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AI & Autonomous Systems
Applied AI and machine learning for decision support, autonomous functions, model evaluation, AI assurance, and intelligent automation.
Engineering & Applied Research
Engineering intelligent systems for real world performance.
NAVORA helps organizations develop, test, and validate AI enabled, autonomous, sensing, and human machine systems through engineering, physical measurement, modeling, and evidence.
Conceptual illustration, not a project photograph
AI & Autonomous Systems
Test, Measurement & Validation
Human Factors Engineering
Modeling & Simulation
How We Help
Engineering support from concept to evidence.
We work on systems where software, physical behavior, automation, and people interact. We help teams understand performance, uncertainty, and what evidence is needed before important engineering decisions are made.
02
Test, Measurement & Validation
Experimental design, instrumentation, data acquisition, sensing, performance characterization, verification, and validation.
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Human Factors Engineering
Human performance, human machine interaction, workload, vigilance, supervisory control, trust in automation, and human autonomy teaming.
04
Modeling & Simulation
Physics based and data driven modeling, simulation, vibration and dynamics, predictive analysis, and numerical to experimental comparison.
Selected R&D Experience
Evidence behind the capability.
Representative research conducted by members of NAVORA's technical team across intelligent systems, sensing, human factors, physical experimentation, and engineering analysis.
AI & Autonomous Systems
AI Decision Modeling for Autonomous Vehicles
Research used machine learning and explainable methods to study decision behavior under cognitive load and time pressure in autonomous driving scenarios.
Published Research ↗
Test, Measurement & Validation
Noncontact Sensing for Infrastructure Inspection
Numerical and experimental research investigated air coupled impact echo methods for buried concrete pipes using acoustic sensing, controlled testing, modeling, and validation.
Research Record ↗
Human Factors Engineering
Human Autonomy Teaming in Aviation
Research examined task analysis, human and autonomy role allocation, system requirements, and evaluation for future commercial aviation concepts.
Published Research ↗
Modeling & Simulation
Predictive Modeling for High Speed Rail
Research combined a validated vehicle and track simulation with machine learning to accelerate ride comfort prediction across operating conditions.
Published Research ↗Selected experience includes research completed by NAVORA team members through academic and research collaborations, including work completed before the formation of NAVORA. View more technical evidence →
Current Research Focus
Trustworthy autonomous experimentation.
Autonomous laboratories need more than fast optimization. They need a way to determine whether the evidence behind the next experimental action is sufficient to proceed.
NAVORA is pursuing decision verification methods that evaluate the evidence supporting an autonomous action and identify when an additional verification measurement is needed before proceeding.
Connect experimental evidence to the action an autonomous system is about to take.
Request additional measurement only when uncertainty can change the next decision.
Support repeatable, defensible experimental workflows without presenting proposed R&D as completed technology.
About NAVORA
Engineering and applied research for systems that must work in the real world.
Founded in 2025, NAVORA LLC is a U.S. engineering and applied research company based in Orlando, Florida.
Our work spans AI and autonomous systems, human factors, sensing and measurement, test and validation, modeling, simulation, and engineering analysis.
We combine measurement, modeling, experimentation, and intelligent methods to understand how complex systems actually perform.
Legal NameNavora LLC
Business TypeU.S. Limited Liability Company
Primary NAICS541330, Engineering Services
LocationOrlando, Florida
UEIT8CTF6K4H553
CAGE Code23ZZ6
How We Work
Measure. Model. Test. Validate.
A simple engineering discipline for complex systems.
Measure
Collect reliable information from the physical system, user, or operating environment.
Model
Use engineering and data driven methods to understand system behavior.
Test
Evaluate assumptions, performance, uncertainty, and failure conditions.
Validate
Turn results into defensible engineering evidence and decisions.
Leadership
Engineering and research leadership behind NAVORA.
NAVORA combines hands-on engineering development with research in intelligent and human-centered systems.
Founder & Chief Executive Officer
Yash Kumar Dhabi, Ph.D.
Yash Kumar Dhabi is a mechanical engineer and technology developer focused on the design and development of complex engineering systems. His work brings together system design, instrumentation, sensing, simulation, modeling, and experimental testing to turn engineering concepts into measurable and testable systems.
His technical expertise includes mechanical system design, vibration and dynamics, instrumentation, sensor development, data acquisition, signal processing, finite element analysis, engineering simulation, biomechanics, composite structures, metamaterials, and experimental testing.
At NAVORA, Yash leads the development of engineering technologies and applied R&D solutions for organizations facing complex technical problems. His focus is on translating engineering requirements into system concepts, prototypes, measurement and instrumentation setups, simulation models, and tested engineering solutions.
Director of R&D
Amandeep Singh, Ph.D.
Amandeep Singh is an engineering and R&D professional specializing in human interaction with complex engineered and intelligent systems. His expertise includes human factors engineering, ergonomics, multimodal sensing, data analytics, AI/ML, and the design, testing, and evaluation of intelligent technologies.
His work examines human-AI and human-autonomy interaction, cognitive workload, vigilance, decision-making, human reliability, trust, physiological and behavioral sensing, and safety in automated and safety-critical systems.
His research has been applied to autonomous vehicles and surface transportation, aviation and flight-deck systems, nuclear digital control rooms, agricultural machinery, intelligent manufacturing, and high-speed rail. His professional R&D work with academic, government, and industry partners has contributed to more than 60 peer-reviewed publications and technical contributions, funded R&D programs with a combined value exceeding US$2.1 million, multiple patents, and multidisciplinary engineering projects.
At NAVORA, his R&D work focuses on technologies where human behavior, intelligent systems, and engineering performance all matter. He works with organizations developing or evaluating complex engineered systems, with particular interest in human-AI interaction, AI/ML, autonomous and automated systems, multimodal sensing, safety, reliability, and system testing and evaluation. His approach considers both sides of the system: how the technology performs and how people understand, interact with, and perform within it.
Work With NAVORA
Bring us the technical problem.
NAVORA supports focused R&D efforts, engineering work packages, prototype and evaluation efforts, modeling and analysis, system validation, and specialized technical collaborations.