Peosda Uxsai Synthetic Data Modeler Assessment Tender - 142585600

Procurement Summary

Country: USA

Summary: Peosda Uxsai Synthetic Data Modeler Assessment Event Ae

Deadline: 29 Jun 2026

Posting Date: 03 Jun 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 142585600

Document Ref. No.: UxSAI_Synthetic_Data_Modeler_AE

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

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Tender Details

PEO-SDA: UxSAI Synthetic Data Modeler Assessment Event (AE)
Submit NLT 29 June 2026 11:59 PM ET U.S. Citizens Only
Purpose
SOFWERX, in collaboration with USSOCOM Program Executive Office SOF Digital Applications (PEO-SDA), will host a series of events to identify and evaluate synthetic data generation capabilities for EO/IR computer vision model development in support of the Unmanned Systems Autonomy and Interoperability (UxSAI) program. This event aims to evaluate whitepaper responses and down-select innovative solutions for test and evaluation (T&E) to enhance detection and classification computer vision (CV) algorithm performance for all USSOCOM unmanned systems, leveraging UxSAI software architecture.
Background/Synopsis
The UxSAI program develops and fields AI/ML-enabled computer vision capabilities for unmanned systems operating across air, ground, and maritime domains. Training high-performance CV models requires large volumes of labeled, operationally relevant EO/IR imagery. Manual data collection is constrained by cost, access, and the inability to capture rare events, contested environments, or classified threat signatures. Synthetic data generation addresses this gap by producing labeled datasets that simulate operational variability without real-world acquisition constraints. UxSAI is seeking a synthetic data generation platform where program personnel can operate independently to produce EO/IR training imagery as part of the program-s existing machine learning operations (MLOps) pipeline.
Objective
Identify synthetic data generation providers capable of delivering a platform that produces labeled EO/IR synthetic training data for CV model development. The selected provider should deliver a self-service capability that UxSAI personnel can operate organically, without ongoing vendor dependency for data generation, and the UxSAI program intends to complete test and evaluation (T&E) on vendor deliverables as a part of this event.
Why...
Notice ID: uxsai_synthetic_data_modeler_ae

Department/Ind. Agency: dept of defense

Inactive Dates: jul 14, 2026

Inactive Policy: 15 days after response date

Documents

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