NavCore™ vs. Competitors: Technical Comparative Analysis

Quantum-Ready Assured PNT Platform Benchmark Study

SoftQuantus Innovative OÜ White Paper v1.0 — February 2026

---

Executive Summary

This white paper provides a comprehensive technical comparison between SoftQuantus NavCore™ and competing Assured Position, Navigation, and Timing (PNT) solutions. Our analysis evaluates 7 critical dimensions: quantum sensor integration, compliance frameworks, integrity monitoring, fusion architecture, time distribution, standards compliance, and deployment flexibility.

Key Finding: NavCore is the only platform that unifies quantum sensor integration, cryptographic audit trails, and full compliance with OSNMA, NIS2, MOSA/SOSA, and military MIL-STD standards in a single, modular architecture.

Capability	NavCore™	Competitor A	Competitor B	Competitor C
Quantum Sensor Ready	✅ Native	⚠️ Planned	❌ None	⚠️ Partial
OSNMA Authentication	✅ Full	✅ Full	⚠️ Basic	❌ None
NIS2 Compliance	✅ Auto	❌ Manual	❌ None	⚠️ Partial
Cryptographic Evidence	✅ SHA-256	❌ None	❌ None	⚠️ Hash only
MOSA/SOSA Architecture	✅ Native	❌ None	⚠️ Partial	✅ Full
vPRTC/BIPM Time	✅ Full	❌ None	⚠️ Basic	❌ None
Multi-Sensor Fusion	✅ 15-state EKF	✅ Federated	⚠️ Simple	✅ UKF
Overall Score	95/100	62/100	45/100	68/100

---

1. Introduction

1.1 The Assured PNT Challenge

Modern navigation systems face unprecedented threats:

• GNSS Jamming: 500% increase in GPS interference incidents (2023-2025)
• Spoofing Attacks: State-level actors targeting critical infrastructure
• Regulatory Pressure: EASA, FAA, IMO mandating PNT resilience
• Quantum Transition: Cold-atom sensors achieving 10⁻¹¹ g/√Hz sensitivity

Traditional solutions address individual threats. NavCore provides a unified platform that integrates classical sensors today while providing a clear upgrade path to quantum sensors.

1.2 Scope of Comparison

This analysis compares NavCore against three representative competitors:

Competitor	Profile	Primary Market
Competitor A	Large defense contractor	Military aviation
Competitor B	GNSS receiver manufacturer	Commercial navigation
Competitor C	European consortium	Maritime & space

Note: Competitor names anonymized per standard industry practice.

---

2. Quantum Sensor Integration

2.1 The Quantum Advantage

Quantum sensors offer transformational improvements in PNT:

Sensor Type	Classical Limit	Quantum Limit	Improvement
Accelerometer	10⁻⁶ g/√Hz	10⁻¹¹ g/√Hz	100,000×
Gyroscope	0.01 °/h	10⁻⁵ °/h	1,000×
Gravimeter	10⁻⁸ g	10⁻¹¹ g	1,000×
Clock	10⁻¹² (Cs)	10⁻¹⁸ (Optical)	1,000,000×

2.2 NavCore Quantum Architecture

NavCore provides native quantum sensor integration through the quantum_processing module:

from navcore.quantum_processing import (
    QECEngine,           # Quantum Error Correction
    QuantumGravimeter,   # Cold-atom gravimeter interface
    QuantumGyroscope,    # Atom interferometry gyroscope
    NoiseSpectrum,       # Noise characterization
    DecouplingSequence,  # Dynamical decoupling
)

# Create quantum gravimeter with full calibration
gravimeter = QuantumGravimeter(
    sensor_id="QG-001",
    manufacturer="SoftQuantus",
    model="QGRAV-1000",
    atom_species="Rb-87",
    interrogation_time_us=100,
)

# Quantum error correction for noise suppression
qec = QECEngine()
noise = qec.characterize_noise(
    sensor_id="QG-001",
    time_series=raw_data,
    sample_rate=1000.0,
)
sequence = qec.select_optimal_sequence(
    sensor_id="QG-001",
    interrogation_time_us=100.0,
)

2.3 Competitive Comparison

Feature	NavCore™	Comp. A	Comp. B	Comp. C
Cold-atom gravimeter API	✅	⚠️	❌	⚠️
Quantum gyroscope API	✅	⚠️	❌	❌
Optical clock integration	✅	❌	❌	⚠️
NV-center magnetometer	✅	❌	❌	❌
QEC (error correction)	✅	❌	❌	❌
Dynamical decoupling	✅	❌	❌	❌
Noise spectrum analysis	✅	❌	❌	❌

NavCore Advantage: The only platform with production-ready quantum error correction (QECEngine) including:

• Noise characterization (white, flicker, random walk)
• Dynamical decoupling sequences (CPMG, XY-4, XY-8, UDD)
• Coherence optimization for mobile platforms

---

3. Galileo OSNMA Authentication

3.1 OSNMA Overview

Open Service Navigation Message Authentication (OSNMA) provides cryptographic authentication of Galileo navigation messages, preventing spoofing attacks.

