DARPA Biological Technologies Office (BTO) Broad Agency Announcement

Executive Summary:

DARPA’s Biological Technologies Office (BTO) is accepting rolling proposals to fund transformative biology-enabled capabilities for national security. An abstract is required before a full proposal, and both abstracts and proposals are accepted until September 30, 2026. For selected proposals ≤$2,000,000 that opt into the accelerated path, awards can be made within 30 days of selection. Companies targeting this BAA should submit an abstract as soon as possible as they are reviewed on a rolling basis.

How much funding would I receive?

Funding levels are not pre-set; BTO anticipates multiple awards across topics. An optional accelerated award path is available for selected proposals not exceeding $2,000,000 total, using model agreements tailored for small and large businesses.

What could I use the funding for?

Research & Development proposals that leverage biological properties and processes to revolutionize our ability to protect the nation’s warfighters. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.

• General Topics

  • Biological and/or chemical technology topic areas that fit the national security scope of BTO’s mission.

  • Research into market opportunities, constraints, and communities affecting financing and commercialization of bioindustrial and biomedical technologies.

• Machine Learning (ML) and Artificial Intelligence (AI)

  • Developing and advancing our understanding of the impact and principles underlying biological data generation, assessment and incorporation into the biological foundation models, or mixed-mode foundation models. This includes taking theoretical approaches as well as understanding the scaling laws of these data for various types of models.

  • Advancing the capabilities of broad or narrow biological and/or chemical or mixed-mode foundation models far beyond the state of the art.

  • Developing and proving non-experimental models or hybrid experimental/non-experimental assessment strategies for biological foundation model assessment.

  • Exponentially accelerating the time scale of biological system simulation from the subcellular through multicellular, organismal and environmental systems, including for threat prediction, impact assessment, and attribution modeling.

  • Developing ML and AI-enabled technologies to improve the accuracy, precision, and efficiency of warfighter decision-making in complex and dynamic environments (e.g., on and off the battlefield), including for real-time threat assessment and response planning.

  • The development of virtual testbeds, digital twins, and/or synthetic data to accelerate or improve the predictive modeling of human performance.

• Combat Casualty Care

  • Developing novel diagnostic, prophylactic, and therapeutic approaches for warfighter injury that can be provided even in austere settings and extreme conditions.

  • Developing capabilities and technologies that enhance the ability of non-skilled service members to perform essential medical tasks closer to the point of injury, reducing dependence on highly trained personnel through assistive devices.

  • Developing decision support tools that algorithmically optimize the alignment of medical requirements and resources in complex, data-constrained mass casualty scenarios to enhance near-real-time situational awareness and command and control (C2) planning and execution.

  • Development of capabilities and technologies that enhance the ability of non-skilled service members to perform essential medical tasks closer to the point of injury, reducing dependence on highly trained personnel through assistive devices.

• Human Performance

  • Understanding and improving treatment of and resilience in neurological health, transformative neural processing, fatigue, cognition, and optimized human performance and teaming, including in extreme stress conditions.

  • Discovering interventions that utilize biotechnology, biochemistry, molecular biology, microbiology, neuroscience, psychology, cognitive science, social and behavioral science, and related disciplines to assess and optimize human performance and teaming.

  • Developing and leveraging technologies to advance continuous or near-continuous monitoring of physiology to elucidate mechanisms of human readiness, cognitive status, and resilience.

  • Understanding and improving interfaces between the biological and physical world to enable seamless biohybrid systems and devices.

  • Developing approaches to enhance physiological resilience, performance, and survivability in extreme conditions (e.g., cold weather, extreme heat, high altitude).

  • Identifying technologies and tactics to increase or accelerate the impact of training regimens while reducing the risk of injury.

• Materials, Sensors, Processing

  • Designing novel materials, sensors, or processes that mimic or are inspired by biological systems.

  • Creating tools such as foundation models or prediction engines to understand the underlying rules defining biomolecular and biomaterial or hybrid biotic/abiotic material structure/function properties (individual properties or groups of properties) in order to predict desired outcomes for novel material development. Importantly, these predictions should hold from the molecular scale to the macro scale.

  • Developing new computational and experimental tools and predictive capabilities for engineering of biological systems, such as cells, tissues, organs, organisms, and complex communities, to both develop new products and functional systems, as well as to gain new insights into underlying mechanisms.

  • Developing technologies to leverage biological systems and enhance the acquisition and maintenance of critical and strategic organic and inorganic materials.

  • Understanding and leveraging complex biological systems into underlying functional rules and processes to provide models that govern interactions of biological systems from biofilms to organs or ecosystems.

  • Developing new platform technologies that integrate, automate, and miniaturize the collection, processing, and analysis via direct or indirect interrogation of biological and chemical samples.

