Experience

Proven Work. Advanced Technical Depth.

PRYNET helps organizations assess risk, strengthen software architecture, and prepare critical applications for secure, scalable operation.

Selected corporate work

PRYNET’s Work for Maryland Public Higher Education

Morgan State University

Urban Flow App Architecture, Scalability & Security Assessment

Project period: Completed December 2025
Engagement: Direct technical services engagement
Public sector: Maryland public higher education

The engagement

PRYNET evaluated and strengthened the Flutter mobile application supporting Morgan State University's Urban Flow autonomous mobility initiative. The engagement combined security assessment, prioritized remediation, and architectural restructuring to improve scalability, maintainability, and security enforcement.

Delivered Value

Remediated identified security and architectural issues during the engagement.
Restructured application components to strengthen maintainability, scalability, and consistent security enforcement.
Delivered a prioritized production-readiness plan for remaining security and lifecycle controls.

Technical Focus

Flutter mobile application architecture
MVVM
Authentication and access control
Secure data storage
Application security assessment
Scalable service architecture

Morgan State University

TrustWatch (formerly BiasWatch) — LLM Trust, Safety & Bias Analytics Platform

Project period: 2024
Engagement: Technical design and development engagement
Public sector: Maryland public higher education

The engagement

PRYNET helped move an AI accountability research concept into a working product by designing and developing the platform originally known as BiasWatch and now operating as TrustWatch for Morgan State University. The system provides structured, evidence-supported reporting and analytics for monitoring bias, fairness, safety, and performance concerns across large language models.

Delivered Value

Translated an AI trust and safety research concept into a publicly accessible software product.
The work culminated in Morgan State University's July 2, 2025 intellectual-property filing, TrustWatch: Crowd-Sourced AI Trust & Safety Rating System, naming Chukwuemeka Duru among the inventors.
Implemented a time-sensitive TrustScore framework incorporating report recency and community validation.
Enabled advanced filtering, graphical analysis, report management, voting, commenting, and resolution tracking.

Technical Focus

LLM trust and safety analytics
Full-stack web application
REST APIs
Relational data architecture
Caching and scalable retrieval

Explore the TrustWatch platform View Morgan State University's patent and IP listing

Key-personnel experience

Technical Depth Behind PRYNET

PRYNET key personnel bring hands-on experience designing, researching, building, evaluating, and deploying advanced technology systems across AI/ML, cybersecurity, software engineering, data platforms, and cloud environments.

Production AI Systems

PRYNET key personnel bring experience developing production AI systems including retrieval-augmented generation, semantic search, recommendation systems, multimodal applications, AI assistants, vector retrieval, and evaluation pipelines.

AI Retrieval & Knowledge Systems

PRYNET key personnel bring experience designing retrieval systems that combine document ingestion, semantic search, vector databases, ranking, evaluation, and generative AI to help users access complex information more effectively.

Machine-Learning Engineering

PRYNET key personnel bring experience across model development, experimentation, evaluation, ML deployment, API serving, monitoring, caching, observability, and end-to-end MLOps.

Cybersecurity & Adversarial AI

PRYNET key personnel bring advanced research and engineering experience in cybersecurity, adversarial machine learning, model robustness, secure systems, and AI-system security.

Cloud & Platform Engineering

PRYNET key personnel bring experience deploying modern applications and AI systems using cloud infrastructure, containers, APIs, CI/CD, observability, databases, and production engineering practices.

Technical Research

PRYNET key personnel bring experience contributing to advanced research environments involving machine learning, cybersecurity, video analytics, AI evaluation, and automated data-processing systems.