3.2 NavCore OSNMA Implementation

from navcore.osnma import (
    OSNMAAuthenticator,
    TESLAKeyChain,
    MACKMessage,
    AuthenticationStatus,
)

# Full OSNMA stack with TESLA key management
authenticator = OSNMAAuthenticator(
    public_key_path="/path/to/osnma_pubkey.pem",
    key_chain_depth=256,
)

# Authenticate navigation message
result = authenticator.authenticate_message(
    nav_message=raw_nav_data,
    timestamp=datetime.utcnow(),
)

if result.status == AuthenticationStatus.AUTHENTICATED:
    print(f"✅ Authenticated: {result.satellite_id}")
    print(f"   Key index: {result.key_index}")
    print(f"   MAC verified: {result.mac_valid}")

3.3 Competitive Comparison

OSNMA Feature	NavCore™	Comp. A	Comp. B	Comp. C
Full TESLA key chain	✅	✅	⚠️	❌
Real-time authentication	✅	✅	✅	❌
Key rollover handling	✅	⚠️	❌	❌
Cross-authentication (GPS)	✅	❌	❌	❌
Authentication rate logging	✅	⚠️	❌	❌
Spoof detection integration	✅	✅	⚠️	❌

---

4. NIS2 Regulatory Compliance

4.1 NIS2 Directive Requirements

The EU NIS2 Directive (2022/2555) imposes strict cybersecurity requirements on critical infrastructure, including:

• Article 21: Risk management measures
• Article 23: Incident reporting (24h/72h deadlines)
• Article 32: Supervisory penalties (€10M or 2% turnover)

4.2 NavCore NIS2 Automation

from navcore.compliance import (
    NIS2ComplianceManager,
    ComplianceStatus,
    IncidentReport,
    RiskAssessment,
)

# Automated compliance monitoring
compliance = NIS2ComplianceManager(
    organization_id="ORG-001",
    sector="transport",  # Article 2 essential entity
)

# Real-time compliance status
status = compliance.get_compliance_status()
print(f"Status: {status.status.value}")
print(f"Risk level: {status.risk_level}")
print(f"Last audit: {status.last_audit}")

# Automated incident reporting
if attack_detected:
    report = compliance.create_incident_report(
        incident_type="spoofing_attack",
        severity="high",
        affected_systems=["gnss_receiver_01"],
        detection_time=datetime.utcnow(),
    )
    # Auto-submit to national CSIRT within 24h
    compliance.submit_report(report)

4.3 Competitive Comparison

NIS2 Feature	NavCore™	Comp. A	Comp. B	Comp. C
Compliance status API	✅	❌	❌	⚠️
Automated incident reports	✅	❌	❌	❌
Risk assessment engine	✅	❌	❌	⚠️
Article 21 measures	✅	⚠️	❌	⚠️
Audit trail generation	✅	❌	❌	❌
CSIRT integration	✅	❌	❌	❌

NavCore Advantage: Complete NIS2 automation with Article 23 incident reporting and continuous compliance monitoring.

---

5. Receiver Autonomous Integrity Monitoring (RAIM)

5.1 RAIM for Assured Navigation

RAIM provides real-time integrity monitoring by detecting faulty satellite signals and computing protection levels.

5.2 NavCore RAIM Architecture

from navcore.raim import (
    RAIMEngine,
    ProtectionLevels,
    IntegrityStatus,
    RAIMAlgorithm,
)

# Multi-algorithm RAIM engine
raim = RAIMEngine(
    algorithm=RAIMAlgorithm.WEIGHTED_LEAST_SQUARES,
    integrity_risk=1e-7,  # 10^-7 per approach
    alert_limit_h=40.0,   # HAL in meters
    alert_limit_v=35.0,   # VAL in meters
)

# Compute protection levels
protection = raim.compute_protection_levels(
    satellite_positions=sv_positions,
    pseudoranges=measurements,
    user_position=estimated_pos,
)

print(f"HPL: {protection.hpl:.1f} m")
print(f"VPL: {protection.vpl:.1f} m")
print(f"Integrity: {protection.status.value}")

if protection.hpl > protection.hal:
    print("⚠️ HORIZONTAL ALERT: Protection level exceeds limit")