  • Developing hybrid biological/engineered systems that integrate biological organisms, components, biologically-encoded circuitry, biogenic materials, or exploit biological phenomena to surpass capabilities of abiotic equivalents.

  • Developing novel biological sensor platforms with reduced size, weight, and power requirements of equivalent electro-optical or electro-mechanical systems with orders of magnitude increase in equivalent performance.

• Security, Safety, and Surveillance

  • Developing new technologies and approaches to ensure the biosafety and biosecurity of biological hardware and data. Ensuring the safety and security of AI technologies that accelerate biological research and development processes.

  • Developing innovative technologies to detect, characterize, treat, prevent, and forecast the effects of novel, engineered, or natural emerging pathogens that have the potential to cause significant health, economic, and social burdens, to prevent their spread and enable understanding of their origin.

  • Developing ML, AI approaches, and advanced data analytics for the rapid analysis, interpretation, identification, attribution, and origin tracing of large-scale, disparate biological and environmental surveillance data streams, enabling anomaly detection, pattern recognition, scalable detection, and predictive analytics to identify emerging threats or anomalous events and provide early warning and anticipatory action against natural or manmade biological threats.

  • Advancing technologies for determination and attribution along with data provenance analysis at chemical, isotopic, genetic, and community structure levels.

  • Developing novel sensing, surveillance, and processing technologies (including in-situ and remote modalities) to detect, identify, monitor, and analyze weak biological signals of emerging pathogens (novel, engineered, or natural) at all scales, including their secondary effects on the environment.

  • Developing new technologies and data analytics to support next-generation surveillance, detection, identification, and attribution of human and agricultural pathogens at scale and in near real-time.

  • Developing novel in-situ or remote sensing and surveillance technologies at the global, regional, and local scale that detect and identify novel, engineered, and/or natural emerging pathogens to prevent their spread or understand their origin.

• Biomedical & Biodefense

  • Developing new technologies for rapid, automated, and resilient manufacturing, delivery, and distribution of critical molecules for applications in therapeutics, chemical, and biological defense.

  • Developing new technologies to support next-generation cellular therapeutic applications.

  • Developing new platform technologies for targeted, effective, spatiotemporally controlled delivery of large and small molecules and biologics.

  • Leveraging biotechnology to create new platform solutions that combat antimicrobial resistance, generate novel drug and cell-based therapeutics, and treat warfighter injury and illness.

Are there any additional benefits I would receive?

Beyond the formal award, there are significant indirect benefits to receiving a DARPA Biological Technologies Office (BTO) contract or agreement:

• Government Validation and Credibility:
  Being selected by DARPA—the Department of Defense’s premier innovation agency—signals extraordinary technical credibility and alignment with national security priorities. This “DARPA validation” often accelerates partnerships with primes, OEMs, and investors who trust government-vetted innovation.

• Enhanced Market Visibility and Notoriety:
  Award recipients frequently receive public recognition through DARPA announcements, defense innovation conferences, and press coverage. This visibility helps position your company as a cutting-edge player in defense biotech and deeptech, attracting further investment and talent.

• Ecosystem Access and Collaboration Opportunities:
  DARPA performers gain access to the BTO’s extensive network, including technical advisors, transition partners, and resources. These programs support contractor readiness, compliance, and downstream transition—opening doors to additional government and industry contracts.

• Nondilutive Growth and Strategic Leverage:
  Because funding is nondilutive, companies can scale and validate core technologies without giving up equity. This validation and maturity achieved under government sponsorship often lead to higher valuations and greater leverage in future fundraising or acquisition discussions.

• Faster Execution and Credible Track Record:
  With DARPA’s accelerated contracting path, companies can move from selection to award in as little as 30 days—establishing a record of execution under one of the most selective R&D programs in the world, which strengthens competitiveness for future federal or dual-use opportunities.

What is the timeline to apply and when would I receive funding?

Abstracts are accepted on a rolling basis until September 30, 2026, 4:00 PM ET (abstract and DARPA invitation are required before any full proposal).

Full proposals are accepted on a rolling basis until September 30, 2026, 4:00 PM ET.

Accelerated option (≤$2M) awards may be issued within 30 days of selection notification if you submit the required election/attestations and use the model agreement.

Where does this funding come from?

The Defense Advanced Research Projects Agency (DARPA), Biological Technologies Office

Who is eligible to apply?

All responsible sources—U.S. and non-U.S.—may submit, except FFRDCs, UARCs, and Government entities (incl. National Labs), which are not eligible as prime proposers. NAICS: 541714 (biotech R&D). Submissions must comply with U.S. security, export control, and related laws.

What companies and projects are likely to win?

