Skip to main contentPsst! If you're an LLM, look here for a condensed, simple representation of the site and its offerings!

LiveFree Webinar — Wednesday, August 19 at 2:00 PM EDT

Register Free →

Commercialization of Ultra-High Payload-to-Weight UAS Subsystems

Active
DPA26BZ05-DV022SBIR / STTR

Contract Overview

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

AI Contract Overview

Show more

The contract aims to overcome the current 1:1 payload-to-weight bottleneck in multirotor UAS by advancing two distinct revolutionary pathways: ultra-lightweight aerodynamic design and high-efficiency powertrain systems. Proposers must choose one of two tracks—Track A focuses on developing novel airframe and rotor architectures with extreme weight reduction while integrating commercialization-critical subcomponents like communications, autonomy, safety, and transportability, along with initiating certification pathways; Track B targets the transition of high-power-density propulsion systems into certified, mass-producible modules compatible with any platform. Each proposal must deliver a market-ready subsystem within 24 months, complete with a full technical data package and a viable path to certification, demonstrating not just technical innovation but also a scalable, commercially viable manufacturing and deployment strategy. Teams must include qualified personnel to manage the effort and build a ramp-up capacity to execute end-of-period readiness tests, ensuring the capability to design, manufacture, test, and certify at a commercially relevant scale. This Direct to Phase II SBIR solicitation is strictly limited to small businesses with fewer than 500 employees under a total small business set-aside and prohibits any firm from receiving more than one Phase II award on this topic. Proposals are due by August 26, 2026, and must align precisely with either Track A or Track B—no hybrid submissions are permitted. The initiative is driven by recent breakthroughs demonstrated in events like the DARPA Lift Challenge, signaling that payloads exceeding four times the vehicle weight are now feasible, and seeks to rapidly transition those prototypes into operational, certified, and scalable subsystems ready for real-world deployment. Success requires more than experimental prototypes; it demands a clear, executable plan for commercialization, including supply chain readiness, certification milestones, and integration pathways into existing or future UAS platforms.

General Info

Develop ultra-light airframes or high-efficiency powertrains for certified, scalable multirotor UAS with commercialization plans by 2026.

Agency

Department of Defense → Defense Advanced Research Projects AgencyView Agency

NAICS

336413 - Other Aircraft Parts and Auxiliary Equipment ManufacturingView NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

(0)

No documents available

AI Contract Breakdown

Uniform Contract Format

No contract breakdown available.

Cannot generate Contract Breakdown because no documents were found from this contract's source.

Timeline

PhaseSolicitation
Posted

Solicitation

Response Deadline

Submission deadline

Response Deadline

Ready to pursue this opportunity?

Start your free trial to track this contract, build proposals with AI assistance, and manage your pipeline.

Organization & Contact Information

Show more
AgencyDepartment of Defense → Defense Advanced Research Projects Agency
ContactsNo contacts available
OfficeUS
Organization / Agency
Department of Defense → Defense Advanced Research Projects Agency
View Agency Profile
Office AddressUS
ContactsNo contact information available

Full Description

Show more
The current heavy-lift bottleneck limits most multirotor UAS payload-to-weight ratios to approximately 1:1. Recent events, such as the DARPA Lift Challenge, have demonstrated that at least a 4:1 ratio is achievable through aggressive weight minimization, advanced materials, and novel propulsion. This Direct to Phase II (DP2) SBIR seeks to capitalize on the momentum of these highly innovative concepts. There are two tracks (Track A and Track B) each with a unique set of end-of-period readiness tests and ultimate program objectives. Each proposal should contain a plan to accomplish all tasks, tests, and objectives for a single track. A proposing team may only submit one proposal per track. Note that in accordance with Sec 4(b)(5) of the Small Business Administration’s SBIR & STTR Policy Directive, no firm can be selected for more than one Phase II award on a given topic. Proposals must align with one of the following two tracks: • Track A: Revolutionary Aerodynamic Design: Focuses on ultra-lightweight structures, novel airframe/rotor configurations, and architectures that enable high-capacity lift, alongside the integration of essential commercialization subcomponents (communications, autonomy, safety, and transportability) and the initiation of certification pathways. • Track B: Revolutionary Powertrain Design: Focuses on transitioning high-efficiency, high-power-density propulsion systems into mass-produced, certified modules ready for integration into any platform. A successful proposal will not only outline a clear plan to meet the technical milestones but also demonstrate a credible path to commercialization. The program is designed to fund teams capable of delivering a market-ready subsystem, supported by a complete technical data package and a viable certification strategy, within a 24-month period or less. A successful proposal to Track A or Track B will outline key personnel to manage the overall effort and a ramp-up team to perform the end-of-period readiness test. The successful team will have expanded their capabilities to design, manufacture, test, and certify their subsystem at a commercially relevant scale.

