NetBrain Implementation & Maintenance
Past New Requirement Updated
- Agency
-
Food and Drug Administration
Department of Health and Human Services
- Solicitation expected
- Estimated value
- $700,000 to $1,500,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 511210 Software Publishers
- Points of contact
-
- Christopher Scott christopher.scott@fda.hhs.gov
- tbd@fda.gov
Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The Food and Drug Administration (FDA) is forecasting a NetBrain Implementation & Maintenance contract for an IT acquisition funded by SP & COP. The procurement targets an adaptive, no-code automation platform designed to enhance network management, with an estimated solicitation release date of July 1, 2026, and a projected award date of September 1, 2026. The contract aims to implement a solution that performs network troubleshooting, change management, report creation, and continuous network assessment to reduce mean time to repair (MTTR) and mitigate operational risks.
While specific award values are not detailed, the contract falls under the Software Publishers NAICS code 511210 and will be executed through the Food and Drug Administration. The primary point of contact is Christopher Scott, who can be reached at christopher.scott@fda.hhs.gov, representing the federal agency's procurement team. The NetBrain platform is expected to bridge monitoring capabilities between SolarWinds and Cisco Catalyst Center utilities, providing robust and current network topology mapping that can adapt to rapidly changing network environments.
Forecast text
SP & COP Funded IT Acquisition: NetBrain is an adaptive, no-code automation platform that performs troubleshooting, change management, report creation, and continuous network assessment to reduce mean time to repair (MTTR), decrease manual errors, and mitigate risks. NetBrain fills the monitoring gap between SolarWinds and Cisco Catalyst Center utilities. It provides robust, current topology mapping that can accurately depict the fast-changing network.
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