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AI-Enabled Automation of 3D Pipe Design for Vehicle Chassis
Designing 3D pipe layouts for vehicle chassis has traditionally been a slow, expert-heavy process manual modelling, repeated reviews, and long iteration cycles. AI-enabled automation, built on encoded engineering rules, is reshaping this workflow enabling faster design exploration while maintaining engineering…
Athlete Contract Intelligence Engine
Why This System Exists Athlete contracts are structurally inconsistent, heavily negotiated documents where critical financial and incentive logic is embedded in legal language, annexures, and edge cases. Traditional contract tools fail because they assume standardized templates and static fields. This…
Exploring Low-Code and No-Code Tools for Faster Development
In 2025, low-code and no-code (LCNC) platforms are no longer fringe tools for citizen developers; they’ve become core components of many digital transformation strategies. As organisations face accelerating demand for custom applications and a persistent shortage of traditional software developers,…
01. How do you decide the right approach for our use case?
02. We already have systems in place so will this require a full rebuild?
03. How do you avoid building something impressive that doesn’t work at scale?
04. When does it make sense to use AI versus automation or rules-based logic?
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