Smart Manufacturing Assistant
AI-powered predictive  maintenance for
future ready factories
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Smart Manufacturing Assistant
Elevate your plant operations with
AI-driven insights
Manufacturing teams lose thousands of hours every year to unplanned downtime, hardto-find manual information, and inconsistent troubleshooting practices across plants and shifts. SMA eliminates these bottlenecks by digitising manuals, logs, videos, and repair data into a single AI-powered knowledge layer that delivers instant answers, prescribes the right actions, and guides technicians step-by-step.
Built on top of the most advanced large language models, SMA analyses breakdown patterns, predicts risks before they occur, and integrates seamlessly with your existing MES, ERP, and IoT systems. Your teams get a consistent, accurate, and an always available manufacturing expert at their fingertips.
How does SMA empower plant engineers and technicians with 
AI-driven support?
Chatbot with Image & Video Analysis
Get instant answers to equipment questions, repair steps, and troubleshooting guidance using natural language and visual search.
Language Translation
Ensure consistency across multilingual plants with automatic translation of manuals, logs, safety instructions, and chatbot responses.
Technical Glossary
Resolve technical ambiguity with a centralised glossary of plant-specific terminology, components, and processes.
User-Defined Notes
Store shift learnings, custom procedures, and technician observations as free-text notes that the assistant can use contextually.
Role-Based Access
Protect sensitive operational data with secure, permissioned access for technicians, engineers, and supervisors.
Upload Machine Manuals
Digitise external manuals, operational procedures, and legacy documentation to create a unified searchable knowledge repository.
User Feedback Loop
Improve accuracy continuously through technician feedback and relevance scoring on responses.
Machine-to-Machine Insights
Connect to equipment logs and sensors to detect patterns, highlight anomalies, and accelerate root-cause analysis.
Expected Outcomes
for Manufacturers
Cut downtime
analysis by up to
70 %
Reduce training
ramp-up time by
40-60 %
Save Hundreds
Of Hours
in knowledge retrieval
Improve
First-Time-Fix Rate
and troubleshooting accuracy
Enable consistent,
standardised decision-making across plants

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