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NavAstraa Technologies

Engineering Intelligence for Space and Autonomous Systems

Advanced Guidance, Navigation & Control software, AI-powered autonomy, and mission-critical embedded intelligence for next-generation aerospace, defense, robotics, and autonomous platforms.

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Simulation fidelity
6-DOF

Simulation fidelity

Process-aligned software
DO-178C

Process-aligned software

On-board autonomy
Edge AI

On-board autonomy

About NavAstraa

Intelligent software platforms for autonomous systems

NavAstraa Technologies develops the software that lets vehicles and spacecraft perceive their state, decide under uncertainty, and act within hard real-time and safety constraints.

Our work sits at the intersection of classical aerospace engineering and modern machine intelligence. We build estimation and control stacks that hold up under sensor degradation, model error, and actuator saturation — then wrap them in mission software, simulation, and verification tooling so behaviour is provable before it ever reaches hardware.

Every deliverable is engineered as a platform rather than a one-off script: deterministic interfaces, versioned models, reproducible Monte Carlo campaigns, and traceable requirements from algorithm derivation through flight-qualified code.

  • Aerospace engineering
  • Artificial intelligence
  • Control systems
  • Embedded software
  • Numerical optimization
  • Sensor fusion
  • Mission software
Etymology
NavAstraa combines “Nava” (new, innovative) and “Astra” (advanced instrument or technology), symbolizing next-generation intelligent technologies.
Navanew · innovative
Astraadvanced instrument
Technology Domains

Ten engineering domains, one coherent software stack

Each domain is developed as an independently verifiable module with defined interfaces, so systems can be composed without re-deriving fundamentals.

  • GDN

    Guidance

    Trajectory generation and re-targeting under thrust, thermal, and keep-out constraints, solved on-board within cycle budget.

  • NAV

    Navigation

    State estimation from inertial, optical, radio, and terrain references with observability analysis and fault isolation.

  • CTL

    Control

    Attitude and translational control laws with gain scheduling, saturation handling, and quantified stability margins.

  • AI

    Artificial Intelligence

    Learned policies and estimators bounded by analytical safety envelopes, validated against adversarial scenario sets.

  • FUS

    Sensor Fusion

    Tightly and loosely coupled multi-rate fusion architectures with consistency checks and covariance integrity monitoring.

  • ROB

    Robotics

    Perception-to-actuation pipelines for manipulation, docking, and mobility in unstructured and GPS-denied environments.

  • EMB

    Embedded Software

    Deterministic real-time C/C++ on RTOS and bare-metal targets, with static analysis and bounded memory behaviour.

  • MSN

    Mission Software

    Command sequencing, autonomy rules, telemetry decoding, and fault protection built on versioned mission data models.

  • SIM

    Simulation

    High-fidelity dynamics, sensor, and environment models driving Monte Carlo and hardware-in-the-loop campaigns.

  • TWN

    Digital Twins

    Continuously calibrated vehicle replicas for anomaly reproduction, performance trending, and predictive maintenance.

Industries

Deployed where failure is not an acceptable outcome

The same estimation and control core adapts across domains — what changes is the dynamics model, sensor suite, and certification context.

  • Space

    Orbit determination, attitude control, rendezvous and proximity operations, and on-board mission autonomy.

  • Defense

    Resilient navigation in contested and GPS-denied conditions, with deterministic, auditable decision logic.

  • Robotics

    State estimation and motion control for manipulators, legged systems, and inspection platforms.

  • Autonomous Vehicles

    Localization, fusion, and planning stacks engineered against functional-safety expectations.

  • Aviation

    Flight software, air-data fusion, and guidance for crewed, uncrewed, and eVTOL platforms.

  • Maritime

    Surface and subsurface navigation with inertial-aided dead reckoning and long-duration drift control.

  • Industrial Automation

    Real-time control, predictive analytics, and digital twins for high-throughput production systems.

Engineering Capabilities

The technical surface we work across

A working index of the methods, toolchains, and assurance practices our engineers apply directly — not an aspirational list.

Astrodynamics & Guidance

04
  • Trajectory Optimization
  • Orbit Determination
  • Attitude Determination & Control
  • Quaternion Control

Estimation & Navigation

06
  • Kalman Filtering
  • Extended Kalman Filters
  • Visual Navigation
  • Star Tracker Integration
  • IMU Processing
  • GPS/INS Fusion

Implementation & Toolchain

04
  • Embedded C/C++
  • Python
  • MATLAB/Simulink
  • Model-Based Design

Verification & Assurance

04
  • Digital Twin
  • Hardware-in-the-Loop
  • Monte Carlo Simulation
  • Safety-Critical Software

Applied Intelligence

05
  • AI for Mission Planning
  • Edge AI
  • Reinforcement Learning
  • Predictive Analytics
  • Autonomous Decision Systems
Solutions

Productised platforms, configured per mission

Each solution ships with interface specifications, verification evidence, and simulation assets so integration is an engineering task rather than a discovery exercise.

