Benefits:
Defects in production often stem from suboptimal process parameters. IcSoft’s AI solution analyzes historical production and quality control data to identify patterns and correlations between parameter settings (like temperature, pressure, and time) and defects. The system then recommends the best parameter combinations to minimize defects and maximize yield, enabling preventive quality management.
Benefits:
Unexpected equipment failures can halt production and escalate maintenance costs. Our predictive maintenance solution leverages historical maintenance logs and real-time IoT sensor data (like vibration, temperature, and RPM) to predict equipment failures before they happen. This proactive approach allows maintenance teams to schedule interventions ahead of time, extending asset life and avoiding costly downtimes. Benefits: