Economic Modeling DBA Lightcast Sole Source Pre-Award
- New Mexico State University is issuing a sole-source pre-award notice for Leepfrog CourseLeaf software or services for fiscal year 2027 under procurement 2027-SSC-874, with responses due September 14, 2026 at 9:00 a.m. MDT. This is a single-source procurement issued in compliance with NMSA 13-1-128. Interested vendors who believe they can provide equal or greater service or goods may submit written documentation and detailed qualifications to the Director of Purchasing at purchasing@nmsu.edu...
New Mexico State University (NMSU) is issuing a sole source pre-award notice for Economic Modeling services from Lightcast DBA, solicitation 2027-SSC-872, with challenges due September 10, 2026 at 10:00 a.m. MDT. This is a non-competitive procurement; interested parties who believe they can provide equal or greater service must submit written challenges to the Director of Purchasing at purchasing@nmsu.edu within 15 calendar days of the August 11, 2026 posting. The procurement supports the state's workforce development and economic planning initiatives. Lightcast's platform delivers real-time occupational data, labor market intelligence, skills analysis, and market trend analysis. The sole source justification rests on Lightcast's unique technical capabilities and data methodologies that NMSU has determined differentiate the vendor from competitors and are necessary to meet the state's specific functional requirements. The notice was posted August 11, 2026. Detailed contract information, including pricing, contract term, renewal options, budget justification, and full scope description, is available within the procurement system portal and requires login credentials. NMSU reserves the right to be the sole judge of equivalence in evaluating any challenges. For inquiries, contact Cole Collins at colec@nmsu.edu or 575-914-3744.
Name | Description | Size | Type | Posted |
|---|---|---|---|---|
1429164-event.pdf | 248KB | 8/11/26 | ||
Economic Modeling DBA Lightcast Sole Source Pre-Award.pdf | 345KB | 8/11/26 |