About S&B Incorporated
S&B Incorporated delivers mission-critical AI solutions with validated methodologies for federal agencies and commercial enterprises. Our team combines deep technical expertise with an understanding of government acquisition processes and program management requirements.
Our Mission
To deliver AI-enabled solutions that are validated, auditable, and aligned with the rigorous standards required for federal deployment. We bridge the gap between cutting-edge research and field-ready systems by emphasizing testability, repeatability, and evidence-based performance claims.
Our Approach
We ground our work in peer-reviewed methodologies and quantifiable metrics. Every capability we deliver includes defined acceptance criteria, documented validation procedures, and clear scope boundaries. Our solutions are designed to withstand technical evaluation and program audits.
How we support acquisitions: we define acceptance criteria up front, provide test plans aligned to program needs, and deliver audit-ready documentation for contracting and oversight.
Core Principles
Evidence-Based
All claims grounded in validated research with documented metrics and reproducible results.
Scope Discipline
Clear boundaries on what is in-scope vs. out-of-scope, with explicit assumptions stated.
Risk Awareness
Honest assessment of limitations, edge cases, and operational constraints.
Audit-Ready
Documentation and processes designed for program oversight and technical evaluation.
Team Expertise
Technical Competencies
- Machine learning and deep learning (PyTorch, TensorFlow, Detectron2)
- Large language models and generative AI (LLaMA, Stable Diffusion)
- Reinforcement learning optimization (DPO, RLHF, PPO)
- Mathematical optimization and operations research (MILP, Pyomo, Gurobi)
- Computer vision and sensor fusion (YOLO, LiDAR processing)
- Edge computing and embedded systems (Jetson, TensorRT)
Domain Experience
- Autonomous vehicle perception and safety validation
- Process systems engineering and chemical process design
- Carbon capture and environmental systems
- Defense and intelligence community program support
- Federal acquisition and contracting processes
Research Foundation
Our capabilities are grounded in peer-reviewed research and validated through rigorous testing. Key methodological foundations include:
Edge Case Validation Research
Automated Vehicle Edge Case Validation for Safety—methodology for systematic edge case discovery using generative AI models with DPO and RLHF optimization.
Keywords: edge case, generative models, reinforcement learning, synthetic datasets, perception systems, validation
Process Family Optimization Research
Optimal Design Approaches for Cost-Effective Manufacturing and Deployment— MILP formulation capturing economies of numbers for platform-based deployment.
Keywords: optimization, process design, energy systems, economies of numbers, manufacturing standardization
Learn More About Our Capabilities
View detailed case studies and technical specifications.