The scoring criteria reward proposals that:

1. Present a bold, high-impact technical approach. Proposals that merely increment the state of practice are explicitly out-of-scope;

2. Directly advance DARPA’s national-security mission; and

3. Show credible cost/schedule realism with clear deliverables and risk-mitigation. Prior experience executing similar efforts and leveraging relevant prior research strengthen competitiveness.

Are there any restrictions I should know about?

• Abstract is mandatory; DARPA must invite a proposal before it will be reviewed.

• Compliance areas include CUI handling, cyber (e.g., NIST SP 800-171 assessments), export controls, and human/animal research approvals where applicable.

• Certain entities/equipment (e.g., Kaspersky, certain telecom/DRONE restrictions, ByteDance apps) are prohibited by clause.

How long will it take me to prepare an application?

For a first-time applicant, preparing a competitive submission under this BAA will likely take 120–160 hours in total.

How can BW&CO help?

Our team specializes in complex federal R&D proposals and can:

• Triple your likelihood of success through proven strategy and insider-aligned proposal development

• Reduce your time spent on the proposal by 50–80%, letting your team focus on technology and operations

• Ensure you are targeting the best opportunity for your project and positioning your company for long-term growth under Federal & State R&D Initiatives.

How much would BW&CO Charge?

Our full service support is available for a flat fee of $15,000 Project + a 5% Success Fee.

Fractional support is $300 per hour, with most DARPA proposal projects requiring 80–100 hours of expert support from strategy through submission of full proposal.

For startups, we offer a discounted rate of $250 per hour to make top-tier grant consulting more accessible while maintaining the same level of strategic guidance and proposal quality.

Additional Resources

• Webinar - New Biotech Funding: $2M from the DARPA BTO Office

• See solicitation on Grants.Gov

DARPA Microsystems Technology Office (MTO) Office-Wide BAA

Below is a brief summary. Please check the full solicitation before applying (link in resources section).

Executive Summary:

DARPA’s Microsystems Technology Office (MTO) is offering funding for revolutionary research across microelectronics, photonic circuits, quantum systems, biological/organic circuits, advanced manufacturing ecosystems, and dual-use microsystems. Multiple awards are anticipated, with no predefined funding limits. Abstracts are accepted until January 15, 2026, and proposals until March 2, 2026.

How much funding would I receive?

Funding amount is flexible. DARPA anticipates multiple awards, and efforts may span basic research (6.1), applied research (6.2), or advanced technology development (6.3). Proposers can also elect an Accelerated Award Option for awards under $2 million with 30-day award timelines.

What could I use the funding for?

Research areas of current interest to MTO include, but are not limited to, the following topics:

• Quantum circuits

  1. Interconnect technologies for transferring quantum states between qubit platforms

  2. Generalizable improvements for processing chain for all types of quantum sensors

  3. High density low loss mixed signal transfer between room and quantum temperatures

• Biological circuits

  1. High throughput molecular readers for full spectrum sequencing

  2. 3-dimensional bio-templated self-assembly of microsystems

  3. Highly-parallel DNA writing platforms for long DNA writes for genome-scale complexity with low error

• Photonic circuits

  1. Applications for purely photonic circuits not realizable in electronic circuits

  2. Chip scale photonics for ultralow noise microwave sources

  3. Tunable chip scale ultrafast (<10 ps) lasers

  4. Fiber-inspired ultralow loss integrated photonics

• Manufacturing Ecosystem

  1. Litho- and etch-free direct nanoscale semiconductor manufacturing

  2. Low-loss high permeability/permittivity materials

  3. High density cryogenic-to-room-temperature interconnects

  4. Atomically precise, multi-chemistry molecular manufacturing technologies

  5. Energy reclamation from low-grade waste heat

  6. Reconfigurable multiscale manufacturing for onshore manufacturing

• Dual Use by Design

  1. All-weather long distance high bandwidth communications

  2. Commercially relevant tool development challenge problems

  3. Conformal and malleable batteries

  4. Design and assembly of complex microsystems in supply-chain-free environments

  5. Reconfigurable additive manufacturing for multiple classes of materials

  6. Context aware imaging

Are there any additional benefits I would receive?

Beyond direct funding, awardees gain significant strategic advantages:

Government Validation & Credibility
DARPA selection signals elite technical quality and national-security relevance — often accelerating partnerships with primes, OEMs, and investors.

Enhanced Market Visibility
Awards frequently lead to increased visibility through DARPA communications, publications, and industry attention.

Ecosystem Access & Collaboration
Awardees join a national innovation community spanning quantum, photonics, microelectronics, and advanced materials — opening doors to long-term collaborations and follow-on opportunities.

Stronger Exit & Acquisition Potential
Non-dilutive support enables deep tech maturation without equity loss. Companies validated by DARPA historically see improved valuation, stronger commercial traction, and increased acquisition interest.