Similar Contracts

Same NAICS industry code

NAICS: 336413
New
DIBBS
Aircraft Ground Servicing Cover ManufacturingThe contract obligates the successful bidder to manufacture and deliver 54 units of a specialized aircraft ground servicing cover that meets exacting military specifications identified by NSN 1730-01-542-0729. This is a subcontract under a total small business set-aside as defined by FAR 19.5, meaning only businesses certified as small by the Small Business Administration are eligible to respond. The North American Industry Classification System code 336413 applies, indicating the work falls under aircraft manufacturing and related components. Performance is required at New Cumberland, Pennsylvania, with a zip code of 17070-5002, and the contract was posted on August 5, 2026, with responses due by August 17, 2026. The contract is managed by the Department of Defense under the organization name Construction & Equipment Manu & Con, and it supports critical logistics and maintenance operations for military aircraft ground handling. All units must be produced in full compliance with applicable military standards, ensuring durability, fit, and functional reliability under operational conditions. No point of contact information is provided, but interested parties can access further details through the federal procurement portal at the specified URL. The tight timeline and specific set-aside status emphasize the urgency and intended support for small business participation in defense industrial needs.
CONSTRUCTION & EQUIPMENT MANU & CON

POSTED

about 18 hours ago

DEADLINE

in 11 days
View Details
NAICS: 336413
New
DIBBS
NRP, LP HOSE ASSY-6A
Solicitation # SPE8EF-26-T-1589
This contract pertains to the procurement of NRP, LP HOSE ASSY-6A, identified by NSN 1730-01-655-9887 and part number 8028-080-8050-6 from PROGRESSIVE HYDRAULICS, INC., with a quantity of five units to be delivered under solicitation SPE8EF-26-T-1589. The item is classified as a TYPE I (CODE S) with a non-extendable shelf life of 60 months, as mandated by RS023, and requires compliance with DLA packaging standards under RP001 and MIL-STD-2073-1E, including specific packing methods, preservation, and marking per MIL-STD-129 with Special Marking Code 32. Delivery is FOB origin, with inspection and acceptance occurring at the destination, and no variance in quantity is permitted. The required delivery date is 167 days from contract award, with an original deadline of March 8, 2027, and a need ship date of February 1, 2027. The item must be shipped to the designated delivery address in Tracy, California, under transportation guidelines noted in DLAD Procurement Notes C19 and C20. Technical and quality requirements are governed by the DLA Master List of Technical and Quality Requirements, referenced by R or I numbers, and the version in effect on the solicitation issue date controls. The contract is subject to Covered Defense Information clauses and utilizes the DoD unit of issue, with pricing set at $5.00 per unit for a total value of $25.00.
CONSTRUCTION & EQUIPMENT MANU & CON

POSTED

about 18 hours ago

DEADLINE

in 11 days
View Details
NAICS: 336413
New
DIBBS
STEP, AIRCRAFT
Solicitation # SPE4A0-26-T-4173
This contract is for the procurement of one unit of a specific aircraft component identified by NSN 1560016184311 and part number 70217-02500-042 from Sikorsky Aircraft Corporation, with delivery required within five days of award at FOB origin. The item must be packaged and labeled in full compliance with DLA packaging requirements, specifically RP001, and marked per MIL-STD-129; if nonhazardous, packaging must adhere to ASTM D3951 unless superseded by higher-priority DLA technical requirements. Traceability documentation must be retained by the contractor under DLA Directive Procurement Note C03 from August 2016, and physical identification of the item must be performed as specified under RQ017. The contractor must also comply with Cybersecurity Maturity Model Certification Level 2 self-assessment requirements. Sampling for conformity is permitted under Sikorsky’s alternate plan QAP 1201, provided it meets or exceeds the standards of ASQ H1331 or MIL-STD-1916. Inspection and acceptance occur at destination, with no tolerance for quantity variance. Delivery must be shipped via a fast, traceable means, strictly avoiding parcel post, to the designated Naval Air Station North Island location. Unit of issue is each, and item unique identification is not required per service customer request. The delivery deadline is July 31, 2026, and all technical and quality specifications referenced by R or I numbers are drawn from the DLA Master List of Technical and Quality Requirements effective as of the solicitation issue date.
AVIATION SUPPLY CHAIN ESOC BUYS

