Striatus - Hawkrose

Airspace design has historically been limited by how many options a team can draw and assess. Striatus removes that constraint, and searches the space no one has had time to look at, each checked against safety, noise, carbon and controller workload.

What it is

Designing airspace — the routes and structures aircraft fly through — is traditionally slow, labour-intensive and expensive – and the overall result can be inconsistent.

Striatus changes that. It uses genetic algorithms — a technique that automatically “evolves” and improves designs — to create and evaluate airspace configurations in a fraction of the time, shortening a cycle that once took months to minutes.

Every design it produces is checked against air-safety regulations and weighed for its effect on population-weighted noise, carbon emissions and air-traffic-control complexity.

Benefits

Months of design work done in minutes

Dramatically cutting cost and freeing scarce expert time.

Better answers, not just faster ones

It finds high-quality, compliant designs that human planners could miss.

Consistent and defensible

Every option is evaluated on the same basis, against safety, noise, carbon and complexity.

Balances competing public and operational pressures in the open

Making trade-offs explicit and easier to justify to regulators and communities.

Any operation made of interdependent processes can be modelled the same way, from airport terminals to ports and logistics hubs, wherever local changes have consequences somewhere else entirely.

Real-world examples

Rapidly generating and comparing airspace-redesign options for a busy region, balancing noise over populated areas against fuel and carbon efficiency.

Testing many configurations against a change in traffic demand to find the most resilient design.

Giving regulators and stakeholders a clear, evidence-based menu of compliant options and their trade-offs.

Benefits

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