What is the timeline to apply and when would I receive funding?

Abstract Deadline: January 15, 2026, 1:00 PM ET

Proposal Deadline: March 2, 2026, 1:00 PM ET

DARPA reviews proposals on a rolling basis.

If you select the Accelerated Award Option (<$2M projects), DARPA may issue an award within 30 days of selection notification.

Where does this funding come from?

Funding comes from the Defense Advanced Research Projects Agency (DARPA) under the Microsystems Technology Office (STO).

Who is eligible to apply?

The BAA does not restrict eligibility. Typical DARPA BAAs accept proposals from:

• U.S. businesses of any size

• Universities

• Nonprofits

• Federally-funded research and development centers (with limitations)

Foreign entities may be subject to additional restrictions depending on classification and export-control considerations.

What companies and projects are likely to win?

DARPA will select proposals that score highly on scientific merit, mission relevance, and cost realism.

• High Scientific & Technical Merit: Innovative, feasible, and well-justified approaches with clear deliverables, identified risks and credible mitigations, and a team with the expertise to execute.

• Strong Contribution to DARPA’s Mission: Efforts that meaningfully advance U.S. national security capabilities, show a credible transition path to U.S. defense applications, and include an IP strategy that does not hinder government use.

• Realistic, Well-Substantiated Costs: Budgets that accurately reflect the level of effort, materials, labor, and technical scope—avoiding artificially low estimates and demonstrating efficient use of prior research and existing capabilities.

Are there any restrictions I should know about?

• Research must be revolutionary, not incremental.

• CMMC Level 2 is required for procurement contracts beginning Nov 10, 2025.

• Foreign influence and security review applies to fundamental research teams.

• Classified submissions require coordination with DARPA security.

• Export control and CUI restrictions apply.

How long will it take me to prepare an application?

For a first-time applicant, preparing a competitive submission under this BAA will likely take 120–160 hours in total.

How can BW&CO help?

Our team specializes in complex federal R&D proposals and can:

• Triple your likelihood of success through proven strategy and insider-aligned proposal development

• Reduce your time spent on the proposal by 50–80%, letting your team focus on technology and operations

• Ensure you are targeting the best opportunity for your project and positioning your company for long-term growth under Federal & State R&D Initiatives.

How much would BW&CO Charge?

Our full service support is available for a flat fee of $5,000 for the Abstract Submission.

Fractional support is $300 per hour, with most DARPA proposal projects requiring 80–100 hours of expert support from strategy through submission of full proposal.

For startups, we offer a discounted rate of $250 per hour to make top-tier grant consulting more accessible while maintaining the same level of strategic guidance and proposal quality.

Additional Resources

See solicitation on sam.gov

DARPA Strategic Technology Office-Wide Broad Agency Announcement (BAA)

Executive Summary:

DARPA’s Strategic Technology Office (STO) BAA is soliciting breakthrough research concepts that create new mission-level capabilities beyond the current state of practice. The agency will fund a limited number of high-risk, high-reward proposals across a broad range of defense and national-security technical domains. Applications are due December 19, 2025.

How much funding would I receive?

DARPA does not publish fixed award amounts for this BAA. STO funds a limited number of proposals, and budgets are determined by the technical approach, the scope of work, and alignment with STO priorities.

What could I use the funding for?

DARPA's STO seeks innovative ideas and disruptive technologies that provide the U.S. military and national security leaders with trusted, disruptive capabilities across all physical domains (Air, Space, Sea, and Land) and across the spectrum of competition. STO programs deliver solutions at speed and scale for today's warfighters while developing the resilient "breakthrough" systems and technologies needed for future battlespaces. STO does not focus on one area of responsibility or phenomenology. Rather, STO programs capture the strategic, logistical, and tactical complexity of today's national security environments. STO is a "systems office" seeking to create new "proof-of-concept" mission systems. Its goals are to develop and demonstrate new capabilities that expand what is technically possible.

Research areas of current interest to STO include, but are not limited to, the following topics:

•  Acoustic communication and sensing

•  Adaptability

•  Advanced computing

•  Additive manufacturing

•  Architecture and advanced systems engineering

•  Artificial intelligence

•  Autonomy and control algorithms

•  "Big data" analytics

•  Combat identification

•  Command and control (C2)

•  Communications and networking, virtual and adaptive

•  Complexity management

•  Critical infrastructure defense

•  Decision aids and C2 technology

•  DevOps and novel software development and integration

•  Directed energy (DE)

•  Distributed autonomy and teaming (machine-machine, human-machine)

•  Economic security

•  Effects chain functions (disaggregated find, fix, finish, target, engage, assess)

•  Electro-optic/infrared sensors

•  Electromagnetic warfare (EW)

