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This Solicitation opportunity from Washington was posted on January 25, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

RFQ for Purchase of Advanced Drones with AI, Obstruction Avoidance, and Thermal Imaging

Closed
RFQ24-010State & Local

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NAICS: 541715
New
Federal
Atomically Precise Molecules (APM)
Solicitation # DARPA-PS-26-141
The Atomically Precise Molecules (APM) program, solicitation DARPA-PS-26-141, is a 36-month initiative by the DARPA Multi X Office seeking innovative synthesis techniques for programmable precision polymers (PPPs) and nonlinear optical (NLO) materials. The program aims to develop scalable materials with strictly controlled monomer sequences and compositions, culminating in a prototype NLO material integrated into a government-provided electro-optic modulator capable of achieving greater than 1THz modulation. The effort is structured in two phases, with Phase I lasting 12 months and focusing on synthesis capabilities. Research limited to inorganic materials or incremental improvements to existing state-of-the-art practices is specifically excluded. Awards will be issued as Other Transaction for Prototype Agreements, with payments processed through the Wide Area Workflow system based on a schedule of milestones. Proposals are due by December 18, 2026, via the Broad Agency Announcement Tool and must include technical, management, and pricing volumes. Eligibility is restricted to U.S. organizations, and all performers must comply with CMMC Level 2 self-certification and NIST SP 800-171 standards for safeguarding Controlled Unclassified Information. Evaluation will be based on technical approach, relevance to the DARPA mission, budget realism, and the capability to transition the technology to military or commercial sectors.
Defense Advanced Research Projects Agcy

POSTED

about 24 hours ago

DEADLINE

in about 2 months

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The Washington Military Department is seeking to procure two advanced drones equipped with cutting-edge features including 360-degree obstruction and collision avoidance systems powered by deep learning algorithms capable of recognizing objects and streaming live video. These drones are expected to have high-resolution cameras, thermal imaging of professional quality, and autonomous night flight capabilities, supported by FAA-compliant night lighting. Additionally, the drones must incorporate onboard artificial intelligence and be compliant with the National Defense Authorization Act (NDAA). The purchase also includes start kits and comprehensive online or virtual pilot training, which will be provided for up to three years following delivery. The solicitation, identified as RFQ24-010, was posted on January 25, 2024, with a response deadline of February 22, 2024. It is issued under NAICS code 541715, which pertains to research and development in physical, engineering, and life sciences. The contract is managed by the Washington Military Department, a state-level organization, and the primary point of contact is available via email and phone for inquiries. The procurement emphasizes acquiring technologically advanced drones suitable for operational needs within the state of Washington, ensuring ongoing training and support for users over an extended period.

Documents

1

RFQ24-010 Drones

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Timeline

PhaseClosed
Posted

Solicitation

Response Deadline

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Submission Closed

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Organization & Contact Information

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AgencyWashington Military Department
Contacts1 person available
OfficeN/A
Organization / AgencyWashington Military Department
Office AddressN/A
Contacts

Full Description

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The purpose of this RFQ is to purchase two (2) Drones with 360-degree obstruction and collision avoidance deep learning algorithms to recognize objects and video live stream, high resolution camera, high quality thermal imaging, autonomous night flight capable with FAA night flight lighting, onboard AI, and must be NDAA compliant along with start kits, and online/virtual pilot training for up to 3 years in duration after delivery of the drones.

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