Entangl

About Entangl

Entangl develops an automated engineering design platform that uses AI to detect design errors across various engineering projects, including data centers and aerospace systems. The platform autonomously proposes and implements solutions, reducing the risk of costly mistakes and enhancing project safety.

```xml <problem> Engineering projects, such as those in data centers and aerospace, are prone to design errors that can lead to costly mistakes and safety risks. Verifying procedures against as-builts, schematics, and blueprints is challenging due to time constraints, training gaps, and difficulties in accessing relevant data. Human error in method of procedures (MOPs) contributes significantly to downtime and financial losses. </problem> <solution> Entangl provides an AI-powered platform that automates the detection and resolution of design errors across various engineering projects. The platform autonomously scans projects, identifies inconsistencies, and proposes actionable solutions tailored to the specific engineering context. By connecting to various knowledge bases, Entangl ensures real-time error detection, preventing costly mistakes and enhancing project safety. Furthermore, the platform can autonomously implement solutions, reducing the workload on engineers and ensuring quick resolution of design errors. </solution> <features> - Automated error detection across engineering designs using AI - Integration with knowledge bases such as OnShape, OneDrive, G-Drive, AutoDesk, Confluence, Slack, Sharepoint, GitHub, GitLab, Obsidian, 3DX, Siemens NX, Ansys, Creo, Altium, and MatLab - Real-time identification of inconsistencies and potential issues - Autonomous proposal and implementation of solutions - Circuit continuity checks to ensure intact power paths - Sequencing issue detection to ensure steps are executed in the correct order - Automated dependency analysis to detect operations that could cause cascading failures - Safety issue verification to ensure correct PPE usage </features> <target_audience> The primary customers are engineers and project managers in industries such as aerospace, data centers, energy, and telecommunications, who seek to automate error detection and improve the safety and reliability of their engineering projects. </target_audience> <revenue_model> Entangl generates revenue through subscriptions and enterprise contracts, offering tiered pricing based on usage and features. </revenue_model> ```

What does Entangl do?

Entangl develops an automated engineering design platform that uses AI to detect design errors across various engineering projects, including data centers and aerospace systems. The platform autonomously proposes and implements solutions, reducing the risk of costly mistakes and enhancing project safety.

Where is Entangl located?

Entangl is based in San Francisco, United States.

When was Entangl founded?

Entangl was founded in 2024.

Who founded Entangl?

Entangl was founded by Antanas Žilinskas.

  • Antanas Žilinskas - Co-Founder/CTO
Location
San Francisco, United States
Founded
2024
Employees
3 employees
Major Investors
Y Combinator
Looking for specific startups?
Try our free semantic startup search

Entangl

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Entangl develops an automated engineering design platform that uses AI to detect design errors across various engineering projects, including data centers and aerospace systems. The platform autonomously proposes and implements solutions, reducing the risk of costly mistakes and enhancing project safety.

entangl.ai1K+
cb
Crunchbase
Founded 2024San Francisco, United States

Funding

Major Investors

Y Combinator

Team (<5)

Antanas Žilinskas

Co-Founder/CTO

Company Description

Problem

Engineering projects, such as those in data centers and aerospace, are prone to design errors that can lead to costly mistakes and safety risks. Verifying procedures against as-builts, schematics, and blueprints is challenging due to time constraints, training gaps, and difficulties in accessing relevant data. Human error in method of procedures (MOPs) contributes significantly to downtime and financial losses.

Solution

Entangl provides an AI-powered platform that automates the detection and resolution of design errors across various engineering projects. The platform autonomously scans projects, identifies inconsistencies, and proposes actionable solutions tailored to the specific engineering context. By connecting to various knowledge bases, Entangl ensures real-time error detection, preventing costly mistakes and enhancing project safety. Furthermore, the platform can autonomously implement solutions, reducing the workload on engineers and ensuring quick resolution of design errors.

Features

Automated error detection across engineering designs using AI

Integration with knowledge bases such as OnShape, OneDrive, G-Drive, AutoDesk, Confluence, Slack, Sharepoint, GitHub, GitLab, Obsidian, 3DX, Siemens NX, Ansys, Creo, Altium, and MatLab

Real-time identification of inconsistencies and potential issues

Autonomous proposal and implementation of solutions

Circuit continuity checks to ensure intact power paths

Sequencing issue detection to ensure steps are executed in the correct order

Automated dependency analysis to detect operations that could cause cascading failures

Safety issue verification to ensure correct PPE usage

Target Audience

The primary customers are engineers and project managers in industries such as aerospace, data centers, energy, and telecommunications, who seek to automate error detection and improve the safety and reliability of their engineering projects.

Revenue Model

Entangl generates revenue through subscriptions and enterprise contracts, offering tiered pricing based on usage and features.