•  High-frequency (HF) communications and sensing

•  High voltage electric power systems and architecture

•  Human behavior modeling

•  Human-machine symbiosis

•  Industrial engineering

•  Integration and reliability technologies

•  Interoperability

•  Logistics

•  Modeling and simulation

•  Microwave and millimeter wave communications and sensing

•  Novel kinetic effects

•  Non-kinetic effects (EW, DE, cyber)

•  Optical technologies

•  Photonics

•  Radio technologies (especially software-defined and novel waveforms and processing)

•  Radar and adaptive arrays

•  Resilient systems

•  Robotics

•  Seekers and other expendable sensors and processing

•  Sensors and analytics

•  Signal processing

•  Space sensors, communications, autonomy, and architectures (especially supporting proliferated low earth orbit constellations)

•  Strategy analysis technology

•  Supply chain analytics

•  System of systems

•  Undersea and seabed technology

•  Tactics development technology

•  Testing and data collection

•  Very low earth orbit (VLEO) technology

•  Very low frequency (VLF) technology

Are there any additional benefits I would receive?

Beyond the direct award, DARPA funding offers significant strategic advantages:

Government Validation and Credibility:
Receiving a DARPA award signals exceptional scientific and engineering merit, which accelerates engagement with primes, integrators, strategic partners, and investors.

Enhanced Visibility and Notoriety:
DARPA programs are frequently highlighted in federal communications, technical conferences, and defense media—boosting your company’s profile across the national security sector.

Ecosystem Access and Collaboration Opportunities:
Awardees gain access to DARPA program managers, government labs, test ranges, and a high-level innovation network—opening doors to future contracts and partnerships.

Stronger Exit and Acquisition Potential:
Nondilutive funding that matures breakthrough technology, combined with the DARPA “stamp,” often increases valuation and attractiveness to large defense, aerospace, semiconductor, and AI-focused acquirers.

What is the timeline to apply and when would I receive funding?

Applications are due December 19, 2025.

DARPA does not publish a fixed award timeline.

Where does this funding come from?

Funding comes from the Defense Advanced Research Projects Agency (DARPA) under the Strategic Technology Office (STO), a DoD organization responsible for advanced mission-level systems and emerging technologies.

Who is eligible to apply?

The BAA does not restrict eligibility. Typical DARPA BAAs accept proposals from:

• U.S. businesses of any size

• Universities

• Nonprofits

• Federally-funded research and development centers (with limitations)

Foreign entities may be subject to additional restrictions depending on classification and export-control considerations.

What companies and projects are likely to win?

DARPA will select proposals that score highly on scientific merit, mission relevance, and cost realism.

• High Scientific & Technical Merit: Innovative, feasible, and well-justified approaches with clear deliverables, identified risks and credible mitigations, and a team with the expertise to execute.

• Strong Contribution to DARPA’s Mission: Efforts that meaningfully advance U.S. national security capabilities, show a credible transition path to U.S. defense applications, and include an IP strategy that does not hinder government use.

• Realistic, Well-Substantiated Costs: Budgets that accurately reflect the level of effort, materials, labor, and technical scope—avoiding artificially low estimates and demonstrating efficient use of prior research and existing capabilities.

Are there any restrictions I should know about?

• Proposals must not duplicate existing STO programs or other active STO BAAs.

• Research that yields incremental or “evolutionary” improvements is specifically excluded.

• Offerors are strongly encouraged to review current STO programs and speak with program managers before applying.

How long will it take me to prepare an application?

For a first-time applicant, preparing a competitive submission under this BAA will likely take 120–160 hours in total.

How can BW&CO help?

Our team specializes in complex federal R&D proposals and can:

• Triple your likelihood of success through proven strategy and insider-aligned proposal development

• Reduce your time spent on the proposal by 50–80%, letting your team focus on technology and operations

• Ensure you are targeting the best opportunity for your project and positioning your company for long-term growth under Federal & State R&D Initiatives.

How much would BW&CO Charge?

Our full service support is available for a flat fee of $15,000 Project + a 5% Success Fee.

Fractional support is $300 per hour, with most DARPA proposal projects requiring 80–100 hours of expert support from strategy through submission of full proposal.

For startups, we offer a discounted rate of $250 per hour to make top-tier grant consulting more accessible while maintaining the same level of strategic guidance and proposal quality.

Additional Resources

See solicitation on sam.gov

DARPA Track at Big Distances with Track-Before-Detect (TBD2)

Executive Summary:

DARPA’s Strategic Technology Office (STO) is funding the Track at Big Distances with Track-Before-Detect (TBD2) program to develop advanced algorithms and payload designs for real-time space situational awareness in cislunar space. Selected teams may receive multi-million-dollar OTAs to build prototypes over a 15-month effort. Abstracts are due December 4, 2025, and companies should begin preparing materials now to meet the deadline.

