MODUS OPERANDI, INC. — Department of Defense SBIR Phase II: A214-038
MODUS OPERANDI, INC. — SBIR Phase II award from Department of Defense.
Phase II SBIR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $999,954 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code A214-038 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $999,954
- Agency
- Department of Defense · Army
- Program / Phase
- SBIR · Phase II
- Topic
- A214-038
- Solicitation
- 21.4
- NAICS
- —
- Place of performance
- FL
- Period
- 2022-05-09 → 2023-05-08
Description
The Army has a need to enhance the current tactical enterprise resource planning (ERP) system, Global Combat Support System –Army (GCSS-A), to improve UX for enhanced accuracy and efficiency of data input and modernize with artificial intelligence and machine learning (AI/ML) for robust analytics and integrated mission based forecasting (MBF). The proposed Logistics Enterprise Enhancement Platform (LEEP) will reduce user cognitive workload for accomplishing tasks exacerbated by the number of steps for end-to-end business processes and memorization of multiple SAP transaction codes, improve data entry efficiency and accuracy through improved UX, and improve decision-making processes by utilizing descriptive, predictive, and prescriptive analytics. Modus Operandi, Inc., a company that provides living intelligence solutions to improve decision-making across the Department of Defense, has teamed with Tektonux LLC, a company that is revolutionizing user experience that prioritizes human purpose in a digital world, to deliver an innovative LEEP. LEEP will accurately model domain data via applied ontologies to semantically align concepts, prepare the data for optimal ML processing, and design an enhanced UX for ideal usability and function. The Phase II will design, develop and deploy a prototype capability to perform all required functions for fleet maintenance and supply chain management.