Noblis, Inc.
Noblis is a U.S.-based provider of science, technology and strategy services supporting federal government missions. The organization develops and applies capabilities in artificial intelligence and machine learning, digital engineering and model-based systems engineering, modeling and simulation, autonomous systems, cybersecurity and applied sciences (including genomics and forensics). Noblis conducts sponsored research, holds multiple technology patents, operates analytic and experimentation testbeds, and invests in early-stage deep-tech ventures.
Industries
N/A
Nr. of Employees
small (1-50)
Noblis, Inc.
2002 Edmund Halley Drive, Reston, VA 20191, USA
Patents
Adversarial reinforcement learning system for simulating security checkpoint environments
US-12242615-B2
View Details
Adversarial reinforcement learning system for simulating security checkpoint environments
US-12242615-B2
View DetailsProducts
OptiSource decision-support engine
A schedule optimization and decision-support platform that integrates disparate maintenance, contract and infrastructure data to produce long-range forecasts and scenario outputs for fleet readiness.
OptiSource decision-support engine
A schedule optimization and decision-support platform that integrates disparate maintenance, contract and infrastructure data to produce long-range forecasts and scenario outputs for fleet readiness.
Services
Custom ML and NLP model development, LLM augmentation and deployment for government enterprise analytics and decision support.
Assessment, modeling and incremental migration of legacy systems to digital engineering frameworks using MBSE and associated tooling.
Creation of multi-layer simulations and digital twins for infrastructure, logistics and operational planning, including scalable simulation engines.
Design and delivery of portable sequencing workflows, field sample processing, offline classification and backend laboratory analysis.
Testbed-based evaluation of 5G architectures, MEC, NFV, SDN and IoT integration to assess performance and adoption risks.
Research, prototyping and demonstration of coordinated autonomy methods for multi-agent systems and machine interoperability.
Custom ML and NLP model development, LLM augmentation and deployment for government enterprise analytics and decision support.
Assessment, modeling and incremental migration of legacy systems to digital engineering frameworks using MBSE and associated tooling.
Creation of multi-layer simulations and digital twins for infrastructure, logistics and operational planning, including scalable simulation engines.
Design and delivery of portable sequencing workflows, field sample processing, offline classification and backend laboratory analysis.
Testbed-based evaluation of 5G architectures, MEC, NFV, SDN and IoT integration to assess performance and adoption risks.
Research, prototyping and demonstration of coordinated autonomy methods for multi-agent systems and machine interoperability.
Expertise Areas
- Artificial intelligence and machine learning
- Responsible AI governance and explainability
- Digital engineering and model-based systems engineering
- Modeling and simulation / digital twins
Key Technologies
- Machine learning (ML)
- Natural language processing (NLP) and natural language inference (NLI)
- Large language model (LLM) augmentation and verification
- High-performance computing (HPC)
News & Updates
Field Guide covering AI capabilities, implementation playbook, responsible AI guidance and special topics for public sector adoption (Edition 2, June 2025).
Article describing benefits and a demonstration project transitioning a defense IT system from legacy artifacts to a digital engineering MBSE framework.
Case study describing a portable, self-contained sequencing and analysis workflow for field genomics and metagenomic classification.
Case study describing a centralized dashboard that uses LLMs and analytics to inventory and analyze agency IT projects for governance and redundancy reduction.
Named one of the World’s Most Ethical Companies in 2025 (13th recognition).
Named a winner of Energage 2024 Top Workplaces USA based on anonymous employee survey results.
Field Guide covering AI capabilities, implementation playbook, responsible AI guidance and special topics for public sector adoption (Edition 2, June 2025).
Article describing benefits and a demonstration project transitioning a defense IT system from legacy artifacts to a digital engineering MBSE framework.
Case study describing a portable, self-contained sequencing and analysis workflow for field genomics and metagenomic classification.
Case study describing a centralized dashboard that uses LLMs and analytics to inventory and analyze agency IT projects for governance and redundancy reduction.
Named one of the World’s Most Ethical Companies in 2025 (13th recognition).
Named a winner of Energage 2024 Top Workplaces USA based on anonymous employee survey results.