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Entangl - Automated Engineering Design with automatic error detection and correction.

Entangl

Entangl - Automated Engineering Design with automatic error detection and correction.

Entangl

Automating error detection and correction in aerospace, automotive, and renewable energy engineering

🧨 The Problem: Design errors get caught too late, resulting in delays or dangerous outcomes.

Organizations carry out design reviews every few weeks/months to ensure they catch errors early. As aerospace engineers, we've experienced firsthand the painful reality of cross-team design reviews. Teams grind for weeks to prepare for these meetings, yet costly errors still slip through to manufacturing or even operation (think doors blowing off planes)The issue? Engineers work in silos, unaware of how their decisions impact the broader system. For example, changing the O-ring material might unexpectedly impact the seal integrity at low temperatures when building a space shuttle booster rocket.

🎉 The Solution: Autonomously detecting errors across an organization.


Humans are terrible at dealing with large amounts of data and understanding how everything interacts with one another. Machines, on the other hand, are great! They can crawl across all the knowledge bases (GitHub, Google Drive, OneDrive, etc.) and detect changes as they are made.

Our platform identifies design problems autonomously across engineering projects. It then suggests targeted solutions to the right engineers and delivers daily insights and reviews, preventing expensive problems early on (poor engineering cost Boeing $100B+). This saves each engineer two months of work every year and makes engineering safer.

💲Opportunity: Safer and quicker engineering


Engineers don’t need to spend two months a year grinding for design reviews. Your engineering projects don’t need to be delayed by an average of seven months. Prevent errors early to move faster and save your company’s runway.
move faster and save your company’s runway.

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https://store-images.s-microsoft.com/image/apps.57763.da698fbd-239d-410e-8b14-169658214ad4.00485489-07dc-4751-8a31-fd6d4924fa06.f45d5d54-6d32-46dc-87b9-a59642683078
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