High-performance autonomous systems

Controls, Modeling &
Systems Integration.

High-fidelity control logic and system simulation

Integration failures are the leading cause of schedule delays and performance risk in complex engineering programs.

We help complex aerospace and defense programs align control logic, models, and software — reducing program risk, accelerating verification, and ensuring system behavior remains consistent from simulation through flight.

We focus on identifying and eliminating integration risk before it impacts schedule, cost, and system performance.

Aerospace manufacturing facility

Authority

Supporting complex programs across modeling, control systems, and software integration in space and defense environments.

Starlab Space Station ECLSS controls, modeling & system integration
Blue Origin Flight software verification & validation
Northrop Grumman GNC modeling, simulation & analysis
Raytheon Control systems modeling & SIL/HIL verification
Sierra Space GNC algorithm development & simulation
Technical representation of complex system architecture

Why Nextgen

Integration failures are a primary driver of schedule delays, performance issues, and rework in complex engineering systems. We operate at the intersection of controls, modeling, and software — taking ownership of system alignment across teams and ensuring consistency from architecture through verification.

  • Models do not match software behavior
  • Control logic is not validated against realistic system dynamics
  • System modes and interactions are not clearly defined
  • Verification does not reflect actual system behavior
  • Defining system architecture and want to ensure control logic, models, and software remain consistent from the start.
  • Your program is scaling and integration complexity is increasing across teams and subsystems.
  • You want to establish structured modeling, simulation, and verification workflows early.
  • Your system behaves differently in simulation, software, and testing.
  • Integration issues are slowing verification or impacting schedule and performance.
01

Consistent system behavior across modeling, software, and testing

02

Faster, more reliable verification cycles

03

Reduced integration risk and rework

04

Clear alignment across control logic, models, and software

High-tech engineering lab for autonomous systems

Services

All services are focused on a single objective: reducing integration risk and ensuring consistent system behavior across the program lifecycle.

01

Program-Level Controls & Software Integration

We define and integrate control logic with software, ensuring consistent system behavior across models, implementation, and testing. We focus on the interfaces and data flows where integration failures typically emerge — preventing mismatches that impact performance and verification.

02

High-Fidelity Modeling & Simulation for System Alignment

We develop high-fidelity dynamic models that support control development, analysis, and verification. Models are structured to remain consistent across the engineering lifecycle, ensuring they reflect real system behavior and remain usable through implementation and testing.

03

System-Level Verification & Validation Architecture

We design and implement unit-level and system-level verification through SIL/HIL environments, automated workflows, and CI/CD-driven validation pipelines — reducing test cycles, improving traceability, and increasing confidence in system behavior.

How We Work

We translate system requirements into executable system behavior and validate that behavior through integrated simulation.

Our work ensures control logic, models, and software remain consistent from design through verification:

  1. 01 Define system behavior through control logic and operational modes
  2. 02 Build simulation environments that replicate hardware and system dynamics
  3. 03 Integrate components within a unified modeling framework
  4. 04 Align simulation and software implementation
  5. 05 Enable reproducible verification and automated validation workflows

Where We Work

Aerospace & Space Systems
Autonomous Systems & Robotics
Defense Systems
Advanced Electromechanical and Software-Driven Systems

Selected Impact

These engagements focused on reducing integration risk and improving program-level outcomes:

01

Established a unified modeling, control logic, and software workflow using CI/CD for a space station ECLSS program — enabling consistent integration and reproducible validation across teams.

02

Increased control performance and simulation fidelity through high-accuracy modeling and Guidance, Navigation, and Control (GNC) analysis — improving reliability of system behavior and design decisions.

03

Reduced verification cycle time through automated SIL/HIL workflows — enabling faster iteration and earlier detection of integration defects.

Autonomous ground vehicle in testing field

Contact

Is your program exposed to integration risk between models, control logic, and software? Let’s identify the source of the mismatch and resolve it before it impacts schedule, performance, or verification.