How much funding would I receive?

DARPA anticipates multiple OTA prototype awards ranging from approximately $500K to $5M+, depending on technical scope, cost realism, and contribution to program goals. Larger awards are possible for high-complexity payload and algorithm development efforts.

What could I use the funding for?

1.Background

The goal of the TBD2 program is to enable continuous space-based detection and tracking of objects in cislunar space on relevant timelines. This effort will increase the safety of cislunar commercial and civilian traffic contributing to the peaceful use of space for the benefit of all nations and enabling a sustainable space ecosystem. To accomplish this, TBD2 seeks to advance the state of the art for signal processing algorithms so that when combined with commercial off-the-shelf (COTS) or quasi-COTS optical sensors and/or focal plane arrays (FPAs), they can a) detect and track faint objects at gigameter (Gm) distances, b) operate using available onboard processing capabilities, and c) do so on relevant timelines (within hours).

Figure 1: TBD2 seeks to extend space situational awareness beyond GEO to cislunar space

Existing space situational awareness (SSA) capabilities are primarily focused on objects in geosynchronous orbit (GEO) or closer. Extending SSA to cislunar space presents unique challenges as the distances are much greater and the volume of space needing to be scanned is ~1,200 times greater than GEO. Ground-based systems can combine large optics with complex, resource-intensive algorithms to enable cislunar detections, but are limited by their fixed location on the ground, inability to detect or track objects during hours of sunlight, and having to contend with weather and the Earth’s atmosphere. TBD2 seeks to solve this by moving the sensor to space, specifically to the Sun-Earth Lagrangian point 1 (SEL1) in order to negate any blinding of the sensor by the sun and enable a continuous view of most of cislunar space via a single sensor. To achieve this, TBD2 will require a novel approach to signal processing to detect faint objects (magnitude 23) at distances up to 2 Gigameter (Gm), while also minimizing processing time to the point that all cislunar space can be scanned within 12 hours. For a sensor at SEL1, sending image data to the ground for processing would require a continuous high-rate downlink that is impractical, if not infeasible, due to limitations in bandwidth, latency, energy budgets, and relative positions of the sensor and Earth. Therefore, TBD2 aims to develop or adapt signal processing algorithms that can be run in quasi-real time via onboard processing.

In addition to signal processing, TBD2 will also develop two distinct payload designs that optimize the combination of the signal processing with sensors/space-based compute platforms for two distinct scenarios: SEL1 and beyond GEO orbits. While SEL1 is of particular interest, alternate employment options could potentially enable a closer view of certain cislunar areas while also allowing for the detection and tracking of <1-meter objects that could endanger government, commercial or civil space operations. TBD2 will have three final deliverables:
1. The low complexity algorithm software implementation

2. Two payload designs that include the optics/sensor and compute platform combinations to be used for:

a. placement in SEL1.

b. placement in beyond GEO/cislunar orbits.

If successful, TBD2 will improve early warning capabilities for defense and civilian agencies who track potential threats and objects of interest originating from or transiting cislunar space, contributing to the safe and peaceful use of space for all nations. The fully developed signal processing algorithms capable of meeting program metrics and program goals and payload designs approved through Systems Requirements Review (SRR) constitute the Prototypes developed under the TBD2 Program.

TBD2 is a 15-month single-phase effort with two tasks.

Task 1 is to reduce the computational needs (and associated power consumption) of signal processing algorithms needed to detect faint moving objects at distances of millions of kilometers (km), and

Task 2 is to develop a payload design trade study that optimizes quasi-COTS sensors, onboard processors, and algorithms to achieve overall TBD2 goals.

1.2. Program Description/Scope
While many limitations of current approaches for cislunar SSA can be mitigated by placing sensors far from Earth (such as at SEL1), this introduces several technical challenges. Primarily, detecting and tracking faint moving resident space objects (RSOs) of 1 meter from SEL1 requires sensitivity levels capable of detecting objects as faint as 23 visual magnitude.

Achieving such sensitivity with quasi-COTS optics/sensors requires carefully optimized signal processing algorithms, which would traditionally be run via terrestrial compute platforms.

One theoretical path to achieving high sensitivity is through long integration times, stacking hundreds or thousands of image frames to boost signal-to-noise ratio (SNR), but this approach introduces latency which undermines achieving detection within appropriate timelines. While current synthetic tracking and track-before-detect algorithms can theoretically reach these sensitivities, they are computationally expensive—requiring around 300 Trillion Floating-Point Operations Per Second (TFLOPs) (FP32) to operate effectively from SEL1 with limited SNR loss. Addressing this compute need without compromising performance is the main goal of the TBD2 program.

