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AI That Works Where Production Is Complex

We build intelligent systems for design, scheduling, and quality — where precision, speed, and reliability define success.

Future Engineering

Powering Today's Manufacturing Efficiency

In manufacturing, efficiency is only real if it works on the shop floor. Gravitate AI helps you turn complex engineering and production workflows into measurable gains — automating CAD revisions, optimizing schedules, and enhancing quality assurance.

 

Our systems integrate directly with your existing tools and infrastructure, reducing rework, improving throughput, and empowering teams to focus on what they do best.

Built for Industrial Reality

Industry-First Design

Built with deep understanding of industrial machines—from CAD to control systems to supply chains. Every solution reflects knowledge of manufacturing workflows, constraints, and operational realities.

Engineered Efficiency

Automate repetitive design and data tasks to reduce rework, shorten cycles, and boost operational throughput. Focus on measurable time savings and quality improvements.

Seamless Integration

Integrate AI directly with CAD, PLM, ERP, and MES systems — from decades-old design software to modern cloud infrastructure. Intelligence that fits your existing operations, not the other way around.

Trusted Impact

Every implementation measured by outcomes that matter — fewer repetitive design hours, faster iteration cycles, higher throughput, lower defect rates, and smarter use of resources across engineering, production, and supply chain.

CAD Automation: 80% Reduction in Rework Time

Business Challenge

Single part change triggered hundreds of downstream updates across CAD files and bill of materials. Engineers spending 160 hours on repetitive revision work that should be automatable.

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The Problem

30-year-old SolidWorks system central to operations. Proprietary design knowledge embedded in workflows. Previous AI attempts failed due to integration complexity and lack of CAD domain understanding.

Our Solution

  • Deep workflow analysis to understand why current process existed

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  • Custom integration maintaining existing tools and engineering knowledge

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  • AI assistance designed for actual engineering workflows, not idealized processes

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  • Solution respects 30 years of operational learning embedded in systems

Who We Serve

Manufacturing Engineering Teams

Engineering managers and design engineers automating CAD and documentation workflows to accelerate iteration and reduce repetitive work.

Supply Chain
& Logistics

Procurement and supply-chain teams applying predictive analytics for smarter forecasting, inventory balance, and supplier performance.

Production
Operations

Plant managers and operations leaders using AI to optimize scheduling, quality control, and throughput on the factory floor.

Manufacturing Technology
Leaders

CTOs, IT directors, and Industry 4.0 innovators integrating AI into legacy and modern systems to modernize production without disruption.

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Where We Deliver Impact

Engineering Efficiency

Automate repetitive design, validation, and documentation tasks across CAD and PLM environments. Our AI understands design intent, part relationships, and BOM structures — reducing engineering iteration time while preserving quality and compliance.

Production Scheduling

Intelligent systems that balance capacity, materials, and delivery timelines. We optimize schedules dynamically to adapt to real-time conditions on the factory floor.

Quality Assurance

 AI-driven inspection and defect detection that standardize quality while cutting inspection time and reducing rework.

Supply Chain Intelligence

Predictive analytics for inventory, demand, and supplier performance. We enhance visibility, improve forecasting accuracy, and strengthen decision-making across procurement and logistics.

Common Questions About Our Manufacturing Solutions

FAQ

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Ready to Transform
Manufacturing Operations?

We work with financial services organizations that need AI systems meeting both operational and regulatory requirements from established institutions to innovative startups.

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