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DLIDLib ID/License Parser Coming To Mobile Devices

We're pleased to announce that testing is nearly complete for a Compact Framework version of our DLIDLib driver license / ID card parsing library. This will enable applications on mobile & handheld device applications to take advantage of our powerful parsing capabilities without requiring client/server communication to a back-end service.

Estimated availability is early August.

AAMVALib Parser Tested In Maryland

We're happy to add Maryland to our confirmed state compatibility checklist. Our AAMVALib driver's license parser v0.2 has been tested successfully against Maryland-issued licenses with no problems. Our State Compatibility page has been updated accordingly.

Online Documentation Now Available

As of 15 January 2009, online documentation for our open-source and commercial libraries and assemblies is available on their project pages. The compiled .chm help files are still included in the downloads, of course. The online availability should make the data more visible to search engines when searching for information on those libraries, and should serve as a convenience to our users.

Aug

2008

Ninja Scheduler

Ninja Scheduler is a scheduling tool, primarily targeted at creating employee schedules. It's core engine is flexible enough to be used for many types of scheduling scenarios, and custom implementations can be developed. Initially, it will be released as an Employee scheduling application.

Features

Optimal scheduling, even of complex employee availability
- Makes it easy to deal with employee requests for days or times off, or additional availability.
Supports multiple locations, shifts, and roles (manager, cashier, floor sales, stock room, etc.)

Under Development

Several non-public projects.

Your project can be listed here, too - contract with us for your development needs!

Recently Released

Featured Success Story

Client sync via data warehouse

Forklift is an open-source (GPL v1.1) application to synchronize client data between multiple agency systems such as CTFACS, Energy, and others into a central Data Warehouse (developed by another company) to help centralize reporting, reduce client duplication, and reduce data re-entry.