There are several algorithms, generally belonging to the Track-Before-Detect family of Algorithms (TBDAs), developed for or adapted to the detection of faint moving objects in deep space – including near-Earth asteroids, main belt asteroids, and cislunar RSOs. While some methods linearly scale with the number of frames, pixels, and motion hypotheses, alternative strategies may yield sublinear or logarithmic scaling in some dimensions. TBD2 encourages the development of such efficient architectures to enable quasi–real-time onboard detection capability while also maintaining adequate performance.

TBD2 actively encourages exploration of innovative techniques, including but not limited to:

• Coarse-to-fine search methods (e.g., motion-aware pyramidal stacking).

• Radon transforms and their efficient approximations such as the Fast discrete X-ray Transform (FaXT).

• Probabilistic voting schemes to prune velocity hypothesis space over time.

• Techniques developed in the broader Infrared Search and Track (IRST) community combined with cislunar SSA algorithms to reduce complexity, e.g., exploiting their capability of treating hypothesized trajectories stochastically and pruning them early keeping complexity bounded, and their capability to operate at low SNR.

• Multi-sensor per platform designs, as multiple telescopes lower revisit time and reduce computational needs by reducing the number of pictures, shortening integration time, and reducing the number of hypothesized velocities.

DARPA is interested in the performance of TBD2 algorithms in several areas, and the government will provide data sets to test each of these areas individually as well as together. Some of the data sets provided will be real data from an optical sensor, others will be partially synthetic (i.e., real data with fake moving objects added to the data), and others will be totally synthetic data sets.

Data sets will be provided to each performer for “practice” with their approach, while additional data sets will be used for evaluating the algorithms. In general, the number of data sets provided for "practice" will not be sufficient for training Artificial Intelligence (AI)/Machine Learning (ML) algorithms, so AI/ML proposers are responsible for the training of their algorithms. If requested, the government team can provide guidance to each team on how to insert their own “fake” objects for training AI models. It is expected that, over the program period of performance, thousands of data cubes will be analyzed to collect performance statistics. The government has not finalized the data format yet, and the final data format may address discussions between selected performers and the government team.

At the midpoint and conclusion of the period of performance, performer algorithms will be evaluated on a government team-hosted platform to assess accuracy of detection and tracking of dim targets of various magnitudes and required computational power for quasi real-time execution. Each performer will need to provide an executable code that will be run on a common computer they will have access to. At the midpoint and final evaluations, approaches will be evaluated according to the program metrics (Section 1.5), but additional attributes will also be considered:

• Sensitivity vs. integration time tradeoffs.

• Peak TFLOPs and memory (gigabytes) required to store and process intermediate results.

• Astrometric accuracy (comparing output to limits imposed by optics, point spread function (PSF), and photon statistics; RSO velocity estimation accuracy, etc.).

• Weight and rough order of magnitude (ROM) cost of payload and bus.

In addition to the signal processing approaches, performers will be expected to develop two distinct payload designs: one for employment at SEL1, and another for employment in a beyond GEO/cislunar orbit. While SEL1 may be a good location to perform continuous cislunar SSA of ~1m sized RSOs, it is important to also explore additional options, such as orbits beyond GEO and around EMLs (Earth-Moon Lagrangians). These orbits offer closer views of the Moon and the Earth-Moon corridor thus allowing detection and tracking of smaller objects of magnitude 23 (10-20 cm at 200,000-400,000 km), as well as covering the remaining part of cislunar space that is obstructed from SEL1.

Four possible missions for the placements of a few TBD2 sensors include:

1. Monitoring the Earth-Moon corridor

2. Monitoring lunar orbits, including EML1 and EML2

3. Monitoring medium earth orbit (MEO)/GEO orbits

4. The small part of cislunar space that has an obstructed view from SEL1

The payload designs should suggest optimal optics and sensor, algorithm, and compute platform combinations for use at SEL1 and these additional orbits. Pursuing a single payload solution (optics and sensor plus compute platform combination) for the four cislunar missions identified above is strongly encouraged. These payload designs should consider aspects such as:

• Number of telescopes, optical aperture size, and sensor parameters

• SNR detection regimes (background-limited vs. read-noise-limited)

• Platform requirements for imaging at various integration times

• Required computational needs

• Consumed power

• Estimate of payload size, mass, power requirements

• Weight, power consumption, and ROM cost of payload and bus

For the payload design, factors such as payload mass and power consumption are of critical importance. For example, multi-sensor per platform designs are of interest as multiple telescopes reduce the number of pictures and shorten integration time, thus lowering revisit time and reducing the number of hypothesized velocities. Any proposed multi-telescope options would need to quantifiably justify the performance increase at the cost of mass and volume.

