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EXOANALYTIC SOLUTIONS INC

Address

27042 TOWNE CENTRE DR STE 250
EL TORO, CA, 92610-2811
USA

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UEI: DGB4YJSKHM25

Number of Employees: 133

HUBZone Owned: No

Woman Owned: No

Socially and Economically Disadvantaged: No

SBIR/STTR Involvement

Year of first award: 2010

Phase I Awards

Phase II Awards

56.67%

Conversion Rate

$3,809,240

Phase I Dollars

$18,688,674

Phase II Dollars

$22,497,914

Total Awarded

Awards

Up to 10 of the most recent awards are being displayed. To view all of this company's awards, visit the Award Data search page.

Transportable Lasercom Ground Station

Amount: $1,249,945 Topic: SDA24-P001

ExoAnalytic is proposing to lead development of the Rapidly Relocatable DSO Demonstrator (R2D2), where we will identify and complete initial integration steps for a transportable lasercom capability. ExoAnalytic will leverage our extensive experience in observatory design, observatory operation, sensor command and control, as well as precision pointing to execute the design and future transportability of this lasercom ground station. Working with Subject Matter Experts (SMEs) from PlaneWave Instruments and HartSCI, the team will demonstrate the ability to track satellites with the accuracy required for lasercom and the transmit/receive capability for a prototype ground station. Further work with SME from the Space Development Agency will ensure required communication protocols and tracking orbits of interest are identified and designed towards. At the conclusion of this effort, the team will have demonstrated the key technical components to a transportable lasercom ground-station and developed the roadmap for rapid acquisition and deployment of such a system.

SBIR

Phase II

2024

DOD

SDA

Artificial Intelligence/Machine Learning (AI/ML) Battle Management for Rapid, Interactive Weapon Selection

Amount: $149,898 Topic: MDA241-012

Threat missile systems are evolving in type, volume, and capabilities. Current missile defense programs rely on Kinetic (K) kill weapons and various sensors such as ground-based radars, sea-based radars, and Electro-Optical and Infrared (EO/IR) sensors on aircraft and spacecraft to defend against the evolving threats. Kinetic weapons are limited by available interceptor numbers, engagement volume, and time to intercept potentially limiting the CommanderÆs battle plan options. To increase our defense capabilities, Non-Kinetic (NK) weapons, also known as Directed Energy (DE), will be integrated into the Missile Defense System (MDS). These new NK weapons will bring game changing speed-of-light kill capabilities to the MDS. While NK weapons are game changers, they are not without their own limitations. Weather conditions can degrade NK weapon effectiveness which must be a consideration for the MDS and Commanders in planning and executing engagements. To address this complex battlespace, the Commander will need new tools for situational awareness, weapon selection, and rapid decision aides for real-time assessment and execution. ExoAnalytic Solutions (ExoAnalytic) is proposing an integrated Artificial Intelligence (AI)/Machine Learning (ML) approach that blends the speed and optimization advantages of deep reinforcement learning with the human understandable advantages of probabilistic-based reasoning. The system will be fast and accurate but include the human in the loop in a telegraphic and rapid-feedback manner allowing commanders the opportunity to rapidly assess multiple battle plans updated over time as the battle evolves. Approved for Public Release | 24-MDA-11906 (16 Sep 24)

SBIR

Phase I

2024

DOD

MDA

Spacecraft Proximal Intent Notifications for Navigation Assurance and Knowledge-Enabled Resiliency