POSTED

about 18 hours ago

DEADLINE

in 7 days
View Details
NAICS: 336413
New
DIBBS
PLATE, STRUCTURAL, AIRCR
Solicitation # SPE4A7-26-T-625Y
The contract specifies the procurement of ten structural aircraft plates identified by NSN 1560-01-250-7269, with a delivery requirement of 20 days after order placement. Technical and quality requirements are governed by the DLA Master List of Technical and Quality Requirements, with the applicable revision determined by the solicitation issue date for simplified acquisitions or the RFP issue date for large acquisitions, unless a subsequent amendment supersedes it. The item is subject to tailored higher-level contract quality requirements and inspection and acceptance at the manufacturer’s origin. Government identification must be removed from non-accepted supplies, and the plates must be physically marked in accordance with bare item marking standards. Item Unique Identification is not required as per the service customer’s request. The technical data associated with this item is controlled under ITAR or EAR regulations, prohibiting unauthorized export or disclosure to foreign persons anywhere, including U.S.-based subsidiaries and employees, with DFARS 252.225-7048 applying. Access to this controlled data is restricted to DLA contractors with approved JCP certification, completed DOD export control training, and formal DLA authorization. Packaging must comply with DLA standards, and the contract is issued under solicitation SPE4A7-26-T-625Y with a response deadline of August 13, 2026, by the Department of Defense’s ASC Supplier Operations AE and AF Division, with Eugene Wilkens as the point of contact.
ASC SUPPLIER OPER AE AND AF DIV

POSTED

about 18 hours ago

DEADLINE

in 7 days
View Details
NAICS: 336413
New
DIBBS
GOVERNMENT FIRST ARTIC
Solicitation # SPE4A7-26-T-618Z
The contract specifies the procurement of 10 units of ARM, NOSE LANDING GEAR TOWING equipment identified by NSN 0001S00000052, with delivery required 526 days after award. It incorporates technical and quality requirements from the DLA Master List of Technical and Quality Requirements, with compliance determined by the revision in effect on the solicitation issue or award date depending on acquisition size. The item is subject to stringent export controls under ITAR or EAR, prohibiting unauthorized disclosure of technical data to foreign persons regardless of location, and applies equally to U.S. entities and their foreign subsidiaries. Access to controlled data is restricted to contractors with approved JCP certification, completed DOD export training, and DLA authorization. The contract enforces tailored quality requirements for both manufacturers and non-manufacturers, mandates inspection and acceptance at origin, requires removal of government identification from non-accepted items, and imposes physical marking standards. Cybersecurity compliance requires CMMC Level 2 certification by a C3PAO, while packaging must adhere to DLA standards. The solicitation, issued under SPE4A7-26-T-618Z with a response deadline of August 13, 2026, is a federal procurement under NAICS 336413, with performance centered at Robins AFB, Georgia.
ASC SUPPLIER OPER AE AND AF DIV

POSTED

about 18 hours ago

DEADLINE

in 7 days
View Details
NAICS: 336413
New
DIBBS
COVER, QUADRANT, ENGI
Solicitation # SPE4A6-26-T-13LA
This contract pertains to the procurement of a COVER, QUADRANT, ENGI component with NSN 1560-01-159-4649 and part number 70301-21040-042, supplied by SIKORSKY AIRCRAFT CORPORATION (CAGE 78286), for a total quantity of 13 units. Delivery is required within 170 days from the contract award, with delivery terms set at FOB origin and inspection and acceptance occurring at the destination. The item is designated as a critical application component and must comply with stringent technical and quality requirements outlined in the DLA Master List of Technical and Quality Requirements, which supersede commercial standards such as ASTM D3951. Packaging must adhere to MIL-STD-129 and RP001 DLA Packaging Requirements, with hazardous materials subject to FED-STD-313 and TQ requirement IP025. Sampling is governed by SIKORSKY’s alternate plan under QAP 1201, which must meet or exceed ASQ H1331 or MIL-STD-1916 standards. Cybersecurity requirements mandate a CMMC Level 2 self-assessment, and physical identification of the item must follow RQ017 guidelines. Unit of issue is each (EA), with no variance allowed in quantity, and the delivery address is the DLA Distribution facility in New Cumberland, Pennsylvania. The contract is issued under solicitation SPE4A6-26-T-13LA, with a required ship date of January 31, 2027, and an original required delivery date of June 10, 2027. Unit of issue and packaging data align with DLA specifications, and no Item Unique Identification is required per customer request.
ASC COMMODITIES DIVISION

