
Total ETO is a Totally Better ERP / MRP for Custom Machine Builders, providing better efficiency, accuracy, and profitability. Our system was designed by engineers to match the unique workflow of Engineer To Order manufacturers, including Integrators, Panel Shops & OEMs.
Our solution will:
-Increase efficiency in engineering by integrating with your CAD.
-Allow designers to cost out the BOM before purchases are made.
-Track changes to the BOM at any stage of the project and ensure the information is shared across departments.
-Save time & money in procurement with your newly Dynamic BOMs.
-Capture change order information, including labor, material, and sales price changes so they aren't omitted or forgotten.
-Improve accuracy through out your organization, including sales estimates.
-Route parts between various tasks, tracking both internal and external processes.
-Help ensure parts are inspected and know who completed the inspection. You'll be able to record and follow up on quality issues on the shop floor, from engineering, or for purchased parts with embedded Non-Conformance Reports.
Learn more
CloudFiler provides filing and searching in both New and Classic Outlook on all phones & tablets, all popular browsers, Macs and ARM based devices.
Created Microsoft's new web Add-in technology by the architect of the Oasys email management system previously owned by Arup Group Ltd and the Excitech Mail system owned by Symetri and latterly Pentagon.
File to: the cloud, Windows folders, SharePoint, OneDrive, Egnyte, Autodesk Forma, Bentley ProjectWise, etc.
Favoured by the biggest businesses globally.
Learn more
Oasis Network
The Oasis Network serves as a blockchain platform focused on privacy for open finance and a responsible data economy. By integrating privacy features and scalability into decentralized finance (DeFi), it aims to transition DeFi from a niche market to a broader audience. This platform facilitates the use of private smart contracts, offers significant scalability, and allows for the tokenization of data. These capabilities pave the way for innovative applications such as private lending, undercollateralized loans, and discreet automated market makers. The Oasis Network’s distinctive blend of confidential computing and blockchain technology introduces a new concept known as Tokenized Data. Through Tokenized Data, users have the opportunity to receive rewards by staking their data with applications that seek to analyze it, while also retaining control over how their most sensitive information is utilized by various services. The Oasis ParaTime scaling architecture enhances performance by ensuring rapid transaction speeds and accommodating high workloads through a separation of execution from consensus. Additionally, ROSE functions as the native utility and settlement token for the Oasis Network, which has a capped supply. This unique model not only incentivizes users but also fosters a more secure and efficient environment for managing data.
Learn more
Oasis Loss Modeling Framework
The Oasis Loss Modelling Framework (Oasis LMF) serves as an open-source platform for catastrophe modeling that aims to improve risk assessment through its commitment to transparency, performance, and innovation. Founded as a not-for-profit entity, Oasis LMF provides a wide array of tools for the creation, deployment, and operation of catastrophe models, allowing for flexibility in modeling methods. The platform features a user-friendly web interface and an API that ensures easy integration with various systems, enhancing interoperability and user experience. Key components like Oasis ktools facilitate the large-scale execution of catastrophe models, while the Oasis Model Development Toolkit aids in the creation and testing of new models. With a strong focus on collaboration within the community, Oasis LMF boasts an ecosystem that includes over 18 suppliers and more than 90 different models, promoting a rich and varied modeling landscape. This diverse array of resources underscores the platform's mission to support users in navigating the complexities of risk assessment in an ever-evolving environment.
Learn more