Forescient AIForescient AI
Backed by UKRI · iCURE · Loughborough University

The agile Digital Twin platform for autonomous drones.

Forescient AI delivers enterprise-grade Digital Twin intelligence to organisations operating in demanding, high-stakes environments — where reliability, safety, and compliance are not optional.

forescient · dt-engine
Live data fusedLiDAR + Camera
Counterfactuals generated12,408
Compliance confidence99.8%
Edge-cases tested342
Physical assets risked0
simulation complete
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Research-backed & institutionally supported

UKRIiCURELoughborough UniversityBabcockUKRIiCURELoughborough UniversityBabcock

Capabilities

Built for environments where failure is not an option.

Every feature in Forescient AI is designed with enterprise operational requirements at its core.

Agile and Dynamic Simulation

State-of-the-art physics simulation fused with LiDAR and camera data to rapidly generate high-fidelity Digital Twins of outdoor, indoor, and hybrid environments.

Compliance and Safety Pillars

Built-in metrics for space mapping, obstacle avoidance, and semantic scene detection — the core compliance pillars required for autonomous system certification.

Corner-Case & Counterfactual Testing

Dynamically generate infinite 'what-if' scenarios and extreme edge cases to ensure your systems are prepared for rare, catastrophic events without risking physical assets.

Targeted Validation

Test autonomous systems against real-world operational conditions in defence, industrial, and logistics environments before any physical deployment.

Explainable AI

Every simulation result is fully traceable. Confidence scores, compliance reports, and plain-language explanations built into every output.

Research-Backed

Co-developed with Loughborough University and validated through UKRI-funded research programmes, with Babcock as a strategic industry partner.

Process

From first call to full deployment.

We work alongside your team at every stage. No black boxes, no opaque handoffs.

01

Scenario Definition & Environment Mapping

We define the desired compliance parameters and target environments (e.g., multi-storey car parks). Initial data capture (LiDAR, camera) maps the physical context.

02

Agile DT Generation & Corner-Case Simulation

Our platform integrates live data with physics simulation to generate adaptable Digital Twins. We dynamically create new counterfactual scenarios for rigorous safety testing.

03

Compliance Testing & Faster Deployment

Systems are tested across key compliance features, from obstacle avoidance to spatial awareness, in replicas of physical environments, accelerating real-world rollout.

Get started

Ready to bring intelligence to your operations?

Talk to our team about how Forescient AI can be deployed in your organisation. Enterprise licensing, tailored to your requirements.

Request a Demo