SoliosAI provides technical services for autonomous systems, engineering teams, and industrial organisations working with autonomy, navigation, simulation, sensor fusion, verification, and AI-assisted technical workflows. Services are designed to help teams review technical risk, prepare clearer evidence, assess degraded navigation behaviour, and understand system performance before larger design, implementation, or operational decisions.
These fixed-scope services are designed for teams that need practical technical assessment without immediately committing to a large implementation project. SoliosAI can support autonomy and navigation risk review, simulation evidence preparation, GNSS-denied navigation resilience assessment, and sensor fusion or Kalman filter diagnostic review using approved project information, simulation outputs, logs, reports, or sanitised technical material.
01
Autonomy & Navigation Risk Review
A fixed-scope remote technical review for teams that need a second technical view on autonomy, navigation, simulation, sensor fusion, or mission-risk concerns before a design review, system decision, client discussion, or development milestone.
Useful for: UAV teams, robotics companies, mining autonomy groups, maritime autonomy teams, startups, research teams, and technical founders.
- Design review preparation
- Navigation and autonomy risk identification
- GNSS-degraded or denied navigation concerns
- Sensor-fusion and Kalman filter behaviour
- Simulation results interpretation
- Technical findings and recommended next steps
02
Simulation Evidence Pack
Structured simulation outputs, scenario comparisons, plots, metrics, and review-ready technical evidence for teams preparing design reviews, stakeholder discussions, validation planning, system decisions, or client-facing technical summaries.
Useful for:
- Scenario definition and comparison
- Mission and trajectory visualisation
- Navigation error and uncertainty plots
- Review-ready technical summaries
03
GNSS-Denied Navigation Resilience Assessment
Simulation-based assessment of degraded, denied, biased, spoofing-style, jamming-style, or uncertain navigation conditions using client-approved, non-sensitive system information, simulation outputs, logs, or sanitised data.
Useful for:
- GNSS outage and degradation scenarios
- Navigation drift and uncertainty growth
- Sensor dropout and fallback behaviour
- Technical recommendations
04
Sensor Fusion & Kalman Filter Diagnostic Sprint
Focused review of sensor-fusion and state-estimation behaviour, including EKF/UKF stability, covariance confidence, innovation trends, measurement gating, sensor trust, drift behaviour, and degraded estimation performance.
Useful for:
- EKF/UKF diagnostics
- Innovation and residual analysis
- Filter tuning recommendations
- Technical findings summary
Need to Assess a System?
GNSS interference is increasingly discussed alongside long-range weapons systems, counter-UAS capabilities, and advanced air-defence technologies as a serious operational risk that international law alone has not been able to fully prevent or control. For engineering and industrial teams, this makes technical evidence, navigation resilience, simulation outputs, and system-level assessment increasingly important.
SoliosAI technical services for autonomous systems supports teams that need a clearer technical view before making larger design, implementation, or operational decisions. This can include autonomy and navigation risk review, simulation evidence preparation, GNSS-denied navigation resilience assessment, sensor fusion and Kalman filter diagnostics, and verification-ready reporting for autonomous systems.
If your team is preparing for a design review, assessing degraded navigation behaviour, reviewing simulation results, investigating sensor-fusion performance, or trying to turn complex technical outputs into clearer evidence, SoliosAI can help identify the risks, findings, and next steps.
