January 01, 2024
Recommended:
The competitions for SBIR/STTR Phase I and Phase II awards satisfy any competition requirement of the Armed Services Procurement Act, the Federal Property and Administrative Services Act, and the Competition in Contracting Act. An agency that wishes to fund an SBIR/STTR Phase III award, which arises from, extends, or concludes a prior Phase I and/or Phase II award, is not required to conduct another competition for the Phase III award in order to satisfy those statutory provisions.
Moreover, in a bid protest, the General Accountability Office (GAO) found that the government (including Contracting Officers and Program Managers) have broad discretion in determining what work arises from, extends, or completes prior Phase I/II work. Once the government decides that the work is a Phase III, competitors may not file a protest. Learn why here.
Market Survey (also Market Research) for Awarding Phase III SBIRs to Forward Edge-AI
Contract # and Topics | Scope | Technology Key Words | Portfolio |
Title: Cyber Assured Space Internet Device (CASI-D)
Type: Phase I SBIR
Award# Award ID 2327618
Topic: N/A
Topic Number: N/A
Phase I Solicitation: NSF 23-515
Recognitions: N/A | Develop a blockchain/DLT to ensure the provenance, integrity and quality of space-based Machine Learning algorithms and associated training data (counter adversarial Artificial Intelligence). | Adversarial Artificial Intelligence (AAI), AI, Blockchain/DLT, Counter Adversarial Artificial Intelligence, CubeSat, Data Drift, Deep Learning, DevSecOps, Electronic Discovery, Internet, Physics-Based Models, Model Drift, Space, Space-Based Manufacturing, Training Data Provenance, Trustworthy Artificial Intelligence, Validity and Reliability, Safety, Security and Resiliency, IPV6, Identity Management (ICAM), Accountability and Transparency, Explainability and Interpretability, Privacy, Fairness with Mitigation of Harmful Bias, Model Drift, Poison Data |
|
Type: Direct to Phase II
Contract #: FA810024C0003 Award Date: March 08, 2024
Topic: Field-level Detection of Hydraulic Fluid Contamination in Jet Fuel
Topic Number: AF233-D010
Phase II Solicitation: SBIR 23.3 BAA
Agency Link: : https://www.defensesbirsttr.mil/SBIRSTTR/
Recognitions: N/A
| To develop an artificially intelligent instrument capable of detection and quantification of chemical contaminates in jet fuel in remote, limited environments. If we are successful, tests can be performed in the field in minutes and at one (1) cent per sample versus $300 - $2,300 per sample, even when logistics are contested. | Artificial Intelligence (CNN/RNN), Android ATAK, Federated Learning Marketplace, Machine Learning, Microsoft Azure, signal processing (Wavelet and Fourier transformation), Raman Spectroscopy
Contested logistics (fuel and water quality testing), Chemical, Biological, Radiological, and Nuclear (CBRN) detection, explosives detection, Expeditionary Environments | |
Type: Phase I SBIR
Contract# N6833524C0170 Award Date: 12/21/2023
Topic Number: N234-P02 NAVAIR
Phase I Solicitation: Navy 23.4
Agency Link: https://www.navysbir.com/23_4-selections.html
Recognitions: N/A | Enhance mission capabilities of USV/UUV and systems in contested environments including command, control, communications, computer, intelligence, surveillance, and reconnaissance (C4ISR)
OUSD (R&E) CRITICAL TECHNOLOGY AREA(S), Advanced Computing and Software; Integrated Sensing and Cyber; Trusted AI and Autonomy
| Artificial Intelligence (Anomaly Detector, Deep Reinforcement Learning Agent), beam steering antenna, Counter Electronic Warfare, Encryption, cybersecurity, Frequency Hopping, 5G, Low Probability of Detection/Low Probability of Interception (LPD/LPI), neuromorphic processor, physics-based models, phased array antenna, quantum resistant, Radio Frequency (RF), SATCOM, Software Defined Radio, Zero Trust, USV/UUV, Autonomy, Command, Control, Communications (C3), C4ISR, Contested Logistics, Cyber Security, Distributed Sensing and Communications (DSaC), Telecommunications. Includes compatibility with NATO and coalition partner systems, Simulations, 3GPP, O-RAN, UMV, UMA, UMAA | |
Type: Phase I and Phase II SBIR
Phase I Grant # AN 1938135 Award Date: 10/01/19
Phase II Grant # AN 2028451 Award Date: 12/01/21
Topic: N/A (National Science Foundation does not use topics)
Phase I Solicitation: NSF 23-515
Phase II Solicitation: NSF 23-516
Agency Link: NSF Phase I: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1938135&HistoricalAwards=false
Recognitions:
| Conduct R/R&D to develop AI software to detect and stop vishing and smishing attacks (cyber security) and secure telecommunication channels
Work included business and digital transformation of Federal Communications Commission and Federal Trade Commission complaint filing processes
Project used blockchain to protect the governance of Machine Learning Algorithms and Training Data, and also to support electronic discover (e-Discovery) for legal processes