Amount: $149,930 Topic: SF233-0007

The environment in which space traffic persists is becoming ever increasingly operationally dynamic. It is no longer sufficient to provide answers to the question of where resident space objects (RSOs) are located and where natural motion will take them, the realm of space situational awareness. Nor is it significantly more tactically foolproof to systematically answer the question of where such objects will be headed given an understanding of expected mission profiles, arguably space domain awareness (SDA). Rather, we must seek answers to a more wholistic set of queries. Why are certain RSOs positioned in a region? What will a given object be doing next and with what indicators? What capabilities and behaviors are expected over the course of a day, a week, or a month? What are the potential risks in terms of hardware, programs, or geopolitics? These deeper inquiries rely on a multidomain understanding of mission profiles and warrant a closer look at the traditional algorithms of statistical inference employed in questions of orbit determination. To further the challenge at hand are the complexities of the modern operational picture. With frequent commercial and international launches, new hardware technologies being deployed, autonomous maneuvering, and fast strides in the domain of software and cybersecurity, the pace of information flow threatens to render obsolete traditional methods of RSO encounter analysis. While target tracking has seen the proliferation of a variety of vary capable algorithms, a particular challenge remains in the practical application of ever-sophisticated approaches to statistical reasoning: the imperfect characterizations of dynamical system uncertainty. Where there is purely random phenomena involved, aleatory uncertainty provides a perfect description of the behavior and the probabilistic assumptions are satisfied. In the presence of systematic errors, epistemic uncertainty, it is, however, not uncommon for certain methods to show a more delicate side to their construction. More succinctly, it is becoming necessary for the random, aleatory, component of Bayesian reasoning to be fused with the systematic errors, epistemic uncertainty, surrounding common spacecraft “behavioral” profiles. Drawing from our commercial SDA offerings, and with an aim to both enable faster decision making for the modern operator and in so doing, add a further degree of resiliency to spacecraft mission execution, ExoAnalytic Solutions proposes the Spacecraft Proximal Intent Notifications for Navigation Assurance and Knowledge-Enabled Resiliency (SPINNAKER) effort. By providing data-driven intent alerts and analytics to support informed decision making in the space operational environment, a comprehensive domain understanding can be more greatly leveraged in joint command and control efforts to ensure mission responsiveness on tactical timelines and pave the way for robust, resilient autonomous spacecraft capabilities.

SBIR

Phase I

2024

DOD

USAF

ExoAnalytics ChatTTP

Amount: $179,947 Topic: AF242-0002

Large language models (LLMs) and natural language processing are rapidly evolving and expanding fields. Tools developed utilizing LLMs are increasingly effective across multiple domains. The use of a network of LLM-based agents to improve in-theater communications for operators, pilots, and autonomous vehicles is an important emerging area of investigation.ĀĀOperator-like agents using LLMs and natural language processing to perform functionally defined roles will allow the development of a low-cost, realistic, and configuration-controlled training environment for in-theater communications. This capability will make possible the instruction of autonomous vehicle operations over secure voice or natural language text-based communications, improving integration between crewed and autonomous systems.ĀFor Phase I, ExoAnalytic's ChatTTP will provide an end-to-end framework that allows operators the ability to instruct networks of agents to perform various communications and TTPs for theater operations.ĀThis framework will provide a base agent for each operator position defined for theater operations trained on their specific functions using documents related to the specific role. The Phase I delivery will be a prompt-based graphical user interface (GUI) which provides communication logs between agents based on the scenarios given and a containerized package of agents.

SBIR

Phase I

2024

DOD

USAF

Rapid Integration of Models and Simulations (RIMS)

Amount: $189,921 Topic: SF233-0016

The capabilities offered by the United States Space Force (USSF) play a crucial role in enabling terrestrial operations and “mosaic warfare,” characterized by non-homogenous, multi-domain system architectures executing joint operations. With the responsibility to organize, train and equip, the USSF has begun looking for new ways to design, document, and evaluate future force designs. A common issue in the space analytic community is the disparity in analyses leads to differing conclusions, since the analyses start from inconsistent assumptions and understanding of operations and system interactions. Systems Modeling Language (SysML) modeling is becoming the standard means for documenting and communicating those operations, providing the required baseline for the analysis of space impacts to terrestrial warfighters. However, these models need to be quickly and efficiently incorporated into simulations for running them and performing analysis. For this purpose, ExoAnalytic Solutions (Exo) is proposing Rapid Integration of Models and Simulations (RIMS). RIMS is an automated translation capability from SysML to other agent-based simulation tools, starting with Advanced Framework for Simulations (AFSIM) and Simulation in Python for Space Entities (SPySE). These tools are widely used throughout the military space analytic community, and so will benefit multiple organizations for rapid and accurate instantiation of SysML models into simulation tools. Phase I of this project will be done in four main steps: 1) Select a kill web as the use case to prove the capability, 2) model the use case in SysML, 3) simulate the use case in AFSIM, and 4) create a design for the SysML-AFSIM translator. Exo is a leading expert in military space analytics and has recently pioneered SysML interfaces with SPySE and AFSIM for different wargaming and analytic applications. Exo will bring this tremendous capability to bear to benefit the entire space community.

