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This Government Contract opportunity from Missouri was posted on August 10, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Edge Computing Hardware Supply

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: 334111
New
Federal
Varjo XR-4 Secure Focal Edition Headset and a Varjo Base Pro perpetual license
Solicitation # N6134027Q1003
The Naval Air Warfare Center Training Systems Division (NAWCTSD) is seeking a brand-name specific procurement for one Varjo XR-4 Secure Focal Edition head-mounted display and one Varjo Base Pro perpetual offline software license. This equipment will support the Naval Innovative Science and Engineering (NISE) Cross-Cockpit Viewing Solutions for XR Trainers research and development effort, specifically focusing on evaluating chroma-key and rotoscoping techniques to reduce visual anomalies in flight trainers within the GT525 visual lab. The headset must be TAA-compliant, assembled in Finland, and feature 4K per eye mini-LED displays with 51 PPD aspheric lenses and a 120 by 105 degree field of view. This is a Firm Fixed Price purchase order set aside for SBA Certified Women-Owned Small Businesses (WOSB) under NAICS code 334111. The contract will be awarded on a lowest price basis to a responsible offeror who can guarantee delivery and invoicing by December 18, 2026. Delivery is F.O.B. Destination to Orlando, Florida, and must comply with MIL-STD-130 and MIL-STD-129 for item identification and shipment marking. All items must be new, as refurbished components are not acceptable. Invoicing and receiving reports are to be processed electronically through the Wide Area WorkFlow (WAWF) system.
Nawc Training Systems Division

POSTED

2 days ago

DEADLINE

in 1 day

AI Contract Overview

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The contract seeks the supply of ruggedized, weatherproof edge computing devices designed for deployment at roadside locations to enable local AI inference with low latency and high reliability. These devices must withstand harsh environmental conditions including extreme temperatures, moisture, dust, and vibration, ensuring continuous operation in unattended outdoor settings. The hardware must support real-time processing of video and sensor data without reliance on cloud connectivity, making local computational capability essential for mission-critical applications such as traffic monitoring, incident detection, and adaptive signal control. The procurement is structured as a subcontract under NAICS code 334111, indicating the focus on computer and peripheral equipment manufacturing, and is being managed by the Missouri Department of Transportation’s St. Louis District. Responses are due by August 17, 2026, with the solicitation posted on August 10, 2026. All devices must be capable of seamless integration with existing transportation infrastructure systems and meet strict performance benchmarks for uptime, data throughput, and thermal management. The place of performance is not specified but implies deployment across Missouri’s highway network. Suppliers are expected to demonstrate proven experience with durable edge systems in transportation environments and to provide technical support and maintenance protocols aligned with state operational standards.

General Info

Ruggedized edge computing devices for roadside AI inference, weatherproof, low latency, Missouri DOT procurement due August 17, 2026.

Documents

This scope was carved out of MODOT SL 0000000081SL.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

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GovComm Wrong Way Video Detection System

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyMissouri → MODOT ST LOUIS DISTRICT
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Supply of ruggedized, weatherproof edge computing devices capable of running AI inference locally at roadside locations with low latency and high reliability.

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