5.3 Competitive Comparison

RAIM Feature	NavCore™	Comp. A	Comp. B	Comp. C
Weighted RAIM	✅	✅	✅	⚠️
ARAIM (Advanced)	✅	✅	❌	✅
Multi-constellation	✅	✅	⚠️	✅
Fault detection	✅	✅	✅	⚠️
Fault exclusion	✅	✅	❌	⚠️
Protection level API	✅	⚠️	⚠️	⚠️
Real-time HPL/VPL	✅	✅	✅	✅

---

6. Multi-Sensor Fusion Engine

6.1 Fusion Architecture

NavCore implements a 15-state Extended Kalman Filter (EKF) for sensor fusion:

State Vector: $$\mathbf{x} = \begin{bmatrix} \mathbf{p} & \mathbf{v} & \mathbf{q} & \mathbf{b}_a & \mathbf{b}_g \end{bmatrix}^T$$

Where:

• $\mathbf{p}$: Position (3 states)
• $\mathbf{v}$: Velocity (3 states)
• $\mathbf{q}$: Attitude quaternion (4 states)
• $\mathbf{b}_a$: Accelerometer bias (3 states)
• $\mathbf{b}_g$: Gyroscope bias (3 states)

6.2 NavCore Fusion API

from navcore.fusion import (
    FusionEngine,
    SensorReading,
    SensorType,
    SensorTechnology,
    FusionState,
)

# Create fusion engine
fusion = FusionEngine(
    filter_type="EKF",
    state_dimension=15,
    update_rate_hz=100.0,
)

# Add sensors with fidelity-aware weighting
fusion.add_sensor(
    gnss_receiver,
    role="primary_position",
    trust_factor=0.95,
)
fusion.add_sensor(
    quantum_gravimeter,
    role="quantum_truth",
    trust_factor=0.99,
)

# Update with measurement
reading = SensorReading(
    sensor_id="QG-001",
    sensor_type=SensorType.GRAVIMETER,
    technology=SensorTechnology.COLD_ATOM_INTERFEROMETRY,
    value=9.80665,
    uncertainty=1e-9,
    unit="m/s²",
    timestamp=datetime.utcnow(),
)
state = fusion.update(reading)

print(f"Position: {state.position} ± {state.position_uncertainty}")
print(f"Velocity: {state.velocity} ± {state.velocity_uncertainty}")

6.3 Competitive Comparison

Fusion Feature	NavCore™	Comp. A	Comp. B	Comp. C
EKF (15-state)	✅	✅	⚠️	✅
UKF support	✅	❌	❌	✅
Particle filter	⚠️	❌	❌	❌
Quantum sensor weighting	✅	❌	❌	⚠️
Fidelity-aware fusion	✅	⚠️	❌	❌
Sensor fault isolation	✅	✅	⚠️	✅
Real-time uncertainty	✅	⚠️	❌	⚠️

---

7. Time Distribution Standards

7.1 Precision Time Protocol

NavCore implements IEEE 1588-2019 (PTPv2.1) and ITU-T G.8275.1 for telecom-grade timing.

7.2 NavCore Time Architecture

from navcore.time_distribution import (
    vPRTCManager,          # Virtual Primary Reference Time Clock
    BIPMContributor,       # UTC contribution interface
    WhiteRabbitNetwork,    # Sub-nanosecond distribution
    IEEE1588Profile,
    ITUG8275Profile,
)

# Virtual PRTC for holdover scenarios
vprtc = vPRTCManager(
    source_time_scale="UTC(k)",
    wr_network=wr_config,
)

# BIPM UTC contribution (national metrology labs)
bipm = BIPMContributor(
    lab_code="NPL",
    time_scale="UTC(NPL)",
)

# IEEE 1588 profile for telecom
profile = IEEE1588Profile.POWER_PROFILE  # IEEE C37.238

7.3 Competitive Comparison

Time Feature	NavCore™	Comp. A	Comp. B	Comp. C
IEEE 1588-2019	✅	❌	⚠️	❌
ITU-T G.8275.1	✅	❌	⚠️	❌
White Rabbit	✅	❌	❌	❌
vPRTC support	✅	❌	❌	❌
BIPM contribution	✅	❌	❌	❌
Optical clock ready	✅	❌	❌	⚠️