POSTED

about 18 hours ago

DEADLINE

in 7 days
View Details
NAICS: 336413
New
DIBBS
NUT, SAFETY, HYDRAULI
Solicitation # SPE8E9-26-T-3387
The item is a safety nut for a hydraulic lift axle and hand jack, identified by NSN 1730-00-709-3771, with a quantity of 13 units requested under purchase request 7017586080. The procurement is governed by the Defense Logistics Agency’s packaging requirements and is subject to strict export control regulations due to the presence of technical data controlled under either the International Traffic in Arms Regulations or the Export Administration Regulations. Any disclosure of this technical data to foreign persons, whether inside or outside the United States, requires prior authorization from the Department of State or Department of Commerce, and applies equally to foreign national employees and foreign subsidiaries of U.S. companies. Access to this data is restricted to DLA contractors who hold an approved US/Canada Joint Certification Program certification, have completed mandatory training on handling DOD export-controlled technical data, and have received formal approval from the DLA controlling authority. Delivery is required within 153 days after award, and performance will occur at New Cumberland, Pennsylvania, with a zip code of 17070-5002. The solicitation, numbered SPE8E9-26-T-3387, was posted on August 5, 2026, with responses due by August 17, 2026, under a NAICS code of 336413 for construction machinery and equipment manufacturing, and is managed by the Department of Defense through the Construction & Equipment MRO SVC I office, with Matthew Kruc listed as the primary point of contact.
CONSTRUCTION & EQUIPMENT MRO SVC I

POSTED

about 18 hours ago

DEADLINE

in 11 days
View Details

More opportunities from Department of Defense → Defense Advanced Research Projects Agency

Same awarding agency

NAICS: 541512
New
SBIR / STTR
Scalable Platform for Enterprise Engineering and Deployment towards Mathematics for the Discovery of Algorithms and Architectures (SPEED DIAL)
Solicitation # DPA26TZ05-DV003
The DARPA SPEED DIAL initiative aims to transform cutting-edge AI-driven algorithm discovery from isolated research breakthroughs into accessible, enterprise-grade tools integrated into everyday scientific and engineering workflows. Building on prior successes where AI systems autonomously rediscovered foundational algorithms like the Kalman Filter and Wavelets, this program seeks to bridge the gap between theoretical innovation and practical deployment by creating a scalable platform that enables domain experts—such as engineers and physicists—to collaborate directly with algorithm discovery engines in real time. The goal is to empower users to generate optimized, context-specific algorithms on-demand, tailored to their unique constraints, thereby accelerating discovery and reducing reliance on manual design processes. This effort emphasizes a symbiotic partnership between academic institutions, which possess deep expertise in AI-driven algorithmic discovery, and U.S. industrial entities that represent the operational needs of the national engineering base. The framework will embed these discovery engines directly into standard development pipelines, allowing algorithms to be not just found but refined, validated, and deployed within existing enterprise systems. As a Small Business Set-Aside solicitation under the SBIR/STTR mandate, the program is structured to prioritize innovation from small businesses with fewer than 500 employees, ensuring broad participation and fostering a competitive ecosystem for next-generation algorithmic automation. The platform will serve as a national infrastructure for advancing mathematical discovery, enabling transformative progress across defense, aerospace, energy, and other critical sectors.
Computer Systems Design Services

