Describe a way and support with examples a way for RS21 to Grow their business.

RS21 PRODUCT ROADMAP SPAICE Space Prognostic Artificial Intelligence Custodian Ecosystem (SPAICE). A patent-pending AI-based tool that predicts satellite failures before they occur. OVERVIEW Funding Clients AFWERX Direct to Phase II SBIR with Air Force Research Labs (AFRL) Planned Phase III partnership with US Space Force (USSF), Space Test Program (STP), with matching TACFI funding What is SPAICE? SPAICE is designed for the warfighter and provides operators, engineers, and decision makers with information they need to prevent and mitigate satellite failures. SPAICE has three operational modes: Alert (Operator) Alerts operator that satellite is predicted to enter safe mode within the designated Time To Failure (TTF) window (6-36 hours) Predictive (Operator/Engineer) Surfaces details on the hazard function that led to prediction of safe mode entry Provides context and historical data Aids in attribution and analysis with explainable AI Diagnostic (Engineer) Provides analysis focused on post anomaly or safe mode entry Delivers detailed explainable AI for off-nominal and hazard function models Target Customers Satellite operations centers, manufacturers, data providers, and insurance providers both commercial and government. Intellectual Property + Proprietary Tech RS21 has a provisional patent on SPAICE and recently (May 2022) submitted a non-provisional patent application. Differentiators/Value Proposition SPAICE has a suite of supervised and unsupervised models to detect anomalies and out-of-family events - Predicts safe mode entries before FDIR threshold alerts are triggered - Reduces the time and effort needed to diagnose faults SPAICE incorporates Explainable AI (XAI) tools - Increases transparency and trust in the results enabling data driven decisions - Facilitates root cause analysis SPAICE includes a MLOps Framework which will incrementally retrain models to account for sudden changes in component performance - Reduces the need for frequent manual hyperparameter tuning User Testimonial RS21 was able to confirm the results from the SPAICE proof of concept using test satellite data with the lead engineer and decision maker. The test satellite lead engineer was able to use the tool to quickly confirm suspected causes of safe mode entry. The user team gave uniformly positive reception with follow-on discussion on how to install this with ground software. Competitor Insights RS21s approach for the supervised learning model based on survival analysis appears to be a novel capability for satellite fault prediction. The combination of supervised and unsupervised models, along with XAI tools, also appears to be unique compared to other predictive maintenance models that rely solely on anomaly detection. SPAICE C 2023 RS21 - Confidential & Proprietary PAGE 01 MARKET OPPORTUNITY Product Market + Scaling Opportunities $31B cumulative market value for space sector ground segment between 2021 and 2025, and a cumulative $67B by 2030.1 SPAICE could capture 0.05 0.1% of the market, or roughly $9.3 18.6M cumulative between 2023 and 2025. Funding Pathways Immediate: Complete Phase II SBIR ($750k) in Q4 2022 and concurrently initiate 24month Phase III SBIR - Anticipate Phase III will be on an 8(a) STARS contract which will enable other DoD customers to add funding for additional applications. - Phase III seed funding will be provided by USSF STP. Other targets for Phase III funding are described in the table to the right. - In addition, RS21 is pursuing a Tactical Funding Increase to match seed funding from STP 1 www.euroconsult-ec.com SPAICE User Interface 3 www.losangeles.spaceforce.mil 2 www.aerospace-technology.com 4 www.aegisaero.com SPAICE C 2023 RS21 - Confidential & Proprietary PAGE 02