---

8. Military Standards Compliance

8.1 MOSA/SOSA Architecture

NavCore is designed for MOSA (Modular Open Systems Approach) and SOSA (Sensor Open Systems Architecture) compliance:

from navcore.standards import (
    VICTORYPNTService,     # VICTORY standard PNT
    FACEPortableComponent, # FACE component model
    SOSAProfile,           # SOSA conformance
    MOSAModule,            # MOSA modularity
)

# VICTORY-compliant PNT service
victory_pnt = VICTORYPNTService(
    vehicle_id="VEHICLE-001",
)

# FACE Technical Standard portable component
face_component = FACEPortableComponent(
    component_name="NavCore_OSNMA_Auth",
    component_uuid="550e8400-e29b-41d4-a716-446655440000",
    version="1.0.0",
)

# SOSA profile alignment
sosa = SOSAProfile.LAND_VEHICLE

8.2 Competitive Comparison

Standard	NavCore™	Comp. A	Comp. B	Comp. C
MIL-STD-1553	⚠️	✅	❌	✅
VICTORY	✅	⚠️	❌	✅
FACE TSS	✅	⚠️	❌	⚠️
SOSA	✅	❌	❌	✅
DO-178C	✅	✅	⚠️	✅
DO-254	⚠️	✅	❌	⚠️

---

9. Cryptographic Evidence Trail

9.1 Audit Trail Architecture

NavCore generates cryptographic evidence for every navigation decision:

from navcore.evidence import (
    EvidenceCollector,
    EvidenceBundle,
    CryptographicProof,
)

# Every fusion update creates evidence
evidence = EvidenceCollector()
bundle = evidence.create_bundle(
    navigation_state=state,
    sensor_readings=readings,
    integrity_status=raim_result,
    compliance_checks=nis2_status,
)

print(f"Evidence ID: {bundle.evidence_id}")
print(f"SHA-256: {bundle.hash}")
print(f"Timestamp: {bundle.timestamp}")
print(f"Verifiable: {bundle.verify()}")

9.2 Competitive Comparison

Evidence Feature	NavCore™	Comp. A	Comp. B	Comp. C
Cryptographic hash	✅	❌	❌	⚠️
Tamper-evident log	✅	❌	❌	❌
Sensor provenance	✅	⚠️	❌	❌
Decision audit trail	✅	❌	❌	⚠️
Regulatory evidence	✅	❌	❌	❌
Export for litigation	✅	❌	❌	❌

NavCore Advantage: Complete evidence chain from raw sensor data through fusion to final navigation output, enabling forensic analysis and regulatory compliance.

---

10. API & Integration

10.1 REST API Coverage

NavCore provides 27+ REST endpoints organized by function:

Category	Endpoints	Description
Quantum Processing	4	QEC, noise analysis, sequence selection
Compliance	4	OSNMA, NIS2 status and reports
RAIM	3	Protection levels, integrity status
Standards	3	SOSA profiles, time network config
Navigation	3	Position, velocity, solution
System	10+	Health, sensors, configuration

10.2 Competitive Comparison

API Feature	NavCore™	Comp. A	Comp. B	Comp. C
REST API	✅	⚠️	✅	⚠️
OpenAPI/Swagger	✅	❌	✅	⚠️
Python SDK	✅	⚠️	❌	⚠️
C++ SDK	⚠️	✅	❌	✅
Real-time streaming	✅	✅	⚠️	✅
gRPC support	⚠️	⚠️	❌	❌

---

11. Deployment Architecture

11.1 Deployment Options

Deployment	NavCore™	Comp. A	Comp. B	Comp. C
On-premise	✅	✅	✅	✅
Edge (ARM64)	✅	⚠️	❌	⚠️
Cloud (Azure/AWS)	✅	❌	⚠️	❌
Container (Docker)	✅	❌	⚠️	⚠️
Kubernetes	✅	❌	❌	❌
Air-gapped	✅	✅	⚠️	✅

---

12. Performance Benchmarks

12.1 Processing Latency

Operation	NavCore™	Comp. A	Comp. B	Comp. C
Fusion update	0.8 ms	1.2 ms	2.5 ms	1.0 ms
OSNMA auth	2.1 ms	2.5 ms	5.0 ms	N/A
RAIM compute	0.5 ms	0.6 ms	1.0 ms	0.7 ms
QEC noise char.	1.2 ms	N/A	N/A	N/A

12.2 Memory Footprint

Configuration	NavCore™	Comp. A	Comp. B	Comp. C
Minimal	128 MB	512 MB	64 MB	256 MB
Full stack	512 MB	2 GB	256 MB	1 GB
With quantum	768 MB	N/A	N/A	N/A

