VA Awards $5M Supply Chain AI Tool Contract to Minburn Technology Group

Contract Overview

Contract Amount: $4,999,999 ($5.0M)

Contractor: Minburn Technology Group, LLC

Awarding Agency: Department of Veterans Affairs

Start Date: 2026-04-08

End Date: 2027-04-07

Contract Duration: 364 days

Daily Burn Rate: $13.7K/day

Competition Type: FULL AND OPEN COMPETITION AFTER EXCLUSION OF SOURCES

Number of Offers Received: 1

Pricing Type: FIRM FIXED PRICE

Sector: IT

Official Description: SUPPLY CHAIN AI RISK ANALYSIS TOOL

Place of Performance

Location: FREDERICK, FREDERICK County, MARYLAND, 21703

State: Maryland Government Spending

Plain-Language Summary

Department of Veterans Affairs obligated $5.0 million to MINBURN TECHNOLOGY GROUP, LLC for work described as: SUPPLY CHAIN AI RISK ANALYSIS TOOL Key points: 1. Contract value of $4,999,999 for a Supply Chain AI Risk Analysis Tool. 2. Competition was Full and Open after exclusion of sources, suggesting some prior limitations. 3. Risk of vendor lock-in or limited innovation due to specific source exclusion. 4. Sector is IT services, specifically 'Other Computer Related Services'.

Value Assessment

Rating: fair

The contract value of $5M for a specialized AI tool appears reasonable given the niche application. Benchmarking against similar AI development contracts is difficult without more specific scope details.

Cost Per Unit: N/A

Competition Analysis

Competition Level: limited

The 'Full and Open Competition after Exclusion of Sources' indicates a deviation from standard full and open competition. This method may have limited the pool of potential bidders, potentially impacting price discovery and overall value.

Taxpayer Impact: Taxpayer funds are being used for a specialized IT solution. The limited competition raises questions about whether the best possible price was achieved.

Public Impact

Enhances VA's supply chain resilience through AI-driven risk analysis. Potential for improved efficiency and cost savings in VA logistics. Focus on AI technology signals modernization efforts within the VA.

Waste & Efficiency Indicators

Waste Risk Score: 50 / 10

Warning Flags

Positive Signals

Sector Analysis

This contract falls within the IT services sector, specifically 'Other Computer Related Services'. Spending in this area is high across government, with AI and data analytics being key growth areas.

Small Business Impact

The contract does not indicate any specific set-asides for small businesses. The prime contractor, Minburn Technology Group, LLC, is listed as a small business, which is a positive signal.

Oversight & Accountability

The contract is a delivery order under a larger contract, implying some level of pre-qualification. Further oversight will be needed to ensure performance and adherence to the fixed-price terms.

Related Government Programs

Risk Flags

Tags

other-computer-related-services, department-of-veterans-affairs, md, delivery-order, 1m-plus

Frequently Asked Questions

What is this federal contract paying for?

Department of Veterans Affairs awarded $5.0 million to MINBURN TECHNOLOGY GROUP, LLC. SUPPLY CHAIN AI RISK ANALYSIS TOOL

Who is the contractor on this award?

The obligated recipient is MINBURN TECHNOLOGY GROUP, LLC.

Which agency awarded this contract?

Awarding agency: Department of Veterans Affairs (Department of Veterans Affairs).

What is the total obligated amount?

The obligated amount is $5.0 million.

What is the period of performance?

Start: 2026-04-08. End: 2027-04-07.

What specific AI capabilities are included in the risk analysis tool, and how do they compare to industry standards?

The provided data does not detail the specific AI capabilities. A comprehensive analysis would require reviewing the Statement of Work (SOW) to understand the algorithms, data sources, and analytical functions. Benchmarking against industry standards would involve comparing these features to commercially available or government-developed AI risk assessment platforms.

What was the justification for excluding other sources, and what impact did this have on the final price?

The justification for excluding other sources is not provided in the data. Typically, such exclusions are based on factors like unique capabilities, prior performance, or specific technical requirements. Without this justification, it's difficult to assess if the exclusion was warranted or if it led to a higher price than could have been achieved through broader competition.

How will the effectiveness of the AI tool in mitigating supply chain risks be measured and validated by the VA?

The effectiveness measurement strategy is not detailed. The VA should establish clear Key Performance Indicators (KPIs) tied to risk reduction, improved response times, or cost savings directly attributable to the tool. Regular performance reviews and independent validation will be crucial to ensure the AI tool delivers tangible benefits.

Industry Classification

NAICS: Professional, Scientific, and Technical ServicesComputer Systems Design and Related ServicesOther Computer Related Services

Product/Service Code: IT AND TELECOM - INFORMATION TECHNOLOGY AND TELECOMMUNICATIONSIT AND TELECOM - APLLICATIONS

Competition & Pricing

Extent Competed: FULL AND OPEN COMPETITION AFTER EXCLUSION OF SOURCES

Solicitation Procedures: SUBJECT TO MULTIPLE AWARD FAIR OPPORTUNITY

Offers Received: 1

Pricing Type: FIRM FIXED PRICE (J)

Evaluated Preference: NONE

Contractor Details

Address: 9716 ARNON CHAPEL RD, GREAT FALLS, VA, 22066

Business Categories: Category Business, Corporate Entity Not Tax Exempt, Limited Liability Corporation, Service Disabled Veteran Owned Business, Small Business, Special Designations, U.S.-Owned Business, Veteran Owned Business

Financial Breakdown

Contract Ceiling: $4,999,999

Exercised Options: $4,999,999

Current Obligation: $4,999,999

Contract Characteristics

Commercial Item: COMMERCIAL PRODUCTS/SERVICES

Parent Contract

Parent Award PIID: NNG15SD34B

IDV Type: GWAC

Timeline

Start Date: 2026-04-08

Current End Date: 2027-04-07

Potential End Date: 2027-04-07 00:00:00

Last Modified: 2026-04-07

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