  • SOL-01

    GNC Software Suite

    Integrated guidance, navigation, and control libraries with configurable dynamics models, verified numerics, and flight-target code generation.

    • Guidance
    • Control
    • Flight code
  • SOL-02

    Autonomous Navigation Platform

    Multi-sensor localization stack combining inertial, visual, and radio measurements with integrity monitoring and graceful degradation.

    • Estimation
    • Fusion
    • GPS-denied
  • SOL-03

    Mission Planning Tools

    Constraint-aware sequencing and scheduling with feasibility checking, resource modelling, and operator-in-the-loop review.

    • Planning
    • Scheduling
    • Ops
  • SOL-04

    Sensor Fusion Engine

    Multi-rate filtering framework with pluggable measurement models, covariance diagnostics, and deterministic replay of recorded runs.

    • Filtering
    • Replay
    • Diagnostics
  • SOL-05

    Flight Software Framework

    Real-time execution scaffolding for RTOS and bare-metal targets: task scheduling, telemetry, fault protection, and bounded resource use.

    • Real-time
    • RTOS
    • Fault protection
  • SOL-06

    AI Mission Intelligence

    Learning-based planning and anomaly detection operating inside analytical safety bounds, with full traceability of decisions.

    • Edge AI
    • Anomaly
    • Autonomy
  • SOL-07

    Simulation & Digital Twin Platform

    Environment, sensor, and vehicle models supporting Monte Carlo campaigns, hardware-in-the-loop rigs, and continuously calibrated twins.

    • Monte Carlo
    • HIL
    • Digital twin
Why NavAstraa

Built for programmes measured in decades

Autonomy software is a long-lived asset. We engineer it so it remains verifiable, extensible, and maintainable well past first flight.

  1. 01

    Engineering excellence

    Algorithms derived from first principles, reviewed analytically, and validated numerically before they are written as code.

  2. 02

    AI-first architecture

    Learning components designed into the system from the start, with clear boundaries between learned and analytical behaviour.

  3. 03

    Mission-critical reliability

    Deterministic execution, bounded resources, and defined behaviour under sensor loss, model error, and off-nominal input.

  4. 04

    Research-driven innovation

    Continuous engagement with current literature, reproduced and benchmarked internally before it informs a product decision.

  5. 05

    Scalable software platforms

    Reusable, versioned modules with stable interfaces so each programme starts from proven foundations.

  6. 06

    Global technology vision

    Built for international standards, distributed engineering collaboration, and long-horizon programme lifecycles.

An autonomous system earns trust the same way a control law does — through bounded behaviour that can be demonstrated, not asserted.

NavAstraa engineering principles
Leadership

Technical leadership across AI, aerospace, and flight software

Our leadership structure pairs deep research capability with hands-on flight and embedded engineering practice.

  • Founder & CEO

    AI research leader with experience building enterprise AI systems, granted patents, and large-scale software platforms.

    • Applied AI research
    • Enterprise-scale software
    • Patents & IP
    • Technology strategy

  • Chief Scientist

    Expert in spacecraft guidance, navigation, and control, mission design, and autonomous systems engineering.

    • Spacecraft GNC
    • Mission design
    • Autonomous systems
    • Estimation theory

  • Principal Engineer

    Specialist in embedded systems, flight software, real-time control, and high-reliability engineering practice.

    • Flight software
    • Real-time control
    • Embedded systems
    • High-reliability process
Research

Research that feeds directly into shipped software

We publish and document our methods so results can be examined, reproduced, and challenged by other engineers. Detailed material is available on request.

  • Publications

    Peer-reviewed work on estimation, control, and autonomy methods developed within our engineering programmes.

  • Technical Notes

    Short derivations, benchmark results, and implementation notes documenting how methods behave in practice.

  • White Papers

    Longer-form treatments of architecture decisions, verification strategy, and autonomy assurance approaches.

  • Patents

    Protected methods arising from internal research in navigation, fusion, and autonomous decision systems.

  • Conference Talks

    Presentations and technical sessions covering applied GNC, edge AI, and simulation-driven verification.

Careers

For engineers who want the hard autonomy problems

We are looking for people who read the papers, derive the equations, and then care whether the implementation holds up on target hardware.

The work is genuinely difficult: estimating state from imperfect sensors, proving a control law stays stable across the envelope, fitting a learned policy inside a real-time budget, and demonstrating all of it in simulation before hardware exists.

You will own problems end to end — derivation, implementation, verification, and the honest analysis of where the approach breaks down. We value engineers who document their reasoning as carefully as their code.

Introduce yourself

Open disciplines

  • GNC EngineeringOngoing
  • Flight SoftwareOngoing
  • Estimation & Sensor FusionOngoing
  • Machine LearningOngoing
  • Simulation & VerificationOngoing
  • Robotics & AutonomyOngoing
Contact

Start a technical conversation

Describe your platform, mission profile, or the estimation and control problem you are working on. Enquiries are read by engineers, not a sales queue.