SBIR

Phase I

2024

DOD

USAF

Countering Cyber and RF Threats to National Security Space Systems

Amount: $149,945 Topic: OSD234-P002

The ability to recognize, understand, characterize, and visualize the cyber and radio frequency (Cyber/RF) warfare environment in space is a prerequisite for creating actionable intelligence, enabling critical decisions, and creating operational advantage to counter devastating cyber intrusion and RF disruption of national security space assets. Cyber/RF engagements in space require position and alignment parameters, exquisite timing, and appropriate onboard sensors for both target and aggressor spacecraft. The effects of operating in space are visible through phenomenological signature changes such as photometric effects from reorienting a spacecraft and RF Doppler or modulation shifts based changes to onboard modes of operation. While invisible in cyberspace, varying degrees of observability of space offer an opportunity to provide indications and warning (I&W) prior to a Cyber/RF engagement. As a multi-phenomenology, persistent global monitor of the space domain with an established history in modeling and simulation (M&S) and battlespace visualization, ExoAnalytic Solutions (Exo) is uniquely postured to use its World-class observability of the space domain against this problem set. Exo’s cutting-edge optical tracking and passive RF capabilities feed real-time data to advanced analytical and visualization technologies supporting warfighters in decision-making. Exo will create a Cyber/RF threat profile ontology that maps specific observable satellite actions to the Cyber/RF threat continuum, identifying actions that must be or likely will be taken to execute a threat behavior and observable conditions those actions will create. Spacecraft behaviors that may appear ordinary or routine could be indicators of threat activity when viewed in a Cyber/RF threat context. Mapping the indicators to the range of Cyber/RF behaviors will form the context from which an alerting matrix can be established. Exo will create weighted alerts for each Cyber/RF threat behavior by considering observable data at scale, across spacecraft and their surrounding environments, across time, and using multiple phenomenologies. Instead of creating alerts from scratch, the Cyber/RF threat profile ontology will be overlaid on Exo’s automated alerting system (ExoALERT) to contextualize standard activity recognition algorithms that already include a wide range of observable events such as maneuvers and orientation changes. Exo will then use its SPySE threat visualization platform to model the created ontology’s execution against simulated data. Exo will simulate Cyber/RF behaviors to test the alerting system’s effectiveness in responding correctly and efficiently to Cyber/RF engagements.

SBIR

Phase I

2024

DOD

SCO

ExoCHAT

Amount: $74,886 Topic: AFX245-PCSO2

Our proposal introduces ExoChat, a groundbreaking project that revolutionizes space domain awareness (SDA) through the integration of cutting-edge technologies resulting from Microsoft's collaboration with OpenAI. Harnessing the power of Language Learning Models (LLMs) and cloud computing infrastructure provided by Microsoft Azure, ExoChat will develop an advanced chat interface. This interface will enable natural language interaction with SDA data, facilitating seamless querying, analysis, and interpretation of complex datasets. By leveraging the state-of-the-art capabilities of LLMs, ExoChat will empower users to derive real-time insights and predictive analytics for critical space events. Critical space events encompass a range of scenarios that require vigilant monitoring and analysis for effective space domain awareness. These include conjunctions, where objects in space come close to each other, posing collision risks; close approaches, where objects pass near Earth or other celestial bodies; satellite anomalies, indicating technical issues or external interference; orbital decay, leading to the eventual re-entry of satellites or space debris; and more. Vigilant monitoring and timely response to these events are essential to ensure the safety and sustainability of space activities. Additionally, we will optimize data workflows to ensure the efficient integration of updated SDA data into the ExoChat interface. Through rigorous technical validation and collaboration with stakeholders, including Space Force Guardians and commercial satellite operators, we will validate the technical feasibility and efficacy of ExoChat. Our iterative improvement strategy will leverage continuous user feedback and technological advancements, ensuring ongoing enhancements to ExoChat. Leveraging established industry relationships, we will ensure ExoChat aligns closely with user requirements. ExoChat represents a transformative leap in SDA, fostering enhanced situational awareness and informed decision-making in the dynamic space domain.