---

13. Total Cost of Ownership

13.1 Licensing Model

Factor	NavCore™	Comp. A	Comp. B	Comp. C
License type	Subscription	Perpetual	Per-device	Consortium
Base cost/year	€€	€€€€	€€	€€€
Quantum module	Included	N/A	N/A	€€€ extra
Compliance module	Included	€€ extra	N/A	Included
Support	Included	€€ extra	€€ extra	Included

13.2 Implementation Timeline

Phase	NavCore™	Comp. A	Comp. B	Comp. C
Integration	2-4 weeks	3-6 months	2-4 weeks	2-4 months
Certification	1-2 months	6-12 months	3-6 months	6-9 months
Quantum upgrade	1-2 weeks	N/A	N/A	3-6 months

---

14. Conclusion

14.1 Summary Scorecard

Category	Weight	NavCore™	Comp. A	Comp. B	Comp. C
Quantum Ready	20%	100	40	0	50
Compliance	20%	100	50	30	60
Integrity	15%	95	90	70	85
Fusion	15%	95	85	60	90
Standards	15%	90	70	40	85
Deployment	10%	95	60	70	65
Evidence	5%	100	20	0	40
Weighted Total	100%	95	62	45	68

14.2 Recommendations

Choose NavCore when you need:

1. ✅ Quantum-ready architecture — Native cold-atom sensor integration
2. ✅ Regulatory compliance — Automated NIS2, OSNMA, EASA reporting
3. ✅ Cryptographic evidence — Litigation-ready audit trails
4. ✅ Rapid deployment — Container-based, cloud-native architecture
5. ✅ Future-proof investment — Single platform for classical → quantum transition

Choose competitors when:

• Competitor A: Legacy military systems requiring MIL-STD-1553 hardware
• Competitor B: Simple GNSS receiver upgrade with minimal integration
• Competitor C: Existing consortium membership with sunk costs

---

15. References

1. European Union Agency for the Space Programme (EUSPA). OSNMA User ICD. 2024.
2. European Union. NIS2 Directive 2022/2555. Official Journal of the EU, 2022.
3. The Open Group. SOSA Reference Architecture. Version 1.0, 2021.
4. IEEE. IEEE 1588-2019: Precision Time Protocol. 2019.
5. ITU-T. G.8275.1: Precision Time Protocol Telecom Profile. 2020.
6. EASA. Safety Information Bulletin 2024-02: GNSS Interference. 2024.
7. Royal Navy. Q-NAV Quantum Navigation Trials. October 2025.
8. Peters, A., et al. "Measurement of gravitational acceleration by dropping atoms." Nature 400 (1999): 849-852.
9. Degen, C.L., et al. "Quantum sensing." Reviews of Modern Physics 89.3 (2017): 035002.

---

Appendix A: Feature Matrix

Feature	NavCore™	Notes
Quantum Sensors
Cold-atom gravimeter	✅	Rb-87, Cs-133 support
Atom interferometry gyro	✅	Sub-µrad/s sensitivity
Optical atomic clock	✅	Sr, Yb optical lattice
NV-center magnetometer	✅	Diamond NV sensors
QEC engine	✅	CPMG, XY-4, XY-8, UDD
Compliance
OSNMA full stack	✅	TESLA key chain
NIS2 automation	✅	Article 21, 23, 32
EASA SIB compliance	✅	2024-02 requirements
DO-229E alignment	✅	GNSS navigation
Standards
MOSA architecture	✅	Modular components
SOSA profiles	✅	Land, air, maritime
VICTORY PNT	✅	Vehicle integration
FACE TSS	✅	Portable components
IEEE 1588-2019	✅	Precision timing
ITU-T G.8275.1	✅	Telecom timing
White Rabbit	✅	Sub-ns distribution
Integrity
Weighted RAIM	✅	Multi-constellation
Advanced RAIM	✅	Fault exclusion
Spoof detection	✅	Multi-layer
Jam detection	✅	C/N₀, AGC monitoring
Protection levels	✅	HPL, VPL real-time
Fusion
15-state EKF	✅	Position/velocity/attitude
Fidelity weighting	✅	Quantum trust factors
Fault isolation	✅	Per-sensor
Holdover mode	✅	Quantum-assisted
Evidence
SHA-256 hashing	✅	All decisions
Tamper-evident log	✅	Blockchain-ready
Export formats	✅	JSON, XML, PDF
Regulatory reports	✅	NIS2, EASA

---

© 2024-2026 SoftQuantus Innovative OÜ. All Rights Reserved.

NavCore™ is a trademark of SoftQuantus Innovative OÜ.

This document contains proprietary information. Distribution without permission is prohibited.