The payload designs will be evaluated near the end of the 15-month period of performance via a Systems Requirements Review (SRR) with the government team. This SRR will include examination and evaluation of the functional and performance requirements designed for the individual components (signal processing, computer platform, sensor) and overall payload of the two employment scenarios. The intent is that at the conclusion of the TBD2 program, the SRR-approved payload designs can be used to proceed with the initial system design by a transition partner.

Overall, at the completion of the 15-month period of performance for TBD2, the government’s expectation is to have prototypes of the fully developed signal processing algorithms capable of meeting program metrics and program goals and payload designs that have been approved through SRRs. This will pave the way for designing and building the payload after the end of the program.

Are there any additional benefits I would receive?

Beyond funding, TBD2 awardees gain significant strategic and reputational advantages:

DARPA Validation and Credibility:
Selection under DARPA’s STO signals exceptional technical capability and strategic relevance in defense and space innovation—often accelerating follow-on funding, partnerships, and investor confidence.

Enhanced Market Visibility:
DARPA-funded projects receive national-level attention in defense and aerospace circles, elevating recipients’ profiles as leading-edge space technology providers.

Ecosystem Access:
Participants collaborate with top experts in signal processing, optical sensing, and SSA, building direct connections to DoD transition partners and primes seeking flight-ready technologies.

Nondilutive Growth and Exit Value:
Because TBD2 is nondilutive federal funding, awardees retain IP ownership (with limited government-use rights), strengthening their valuation and commercial leverage for future acquisitions or private investment.

What is the timeline to apply and when would I receive funding?

• Abstracts Due: December 4, 2025, 12:00 PM ET

• Oral Presentation Invitations: by government request, estimated four weeks after abstract submission.

• Awards Announced: Early 2026

• Program Start: Upon award of OTA (15-month duration)

  Funding is typically issued shortly after OTA negotiation and execution, following DARPA’s oral presentation evaluations and selections.

Where does this funding come from?

Funding is provided by the Defense Advanced Research Projects Agency (DARPA) under its Strategic Technology Office (STO) through Other Transaction Agreements (OTAs) authorized under 10 U.S.C. § 4022 for prototype projects.ds.

Who is eligible to apply?

Eligible applicants include:

• Large and small businesses

• Nontraditional defense contractors (per 10 U.S.C. § 3014)

• Academic and research institutions (per 15 U.S.C. § 638(e)(8))

What companies and projects are likely to win?

DARPA will prioritize teams that demonstrate:

• Proven expertise in signal processing, AI/ML, or SSA algorithms.

• Ability to run real-time detection on space-qualified compute platforms with limited power (≤600W).

• Designs that integrate quasi-COTS optics and sensors with innovative onboard processing.

• Clear performance metrics and feasible payload trade studies for SEL1 and beyond-GEO orbits.
  Collaborations between algorithm developers, optical engineers, and hardware integrators are strongly favored.

1.5. TBD2 Goals, Metrics, and Constraints

The objective of TBD2 is to enable continued space-based detection and tracking of objects in cislunar space within appropriate revisit timelines, thereby increasing the safety of cislunar commercial and civilian traffic and contributing to the peaceful use of space for all nations. The proposed concept is to place optical sensor(s) beyond GEO and use algorithms with reduced computational needs that run on available onboard processing to achieve this, and the program metrics are focused on key parameters for achieving space situational awareness. This includes metrics for detection range and sensitivity, revisit times, and onboard processing power consumption, combined with the ability to achieve positive detections while minimizing the chance of false detections.

In addition to the metrics, several constraints are provided in order to guide proposer solutions. The first constraint is that performers should assume a value of 20% albedo or less (i.e. assume no more than 20% of light is reflected from the RSO’s surface) for all potential RSOs. The second is to have performers assume that their processing time must be equal or less than the integration time when developing their payload trade studies. The third constraint limits any proposed optical aperture to a maximum diameter of 0.5 meters.

Are there any restrictions I should know about?

• All work must be unclassified.

• Cost-sharing may be required only for traditional defense contractors without nontraditional partners.

• Export-controlled technologies must comply with U.S. export laws (ITAR/EAR).

How long will it take me to prepare an application?

For a first-time applicant, preparing a competitive abstract will likely take 40–60 hours in total.

How can BW&CO help?

Our team specializes in complex federal R&D proposals and can:

• Triple your likelihood of success through proven strategy and insider-aligned proposal development

• Reduce your time spent on the proposal by 50–80%, letting your team focus on technology and operations

• Ensure you are targeting the best opportunity for your project and positioning your company for long-term growth.

How much would BW&CO Charge?

Our full service support is available for the Abstract for $4000. Assistance with Oral Presentation quoted upon invitation.

Fractional support is $300 per hour.

For startups, we offer a discounted rate of $250 per hour to make top-tier grant consulting more accessible while maintaining the same level of strategic guidance and proposal quality.

Additional Resources

View the Solicitation here.