Artificial Intelligence/Machine Learning Software Development and Integration

Request for Information (RFI)/Sources Sought Artificial Intelligence / Machine Learning Software Development and Integration Project Manager Integrated Visual Augmentation System (IVAS) The U.S. Army Contracting Command-Aberdeen Proving Ground (ACC-APG) is seeking information from industry professionals regarding Artificial Intelligence / Machine Learning Software Development and Integration. 1.0 Description The Integrated Visual Augmentation System (IVAS) provides combat Situational Awareness (SA) capability so that Soldiers/Marines can Fight, Rehearse, and Train on the same system. IVAS includes the Heads-up Display (HUD) with on-body computer as the base system along with supportive Soldier power equipment, IVAS network components, Squad Performance Model, Adaptive Squad Architecture, and SiVT components. HUD is a low profile, see through display system providing 24/7 advanced SA in all operating environments, fused day/night vision capabilities, day/night rapid target acquisition, and eye protection. IVAS provides movement of information, high level processing, and displays augmented reality information (Blue force tracking, Navigation, etc.) intuitively in three-dimensional space from mission planning data and real-time data including shared coordinate terrain data and machine learning/artificial intelligence processing enabled by tactical cloud package, shared information for mounted soldiers, "See Thru" armor, and advanced network services. IVAS uses data driven analytics to provide tactical leaders with metrics and indicators to optimize unit performance and enhance lethality. Integration through Government owned architecture enables rapid introduction of new and improved capabilities. 2.0 General Requirement 2.1 This Request for Information (RFI) is: Seeking information from industry professionals to determine their capabilities to develop and integrate Artificial Intelligence/Machine Learning (AI/ML) software solutions into Government designated Army vision systems. Being issued solely for information and planning purposes. Various concepts may be examined based upon input provided. 2.1.2 This RFI does not constitute a Request for Proposal (RFP) or a promise to issue an RFP in the future. A solicitation is not available at this time. Requests for a solicitation will not receive a response; unsolicited proposal responses to this request will not be considered as offers. Telephone requests for additional information will not be honored. This notice does not constitute a commitment by the United States Government to contract for any supply or service whatsoever. All information submitted in response to this announcement is voluntary, therefore the United States Government will not pay for information requested nor will it compensate any respondent for any cost incurred in developing information provided to the United States Government. 2.1.3 Not responding to this RFI does not preclude any vendor from participating in any future RFP, if any is issued. If a solicitation is released, it will be synopsized via the System for Award Management (SAM.gov) website. It is the responsibility of vendors to monitor this website for additional information pertaining to this requirement. 3.0 RFI Responses 3.1 General 3.1.1 Potential sources who believe they possess the qualifications, expertise and experience are requested to provide capability statements to this RFI by submitting written responses to points of contact listed below. 3.1.2 Capability statement responses SHALL NOT CONTAIN CLASSIFIED INFORMATION and shall clearly mark any proprietary information. 3.1.3 Capability statement responses shall not exceed a page limit of ten (10) pages maximum, typed in 12-point Times New Roman font, single spaced, one (1) inch margins, with appendices or attachments included in the page count. 3.2 Administrative: Responses shall include the following information: 3.2.1 Vendor's name, CAGE Code, DUNS Number, address, point of contact, phone number, e-mail address, and business size (large business, small business, small disadvantaged business, 8(a) certified small disadvantaged business, HUBZone small business, woman-owned small business, very small business, veteran-owned small business, service-disabled veteran-owned small business). 3.2.2 Vendor's NAICS code, if currently performing this type of service(s) under other contracts. Is your company currently providing similar services under any U.S. Government contracts? If yes, for which agency(s)? What is/are the contract number(s)? What is the contract type? How long has your company been providing these types of services? How long has your company provided this type of service to the Government? 3.2.3 Areas of Interest: Respondents are requested to detail their capabilities and experience (for the Government or commercial customers) with development and integration of any or all of the following AI/ML tasks: a. Machine Learning Operations (MLOps) b. AI/ML Algorithm Model Training Data Library c. AI/ML Model Library d. AI Model Maintenance Platform e. AI Enabled Target Detection Algorithms f. Multi Sensor Data Collection g. Data Ingestion and Interoperability Service h. Battlefield Data Processing i. Tactical to Enterprise Data Federation j. Federated Data Search and Discovery k. Regional Terrain Product Availability Selector l. Multi-Modal Merged Terrain Products m. Battlefield Data Conditioning n. Battlefield Data Simplification Application o. Synthetic Data Generation System p. Mixed Reality (MR) Soldier Interface q. AI Assisted 3D Reconstruction r. Machine Assisted Mission Planning s. Scaling AI Tactical Predictions Based on Red Force and Blue Force Close Combat Force Capabilities and Terrain t. AI Enabled Digital Battlefield Assistant u. Battlefield Language Translation v. Identification and Recognition of Terrain Bottlenecks and Movement Mobility Limitations Recognition of Woodland and Urban Environments w. Semantic Segmentation x. GPS Denied Navigation y. Human Machine Teaming for Unmanned Vehicle Mission Planning z. Swarm miniature Unmanned Aerial System (mUAS) for Continual Persistent Surveillance aa. Radio Frequency (RF) bb. Sensitive Site Exploitation and Battlefield Intelligence Rapid Analytics cc. Test and Evaluation Red Team 3.3 Response Submission: Responses to this notice shall be submitted to: 3.3.1 Points of Contact: Ms. Karen Gibson at Karen.gibson2.civ@army.mil and Ms. Lisa J. Yamakawa at lisa.j.yamakawa.civ@army.mil 3.3.2 Response Time and Date: Responses shall be submitted to the above stated Points of Contact no later than 10:00 a.m. Eastern Daylight Time on Friday, 18 February 2022.