Multi-Discipline Solutions to Provide Mission Critical Space and Outage Management
Lyndhurst, NJ – July 12, 2024 – Drawbase Software, a pioneer in Enterprise Infrastructure Management (EIM) solutions, announced today the signing of a multi-year, multi-phase agreement with a prominent U.S. Federal Agency. This landmark agreement underscores Drawbase Software’s commitment to delivering comprehensive Drawbase Solutions tailored to the unique needs of multi-jurisdiction federal operations.
The initiative focuses on leveraging Drawbase’s advanced capabilities to seamlessly integrate graphics and data from diverse legacy systems. This integration will enable critical infrastructure outage management across electrical, HVAC, fire safety, CCTV, and space management domains. Real-time simulation capabilities empower managers with the ability to visualize the impacts of planned and potential unplanned outages on vital staff and building systems, ensuring operational continuity and resilience.
“Failure to effectively manage these systems can have significant operational implications,” remarked Evan Kontos, President of Drawbase Software. “Drawbase Solutions empower agencies to proactively manage space, asset, and infrastructure, enhancing operational readiness and efficiency.”
Drawbase Software’s flagship product, Drawbase, offers integrated Enterprise Infrastructure Management capabilities encompassing space, occupancy, data center, and building infrastructure management. These solutions are highly configurable to meet specific user needs, facilitating seamless integration with existing and future enterprise asset management solutions (EAM/CMMS). This integration provides instant access to critical information, enabling strategic decision-making across the agency’s real estate, infrastructure, and asset portfolio.
“Our products’ ease of implementation and configuration ensures a powerful yet straightforward integration process,” added Evan Kontos. “This capability is crucial for maximizing operational efficiency and achieving optimal return on investment.”
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