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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

FRILO is a comprehensive software suite tailored for civil and structural engineers, offering an extensive array of calculation, verification, and modeling tools essential for evaluating the load-bearing capacity, stability, and serviceability of various components and entire structures, including those made of concrete, steel, timber, masonry, and in the realms of foundation and geotechnical engineering, all in accordance with Eurocodes and relevant standards. Its modular design features specialized applications for specific tasks such as beams, columns, plates, and soil mechanics, facilitating component-oriented calculations through user-friendly inputs and reliable outputs, which streamline the handling of routine structural engineering tasks while providing thorough documentation. Furthermore, FRILO enhances its functionality with tools like BIM-Connector interfaces for seamless importation of analytical models from IFC/SAF formats, a Document Designer that simplifies the creation of reports compliant with industry standards, and it regularly updates to keep pace with evolving standards, workflows, and material libraries, thereby ensuring engineers have access to the latest resources. The software not only aids in maintaining efficiency but also fosters collaboration among project stakeholders through its integrated features.

Description

GEMSai is an advanced geotechnical engineering and foundation analysis software platform that combines finite element modeling with AI-powered workflows to improve foundation design, analysis, and engineering efficiency. The platform is designed to support geotechnical engineers working on shallow foundations, pile foundations, raft foundations, pile groups, and offshore foundation systems for land-based, bridge, and marine infrastructure projects. GEMSai offers specialized analysis modules that support discrete spring-bed models, elastic half-space models, multilayered soil conditions, pile settlement calculations, and pile capacity estimation workflows for complex engineering applications. The software integrates AI-assisted capabilities with modern finite element modeling techniques to help engineers perform faster, more intuitive, and more accurate geotechnical analysis across a wide range of foundation structures. GEMSai is available on Windows, macOS, and cloud-based environments, allowing engineering teams to deploy the platform flexibly based on project needs and operational preferences. The platform also supports offshore pile analysis, axially loaded pile calculations, laterally loaded pile analysis, and waterfront structure foundation modeling for specialized infrastructure applications. GEMSai is built to streamline the traditionally complex process of geotechnical engineering by improving usability, reducing analysis time, and delivering more reliable modeling results for engineering projects. The company offers free trials and subscription-based licensing options to make the software accessible for engineering firms and professionals seeking advanced geotechnical analysis tools.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

€244 per month
Free Trial
Free Version

Pricing Details

$500/year/user
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

ALLPLAN

Country

Germany

Website

www.frilo.eu/

Vendor Details

Company Name

GEMSai

Founded

2019

Country

India

Website

www.gemsoftware.ai/

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