SBIR

Phase I

2024

DOD

USAF

Framework for Automated Target Engagement Scheduling (FATES)

Amount: $139,863 Topic: N241-037

In the ever-evolving landscape of modern naval warfare, maritime forces require increasingly sophisticated combat systems to successfully engage and destroy air and missile threats across multiple defense layers. As our adversaries continue to make rapid advancements in missile technology, our traditional systems for defending against such potential assaults are becoming challenged. The launch sequences, trajectories, electronic countermeasures (ECMs), and movement capabilities of incoming threats are often uncertain and thus require quick and decisive action to thoroughly neutralize. For example, some state-of-the-art hypersonic weapons such as glide vehicles (HGVs) and cruise missiles can travel at speeds up to Mach 20 in the lower atmosphere while maneuvering en route to their intended target. Additionally, unmanned aerial vehicles (UAVs) are an evolving threat and these drones often travel in swarms and thus can be difficult to successfully track and engage. Currently, the Navy’s Ship Self-Defense System (SSDS) relies on explicit solutions to generate weapon-target assignment (WTA) schedules in the face of incoming strikes. While adequate for known threat types, such techniques may not be sufficient for more complex engagements. Given these challenges, it is imperative to develop an automatic assignment system for the SSDS which maximizes weapon scheduling efficiency and success against incoming target raids when explicit results are not viable. To this end, ExoAnalytic Solutions proposes to create the Framework for Automated Target Engagement Scheduling (FATES). The first element of this formulation is the Weapon-Target Graph Database which captures known and uncertain interconnected weapon-target data. A key feature of this database is its ability to represent uncertainty in the data and make probabilistic inferences. The second component of FATES is the Weapon-Target Opportunity Evaluator which queries the database in real-time, dynamically calculates the shot opportunities, predicts the effectiveness of each weapon-target pair, and updates the Graph Database. The third component of FATES is the Weapon-Target Assignment Model which itself consists of two parts: the problem formulation and optimization method. The problem formulation establishes the objective function to be minimized subject to mission objectives and resource constraints while the optimization algorithm determines the optimal solution. Such results guide the SSDS engagement schedule and aid in optimizing the SSDS weapon deployment timeline to maximize ship survivability.

SBIR

Phase I

2024

DOD

NAVY

Target Recognition and Acquisition in Complex Environments (TRACE)

Amount: $1,972,670 Topic: HQ085021S0001-07

Our adversaries have evolved beyond conventional ballistic missile systems to developing and deploying advanced systems that travel long ranges at hypersonic velocities with the capability to maneuver to avoid detection from terrestrial-based sensor systems. These advanced threats were developed specifically to counter terrestrial sensors, making birth-to-death tracking extremely difficult due to limitations of available operational locations, creating known coverage gaps. These coverage gaps can be exploited by hypersonic, maneuvering threat targets. The sensor track coverage problem can be addressed with space-based sensors. Given enough space vehicles with tracking sensors, birth-to-death tracking is feasible. Emerging signal chain processing algorithms will support meeting mission and system performance requirements. The algorithms will enable recognizing and discriminating fast moving, maneuverable targets from decoys and clutter in complex scenes that overhead persistent infrared (OPIR) sensors capture from space. ExoAnalytic Solutions will demonstrate low-latency acquisition and tracking of highly maneuverable targets in complex environments. Our robust modeling and simulation framework, along with algorithms previously developed under HBTSS and other space and missile defense programs, provides the basis for design of an open framework algorithm architecture in which algorithms for target recognition, acquisition, and tracking will be tested. For Phase II, the three technical objectives are to enhance the background scene generation tool developed during Phase I, upgrade the Offset Pole Axis Meridian-Parallel (OPAMP) algorithm for off-nadir pointing in the orbital plane, and enhance the object classification and reachable volume method. The approach during Phase II is to add fidelity and perform verification and validation (V&V) of the methods/algorithms developed during Phase I in order to prepare them for insertion into the tracking layer.

SBIR

Phase II

2024

DOD

SDA

HEADS (High-Rate Event-Based Attitude Determination System)

Amount: $149,918 Topic: AF222-0010

There is a need for low cost, low SWAP, high accuracy, continuous attitude determination for space vehicles. HEADS will enable the by utilizing COTS event cameras and ExoAnalytic Solutions, Inc.’s extensive experience. In Phase I, HEADS will determine the feasibility of an event-based star tracker. HEADS will address the need for attitude determination solutions in by leveraging the tracking and star registration experience of ExoAnalytic Solutions, Inc. and the unique capabilities of event cameras.

SBIR

Phase I

2023

DOD

USAF