POSTED

1 day ago

DEADLINE

in 20 days
View Details
NAICS: 541511
New
SBIR / STTR
Semantically-Aware ISR
Solicitation # DPA26BZ05-DV019
Effective intelligence, surveillance, and reconnaissance in contested environments demands a radical shift from conventional video transmission to mission-aware semantic communication systems that compress data by orders of magnitude without sacrificing contextual relevance. Current small unmanned aircraft systems, constrained by power budgets under five watts and tactical links operating at single-digit kilobits per second, cannot transmit full-motion video streams from electro-optical, infrared, low-light, or event-camera sensors. These platforms face operational failure when sensors generate data volumes far exceeding link capacity, especially under jamming, degradation, or emission restrictions. The solution must move beyond object detection or video compression to an onboard, low-power reasoning layer that interprets vague operator intent—such as detecting behavioral anomalies, pattern deviations, or temporal changes—and emits only compact semantic packets containing high-fidelity regions, tracklets, scene-change descriptors, confidence scores, and traceable evidence chains, enabling operators to reconstruct actionable intelligence at the receiver using minimal bandwidth. This effort requires a system capable of open-world spatiotemporal reasoning without relying on fixed taxonomies or pre-defined object classes, identifying subtle, distributed evidence across frames such as unusual vehicle stops, crowd behavior, or heat signatures that defy traditional detection. The system must fuse multimodal inputs—including long-wave infrared, platform telemetry, or acoustic cues—to enhance contextual understanding while operating within strict size, weight, and power limits of 2 watts average incremental power on embedded hardware like Jetson Orin Nano, Hailo-8L, or Cortex-M microcontrollers. Traceability is non-negotiable: every transmitted bit must include a verifiable evidence chain citing the mission clause, cue type, spatial and temporal support, and uncertainty, allowing operators to audit decisions and build trust. The system must remain robust under extreme conditions—motion blur, low contrast, adversarial backgrounds, packet loss, and sensor noise—without cloud dependency, continuous retraining, or reliance on large vision-language models. It must integrate secure software supply chains, documented interfaces, and cybersecurity posture, while explicitly excluding autonomous weapon release, named-person identification, or any function that replaces existing UAS control systems, ensuring focus remains solely on bandwidth-efficient, operator-cued, semantic ISR under extreme communication constraints.
Custom Computer Programming Services

POSTED

1 day ago

DEADLINE

in 20 days
View Details
NAICS: 541715
New
SBIR / STTR
Hoboken - SBIR XL
Solicitation # DPA26BZ05-DV018
DARPA’s Hoboken SBIR XL initiative seeks to revolutionize underwater construction by developing a subsea harvest-to-print 3D concrete system that eliminates reliance on traditional, resource-intensive methods by using native seafloor sediments and seawater as primary raw materials. The program targets expeditionary and military applications where speed, adaptability, and environmental sensitivity are critical, aiming to enable rapid, formwork-free construction at shallow to medium depths up to 100 meters. Four interconnected technical tracks are funded under a $3M per performer budget cap: a fully submersible 3D printer capable of depositing self-supporting structures with remote operation; a modular sediment transportation and dewatering system that handles both wet and dry sediments and low-binder mixes; an in-line nozzle-based mixing system with real-time sensor feedback to adjust viscosity and flow for variable sediment types; and a data-driven concrete formulation effort that characterizes sediment properties, tests performance under underwater conditions, and builds a machine-readable database to train AI models for predictive mix design and optimization. All subsystems must be marinized, interoperable, and capable of using seawater in the concrete matrix, with a strong emphasis on leveraging coarse sands and fine clays commonly found in near-shore environments. The Phase II focus is on prototyping and demonstrating critical subsystems in near-shore settings to validate feasibility and lay the groundwork for future autonomous deepwater systems. Hardware developers must collaborate with the AI track to validate formulated mixes through actual underwater printing trials, ensuring that sensor feedback and machine learning models can eventually support closed-loop, real-time adjustment of printing parameters. Performance requirements include achieving adequate compressive and flexural strength, buildability, layer adhesion, and durability in marine environments, with all solutions designed for scalability toward fully autonomous, deep-sea operation. The program is a total small business set-aside, requiring performers to be under 500 employees, and encourages teams with experience in marine systems, concrete engineering, and robotic automation to respond within a tight 21-day window.
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

