ARLINGTON, Va., Dec. 3 /PRNewswire/ -- Creative Information Technology, Inc. (CITI), with Deque Systems, Inc. (Deque) of Fairfax, VA., the leader in Web information accessibility, will tackle Social Security Administration's (SSA) 1800 PDF's, repurposing them to a non-proprietary format, and making them Section 508 compliant at the same time.
Right now, achieving PDF accessibility is a very cumbersome, complicated, and costly process. Deque is going to simplify and automate this process, leaving behind 1800 accessible documents for SSA and their user community. This open standards approach unlocks doors for all kinds of future automation.
"It is my impression that SSA chose our solution since they are aware of the benefits of going with a non-proprietary technology. Our standards based approach works with Assistive Technology in use today and does not require learning a new method. It is equally important to not be dependent on services from a vendor for the life of the solution," noted Preety Kumar, Chief Technology Officer of Deque.
About Creative Information Technology, Inc. -- CITI is an Information Technology products and services company with expertise in project management, enabling technologies, and cost-effective IT solutions. Founded in August 1996, CITI is a minority-owned, 8(a) certified, company specializing in systems integration, e-government initiatives, enterprise services, process improvement, architecture development, and software engineering. CITI is a prime contractor on the CIO-SP2 GWAC with the National Institutes of Health (NIH), the $49.5 million IDIQ contract with the Department of State, the COMMITS contract with the Department of Commerce, and holds a GSA IT Schedule.
About Deque Inc
Deque Systems, Inc is a pioneer in the field of information accessibility. Deque's software solution, RAMP™ with it's unparalleled product depth, automates analysis and remediation of Section 508 rules and W3C Web Accessibility Initiative's Web Content Accessibility Guidelines, and provides efficiencies of over 95% as compared to a manual effort. In addition, RAMP™ is written in Java for platform independence and is also accessible to people with disabilities.
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