Accelerating process and product innovation through AI analysis
AIMfg’s AI-Driven Manufacturing Informatics for Process/Product Innovation bridges the design-to-production gap, deploying proprietary AI architectures to extract niche engineering information from 2D drawings and 3D models, enabling other downstream functions like manufacturing planning, process optimisation, and product development.
AIMfg works with manufacturers to deploy best-fit capabilities that significantly reduce the time required for manual data interpretation while enhancing engineering decision-making, process innovation and operational efficiency.
What We Do
AIMfg uses AI to accelerate the transition from product design to execution.
Our proprietary AI architecture extracts and interprets complex data from both 2D and 3D sources to determine the most effective manufacturing techniques for a given product. The system recognises design data like GD&T (Geometric Dimensioning and Tolerancing) symbols, surface finishes and measures; and recovers design intent that is frequently lost when transferring models between different modeling platforms.
Our primary focus lies in using AI to raise overall engineering competency, improve process lead-times and reduce the time required for manual interpretation.
The Challenges
The manufacturing design and development process often runs into these roadblocks:
Underperforming General-Purpose AI,
with many LLMs unable to accurately recognise essential symbolic, textual and numerical information.
Complex process decision-making,
making it difficult for manufacturers to identify the most suitable production techniques and design pathways for specific parts.
Lack of internal expertise,
requiring engineers to spend significant time reviewing modelling data and determining appropriate manufacturing decisions.
These challenges slow innovation cycles, extend production timelines and increase waste in the manufacturing process.
The AIMfg Approach
AIMfg’s AI solutions streamline the conversion of designs into production-ready components, across two core areas:
2D Engineering Information Extraction and Understanding
Internally-developed AI architecture that can detect and read measures, GD&T symbols, surface finishes, and notes; and regularly outperform generic AI models
3D Feature Recognition
Algorithms that interpret 3D features to facilitate process association, generate tool paths, define manufacturing limits and difficulty levels and facilitate manufacturing planning
Manufacturers improve operational efficiency while raising engineering competency and accelerating innovation across teams.
Design Reimagined
By automating 2D and 3D design interpretation, AIMfg’s AI-Driven innovation solutions help manufacturers:
Let’s accelerate innovation from design to production
AIMfg helps manufacturers extract the information needed to move more quickly from design to production. No more delays in interpreting engineering drawings; no more false starts when determining the best way to manufacture a component.
Get in touch with AIMfg to learn how AI-driven manufacturing process innovation can improve production planning decisions for your manufacturing operation.