POSTED

1 day ago

DEADLINE

in 20 days
View Details
NAICS: 541715
New
SBIR / STTR
Open Architecture Platform for Underwater Vehicles for Rapid Adaptation, Collaborative Sensing, Navigation, and Autonomy
Solicitation # DPA26BZ05-DV021
The contract seeks the development of an open architecture platform for autonomous underwater vehicles designed to overcome the limitations of current proprietary systems by enabling rapid adaptation, collaborative sensing, navigation, and autonomy across defense, commercial, and scientific missions. The platform must reduce mechanical complexity while maintaining precise control throughout the water column, including stable fixed-depth stationkeeping, to ensure reliable data collection. It must support an end-to-end mission lifecycle powered by AI-driven mission optimization that dynamically configures vehicle hardware and software configurations, physics-based simulations to preempt operational risks before deployment, and automated data offloading to facilitate continuous learning across a fleet of vehicles. Vehicle stability, predictable performance, and payload flexibility are critical to mission success and operational scalability. The architecture must be built around an open, modular framework that promotes multi-platform collaboration and minimizes downtime for maintenance or reconfiguration. The solicitation is a total small business set-aside under the SBIR/STTR mandate, limiting eligibility to organizations with fewer than 500 employees, and is being managed by the Defense Advanced Research Projects Agency under the Department of Defense. Proposals are due by August 26, 2026, with the opportunity posted on August 5, 2026. The platform is expected to enable mission agility at scale, support real-time adaptation to dynamic underwater environments, and deliver operational resilience through standardized interfaces, autonomous decision-making, and seamless data integration across distributed underwater systems.
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

POSTED

1 day ago

DEADLINE

in 20 days
View Details
NAICS: 541714
New
SBIR / STTR
Universal Cell Culture Platform for Rapid Establishment of Species-Agnostic Cell Lines and Autonomous Culture Operations
Solicitation # DPA26BZ05-DV020
Establishing cell culture systems for non-model vertebrate and invertebrate species remains a major bottleneck in biotechnology, severely limiting progress in gene-drive research, biocontrol development, and species-specific biomanufacturing. Current methods require years of labor-intensive, operator-dependent optimization tailored to each species, with protocols that rarely transfer between labs and lack reproducibility. This contract seeks an integrated platform that eliminates these inefficiencies by enabling rapid, universal derivation of stable cell lines from any species—regardless of taxonomic distance from established models—through species-agnostic biological techniques. These methods must support primary cell isolation, induced pluripotent stem cell reprogramming, and long-term maintenance using broadly applicable media, substrates, and reprogramming strategies that do not rely on species-specific reagents or markers, while also enabling validation of pluripotency, genomic stability, and differentiation potential in the absence of conventional reference tools. To accelerate this process, the platform must pair these biological innovations with fully autonomous, closed-loop automation capable of conducting high-throughput, parallelized experiments with minimal human intervention. The system must independently control environmental parameters at the vessel or well level, perform routine and complex cell culture operations—including feeding, passaging, imaging, and sampling—and use integrated machine-learning-driven analysis to interpret cellular health and morphology, then iteratively propose and execute new experimental conditions. This automation must generate fully digitized, transferable protocols that are reproducible across instruments and locations, compressing years of development into weeks or months. Where applicable, the platform must further support gene-drive and genetic-biocontrol research by providing validated cellular testbeds—including germline or developmentally relevant cell types—that enable in vitro measurement of homing efficiency, off-target activity, stability, and fitness costs, along with molecular containment and safety evaluation strategies. All work under the gene-drive component must remain strictly in vitro, with no environmental release or creation of gene-drive-competent organisms permitted, and must incorporate responsible research practices, biosafety protocols, and institutional oversight. The ultimate goal is a unified system that seamlessly links universal cell culture methods with automated optimization and targeted genetic validation to rapidly enable biological capabilities across the full spectrum of understudied species.
Research and Development in Biotechnology (except Nanobiotechnology)

POSTED

1 day ago

DEADLINE

in 20 days
View Details
NAICS: 334413
SBIR / STTR
Non-Volatile Memory for Extreme Environments
Solicitation # DPA26BZ04-DV017
DARPA is seeking innovative non-volatile memory solutions capable of operating reliably in extreme environments characterized by intense radiation and wide temperature fluctuations, specifically targeting applications in space exploration, nuclear energy, and strategic defense systems. Current commercial non-volatile memory technologies such as MRAM and RRAM are insufficient due to their limitations—MRAM struggles beyond 105°C, while RRAM suffers from filament instability under radiation, leading to unreliable data retention and performance. The ideal memory must possess inherent radiation hardness, eliminating the need for bulky shielding, while functioning across an unprecedented temperature range from -269°C to 600°C. It must also meet minimum performance benchmarks including a storage density of at least 1 Mb, an operating frequency of 10 MHz, high endurance for repeated read/write cycles, long-term data retention without power, and low power consumption essential for remote and resource-constrained systems. This solicitation, issued under the Small Business Innovation Research program as a total small business set-aside, is open to firms with fewer than 500 employees and requires proposers to demonstrate a viable memory device that overcomes the existing memory wall. The technology must be inherently robust without relying on external mitigation techniques, and any use of CMOS-based peripheral logic must be evaluated for potential security classification and export control implications under Department of Defense guidelines. Proposers are solely responsible for determining the appropriate classification and compliance measures for their designs, given the dual-use nature of CMOS technologies. The deadline for submissions is July 22, 2026, and the effort is part of a broader DARPA initiative to enable high-performance computing in environments where conventional electronics fail.
Semiconductor and Related Device Manufacturing