| Analytics, Artificial Intelligence (AI) (CNN/RNN), AI Test and Evaluation, Android, Azure, AWS, Blockchain/Data Governance, Data Lake, Counter Adversarial AI, Deepfakes, Enterprise Knowledge Graph, Machine Learning, Microsoft Azure, Large Language Models (Generative AI (GAI)), Honeypots, Intelligent Automation, iPhone, Predictive Analytics, Robotic Process Automation, Semantic Reasoning, Ethical AI, Trustworthy AI, Responsible AI, Data Engineering, Data Governance, Training Data, Validity and Reliability, Safety, Security and Resiliency, Accountability and Transparency, Explainability and Interpretability, Privacy, Fairness with Mitigation of Harmful Bias, Model Drift, Data Drift, Cybersecurity, Digital Transformation, Financial Systems/Fintech, Electronic Discovery, Fraud Prevention, Misinformation, Disinformation, Malinformation, Identity Management (ICAM), Telecommunications, Trusted AI, Adversarial AI
Note: Patent awarded (US 11,689,660 B2) for Enterprise Knowledge Graph, Data Governance, and Robotic Process Automation | |
Type: Phase I and Phase II STTR
Topic: Open Topic
Phase I Contract #: FA864923P0397 Award Date: 11/07/22
Phase II Contract# FA864923P1259 Award Date: 09/13/23
Phase I Solicitation: F4BEQ2245A0NE
Phase II Solicitation: F4FBEQ3241A020
Agency Link: N/A
Recognitions: N/A | Conduct R/R&D for a low-cost quantum-resistant Communication Security (COMSEC) device for on-orbit CubeSats and orbital robots (orbots)
| Artificial Intelligence (Anomaly Detector, Deep Reinforcement Learning Agent), Counter Adversarial AI, Encryption, cybersecurity, neuromorphic processor, physics-based models, quantum resistant, Radio Frequency, Responsible AI, SATCOM, Zero Trust |
|
Type: Direct to Phase II SBIR
Topic: Open for Cyber Security
Phase II Contract#: FA864923P0006 Award Date: 12/21/22
Phase II Solicitation: F4FBEQ2245A0GU
Agency Link: N/A
Recognitions:
| Conduct R/R&D for a low-cost quantum-resistant encryption device
| Artificial Intelligence (Anomaly Detector), Counter Adversarial AI, Encryption, cybersecurity, ICS/SCADA, IoT, IIoT, Military IoT, physics-based models, quantum resistant, Zero Trust | |
Type: Phase I STTR
Topic: Open for cyber security
Phase I Contract#: FA864923P0345 Award Date: 11/02/22
Phase I Solicitation: F4FBEQ2245A0DV
Agency Link: N/A
Recognitions:
 | Conduct R/R&D for a low-cost quantum-resistant encryption device for secure operation alongside foreign controlled infrastructure including 5G
| Artificial Intelligence (Anomaly Detector), Command Control (C2), C3, C6ISR, Counter Adversarial AI, Encryption, cybersecurity, 5G, 5G core, quantum resistant, Zero Trust, WIFI, Contested Communications. Executive Communications, Denied Operationally Limited (CDO-L) telecommunications, secure enclaves | |
Type: Phase I SBIR
Topic: Open Topic Artificial Intelligence
Phase I Contract#: FA864921P1006 Award Date: 04/14/21
Phase I Solicitation: FEBEQ1077A031
Agency Link: N/A
Recognitions: N/A | Conduct R/R&D for a handheld, artificially intelligent instrument for standoff detection of chemical and biological agents, and fuel quality assurance in a field setting
| Artificial Intelligence (CNN/RNN), Deep Learning, Android ATAK, Bacteria, Federated Learning Marketplace, Machine Learning, Microsoft Azure, Image Classification, signal processing (Wavelet and Fourier transformation), Raman Spectroscopy, Chemical, Biological, Radiological, and Nuclear (CBRN) detection, explosives detection, Expeditionary Environments, viruses, standoff |
|
A December 26, 2023 podcast with Kristina Botelho provides an excellent discussion of what is permissible by a government contracting officer.
A J&A is not required, but the contract file documentation should demonstrate that the government's requirement (candidate for a Phase III award) derives from, extends, or concludes efforts made under prior SBIR/STTR Funding Agreements and is authorized pursuant to 15 U.S.C. 638(r)(4). The Period Table of Acquisition Innovations is another excellent resource.
To begin the SBIR Phase III contract process, a government Program Manager (PM) or Government Technical Expert will need to document how the new work to be performed on the Phase III contract derives from, extends, or completes prior SBIR/STTR efforts. The Army calls this a Statement/Memorandum for Record (MFR) and the Air Forces calls this a Determination and Finding (DNF). An MFR/DNF Template is available here.
The Government Expert, or Program Manager, and/or the SBC must provide the narrative and lineage to prior SBIR / STTR PH I/II/III efforts. Use the information below to write the required statement for Phase III SBIR contracting with Forward Edge-AI, Inc:
Recommended Phase III Resources:
Forward Edge-AI Business Information:
UEI Number
KRCZZNY5WPZ8
DUNS Number
117079759
Forward Edge-AI's CAGE Code is 8bxh2
Forward Edge-AI Portfolio
Need Further Assistance?
Our Knowledge Academy is integrated with Generative AI (GAI) technology to answer your questions directly. Access it by tapping the purple button on the bottom right of your screen:
© 2024 Forward Edge-AI, Inc. All rights reserved.