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This Subcontract opportunity from Montana was posted on July 30, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

System Implementation & Data Migration Services

Closed
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541512
New
SLED
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University of Arkansas Fayetteville (UAF)

POSTED

about 3 hours ago

DEADLINE

N/A
NAICS: 541512
New
SLED
Integrated Roadway Management Platform
Solicitation # 2128-RFP
The City of Rock Hill, South Carolina, is soliciting proposals for a single, fully integrated roadway management platform to oversee approximately 205 centerline miles of roadway. The required system must integrate roadway imagery, pavement and asset assessment, maintenance and capital planning, and work order management into a common map and database. Key technical requirements include AI-powered distress condition scoring, automated detection of assets such as manholes and traffic signs, and the ability to collect data using ordinary vehicles via smartphones. The platform must also support remaining-service-life analysis, budget forecasting, and the direct generation of work orders from AI-detected defects or citizen reports. The contract will be awarded to the highest-scoring proposal based on a weighted evaluation system, with the heaviest weight placed on AI technology and pavement evaluation capabilities (30%), followed by company experience (20%), software functionality (20%), price (20%), and implementation and support (10%). Proposals must be submitted electronically via the e-Procurement Portal by December 10, 2026. The resulting agreement will feature monthly invoicing with a 30-day payment term, and the City reserves the right to hold up to 10% retainage until all deliverables are satisfactory. Vendors must maintain liability and workers' compensation insurance and certify compliance with various employment laws, including the South Carolina Code of Laws regarding unauthorized aliens.
Project Management

POSTED

about 13 hours ago

DEADLINE

in 29 days
NAICS: 541512
New
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FY27_EOPSS_ITS87_Artificial Intelligence Engineer
Solicitation # BD-27-1044-EPS17-OTIS-135351
The Executive Office of Public Safety and Security (EOPSS) is seeking a Cloud AI Engineer to support the enhancement and management of a system-wide criminal justice data platform. This role is focused on accelerating AI adoption and implementing enterprise-scale solutions to integrate data from courts, police departments, and custodial institutions. The engineer will be responsible for architecting retrieval-augmented generation (RAG) solutions using vector databases and embedding models, integrating Model Context Protocol (MCP) servers, and managing AWS infrastructure using Terraform and CloudFormation. Key security requirements include implementing AWS IAM and Snowflake Role-Based Access Control (RBAC). The engagement is a full-time position of 37.5 hours per week, running through June 30, 2027, with a maximum all-inclusive hourly vendor bill rate of $125. Candidates must possess at least 10 years of experience in AWS cloud and data solutions. While the primary location is Milford, Massachusetts, there is a preference for candidates residing in Massachusetts or those able to travel to Milford, Boston, or Middleborough. Selected candidates must complete CORI and DCJIS fingerprinting requirements in Chelsea, Massachusetts. This procurement is eligible for the Small Business Purchasing Program, and vendors may submit a maximum of eight resumes via the COMMBUYS portal.
Executive Office of Public Safety & Security

POSTED

about 13 hours ago

DEADLINE

in 14 days

AI Contract Overview

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The contract requires the implementation of a comprehensive bookstore system tailored to support academic operations with a focus on seamless integration and minimal disruption to institutional cycles. Key responsibilities include migrating existing data accurately and securely, configuring the system to meet institutional needs, conducting thorough staff training to ensure operational readiness, providing on-site support during the go-live phase, and offering post-launch optimization to refine performance and address emerging issues. The work must be executed with precision to maintain continuity in academic functions and avoid interference with enrollment, scheduling, or publishing timelines. The solicitation is classified as a subcontract under NAICS code 541512, reflecting its focus on custom computer programming and systems integration services. The opportunity was posted on July 30, 2026, with responses due by August 20, 2026, and is being managed by the state of Montana under its organizational structure. While specific location details and point of contact information are not provided, the work is expected to be performed in alignment with Montana’s institutional requirements, and all proposals must be submitted through the official online portal referenced in the posting.

General Info

Implement bookstore system with data migration, training, on-site support, and optimization for Montana academic operations.

Agency

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of MSU-RFP-27-05.

The full solicitation package (4 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Great Falls College Bookstore Point of Sale System

AI Contract Breakdown

Uniform Contract Format

No documents to break down

The breakdown needs solicitation documents. None were found from this contract's source.

Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyMontana
ContactsNo contacts available
OfficeN/A
Organization / AgencyMontana
Office AddressN/A
ContactsNo contact information available

Full Description

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Implement the bookstore system including data migration, configuration, staff training, go-live support, and post-launch optimization with minimal disruption to academic cycles.

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