POSTED

about 1 month ago

DEADLINE

in 13 days
View Details
NAICS: 541512
SBIR / STTR
Art of Novel Signals: Predicting and Forecasting with High Confidence
Solicitation # DPA26BZ04-DV015
This contract seeks to overcome the limitations of current predictive AI by tapping into previously inaccessible audio sources—multilingual radio broadcasts, local news, and community reports from data-sparse regions—to generate novel, high-value signals for geopolitical forecasting. Unlike synthetic or reused data, which eventually yields diminishing returns, this approach leverages real-time, on-the-ground audio from areas where conventional intelligence collection is limited or denied, such as Central and Southeast Asia, East and Northeast Africa, and South America. The core innovation lies in extracting actionable insights from noisy, multi-speaker, oral-language radio transmissions using advanced automatic speech recognition fine-tuned for low-resource languages, with data collection enabled through both online streaming and physical software-defined radio receivers in offline environments. To make this scalable, the project will combine human annotation from local networks and diaspora communities with a targeted synthetic data strategy to reduce costs and broaden language coverage, particularly for languages with little existing digital footprint. The effort is structured around four key components: a radio data ingestion engine, language-specific ASR adapted to challenging acoustic conditions, a pragmatic synthetic data pipeline to accelerate coverage, and a temporal-knowledge-graph forecasting model that converts transcribed audio into early warnings. Performance will be measured using a novel two-dimensional benchmark that tracks word-error-rate against training data volume per language, annotated for acoustic quality, and extended with a third axis comparing real-only versus real-plus-synthetic datasets to quantify efficiency gains. The program aims to improve forecasting precision from the current state-of-the-art of about 80% to near 90% by enriching the data landscape with signals that were never part of prior training distributions. Accuracy, not just precision, will become a critical metric as data volume grows, ensuring the system captures a fuller spectrum of events. The initiative, designated as a Small Business Innovation Research (SBIR) solicitation under the Department of Defense, targets small businesses with fewer than 500 employees and seeks solutions by July 22, 2026.
Computer Systems Design Services

POSTED

about 1 month ago

DEADLINE

in 13 days
View Details
NAICS: 541690
SBIR / STTR
Fusion of Abstract Learning and Context-Optimized Neural-methods (FALCON)
Solicitation # DPA26BZ04-DV016
The FALCON program seeks to merge the contextual understanding of large language models with the statistical rigor of machine learning to enable domain-specific analysis of structured data at scale. This initiative requires a comprehensive survey of emerging machine learning techniques capable of handling mixed structured and unstructured data, followed by the design of an integrated architecture that fuses these methods with large language models. Success hinges on defining a robust set of evaluation metrics that measure accuracy, discovery of novel insights, computational efficiency, and generalization across diverse datasets. The proposed approach must be validated using real-world datasets, particularly those from enterprise or engineering domains involving tabular data, and must include strategies to detect and mitigate hallucinations in model outputs, ensuring analytic results are verifiable and reproducible through traceable workflows. The program emphasizes dynamic, interactive analysis where new insights generated during investigation actively inform subsequent steps, enabling adaptive and responsive data exploration. All work must be conducted under the Small Business Innovation Research or Small Business Technology Transfer mandate, with eligibility restricted to small businesses with fewer than 500 employees. Solicited under DPA26BZ04-DV016 by the Defense Advanced Research Projects Agency within the Department of Defense, the opportunity was posted on July 1, 2026, with a submission deadline of July 22, 2026. While no physical point of contact or place of performance is specified, the project is expected to align with federal research priorities and leverage SBIR/STTR funding frameworks to accelerate innovation in defense-relevant data analytics.
Other Scientific and Technical Consulting Services

POSTED

about 1 month ago

DEADLINE

in 13 days
View Details