Artificial Intelligence

Deployable
AI Systems for
High-Stakes
Environments

Real-time inference, sensor fusion, and decision-support for environments where accuracy is non-negotiable.

Our Capabilities

AI engineered for operational reliability

6 Core Service Areas

Inference, fusion, decision-support, edge AI, validation, and human-machine teaming.

Deterministic AI on Operational Hardware

Real-Time Inference

Inference pipelines meeting hard latency requirements on operational hardware, optimised for throughput under compute and power constraints.

  • Latency-Bounded Pipelines
    Architectures with guaranteed worst-case execution times for control and perception tasks
  • Model Optimisation & Quantisation
    Precision reduction and hardware-specific compilation within embedded power and memory limits
  • Hardware-Aware Deployment
    Runtime tuning for GPU, NPU, FPGA, and CPU targets matched to thermal and RTOS constraints
Hard Real-Time Model Quantisation Edge Inference RTOS Integration
BD Intelligence
Hard
Real-Time Inference
Multi-Modal Perception & State Estimation

Sensor Fusion

Fusion pipelines combining heterogeneous sensor data into a consistent picture, robust to degradation and noise.

  • Multi-Modal Data Fusion
    Probabilistic fusion of LiDAR, radar, camera, and IMU with calibrated uncertainty
  • State Estimation & Tracking
    Bayesian and deep learning approaches to detection and track maintenance
  • Degraded-Sensor Resilience
    Architectures that adapt to sensor failure or spoofing while staying safe
Probabilistic Fusion State Estimation Multi-Sensor Tracking Fault Tolerance
BD Data Infrastructure
360°
Fused Awareness
AI-Assisted Operator Intelligence

Decision-Support Systems

AI that surfaces the right information at the right moment, reducing cognitive load without removing operator judgment.

  • Anomaly Detection & Alerting
    Models trained on operational baselines, tuned to minimise false positives
  • Situation Assessment
    Sensor and mission data synthesised into ranked recommendations with confidence scores
  • Predictive Health & Prognosis
    Models that flag developing faults before failure, enabling planned maintenance
Anomaly Detection Situation Assessment Prognostics Explainable AI
BD Cloud
Human
In The Loop
On-Platform Inference Without Cloud Dependency

Edge AI Deployment

AI that runs entirely on-platform, delivering full inference in GPS-denied and comms-degraded environments.

  • Embedded AI Stack
    Full-stack software from ingestion through inference, integrated with platform architecture
  • Over-the-Air Model Management
    Secure update pipelines with version control, rollback, and validation gates
  • Compute-Constrained Optimisation
    Architecture choices balancing accuracy, update rate, and power within SWaP limits
Embedded AI Comms-Denied Ops OTA Model Updates SWaP Optimisation
BD Auto
Offline
AI Capability
Verification for Safety-Critical AI

Model Validation & Assurance

Structured validation establishing confidence in AI behaviour across the full operational envelope.

  • Domain Coverage Testing
    Systematic testing across edge cases and failure modes benchmarks miss
  • Uncertainty Quantification
    Calibrated confidence estimates separating reliable from uncertain predictions
  • Assurance Evidence
    Structured cases supporting safety sign-off and regulatory engagement
Domain Coverage Uncertainty Quantification Assurance Cases Safety Sign-Off
BD Model Life
Verified
Behaviour
AI That Augments Operator Judgment

Human-Machine Teaming

Interfaces designed around how operators decide under time pressure, amplifying capability without eroding awareness.

  • Adaptive Automation
    Adjustable autonomy between advisory, supervisory, and autonomous modes
  • Cognitive Load-Aware Interfaces
    Designs informed by human factors for fast, accurate decisions
  • Trust Calibration
    Explainability that builds trust without over-reliance on system outputs
Shared Autonomy Human Factors Explainability Trust Calibration
BD Integration
Augmented
Operator Judgment
Hard
Real-Time Inference
Bounded-latency AI on operational hardware
Offline
AI Capability
Full on-platform inference, no uplink required
Verified
Behaviour
Validated across the operational envelope
Human
In The Loop
AI that amplifies, not replaces, operator judgment
BD Approach
AI
Inference, Fusion &
Decision-Support
Our Approach

AI that performs in the field, not just the lab

We build AI systems for operational hardware, held to the same standards as the rest of the platform — verifiable when data is noisy, links are down, and error margins are zero.

  • 01
    Deployability first
    Designed against the target platform's compute, power, and connectivity from day one.
  • 02
    Built for degraded conditions
    Validated against sensor failure, distributional shift, and comms loss.
  • 03
    Verification as engineering
    Assurance evidence accumulates throughout development, not at the end.
  • 04
    Operators stay in control
    Defined authority models with transparency and override capability.