Forescient AIForescient AI

Pre-mission validation for autonomous drones.

Test site-specific drone missions against real conditions and failure events before deployment.

Research-backed & institutionally supported

UKRIiCURELoughborough UniversityBabcockUKRIiCURELoughborough UniversityBabcock

Platform

Test the mission before flight.

Build a site-specific environment, run adverse scenarios, and review the resulting mission envelope.

Platform in action

Build, run, and challenge the mission.

Natural-language configurationMulti-drone simulationCondition and event injection

Capabilities

What the platform does

Real-site mission environments

Build test environments from site and operational data.

Drone mission-risk testing

Apply weather, obstacles, system failures, and multi-drone interactions.

Mission envelope

Record what happened, under which conditions, and what changed.

Simulation-to-real validation

Compare simulated and physical mission behaviour where data is available.

Who it's for

Built for teams deploying drones where failure is expensive.

Defence and security

Airfield patrol, base security, contested or complex operating environments.

Infrastructure inspection

Power lines, railways, industrial sites, utilities, and energy assets.

Emergency response

Search, rescue, disaster response, and urgent operations in uncertain environments.

BVLOS operators and system integrators

Mission planning, route checks, and deployment decision support.

Process

How it works

01

Define the mission

Set the site, route, objective, and constraints.

02

Recreate the site

Build the environment from available site data.

03

Run risk scenarios

Apply adverse conditions, failures, and hazards.

04

Generate a mission envelope

Review the run, its conditions, and observed limits.

Journey

Why we built Forescient AI

Forescient AI was born from a first-hand experience during an MoD-linked ATRACT project. A £4,000 drone, flown by a professional pilot, crashed during its first flight in a new environment. We built Forescient so teams can understand those mission risks before putting an asset in the air.

Timeline

From lab to deployment.

2024

ICURe validation completed · Core mission-risk testing concept validated for autonomous drone operations

2025

Research phase accelerated · Partner-led validation discussions with Babcock

2026

Pre-Mission Validation Pack launched · Early pilots underway with drone operators

Next

Scaling mission-risk testing to multi-drone deployments · Seed fundraising underway

Contact

Let's talk.

Whether you are scoping a Pre-Mission Validation Pack, a research partnership, or just want to understand what Forescient AI can do for your drone programme — we would love to hear from you.

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Contact details

Email

hello@forescient.ai

Address

London, UK

Engagement model

We typically start with a Pre-Mission Validation Pack scoped to one site and one mission, then move to a broader engagement tailored to your programme. We do not publish public pricing — all commercial discussions are handled directly with our team.