Nisus
The causal engine at the heart of Hawkrose. It maps how the parts of a complex system actually influence one another, so that when the world changes, its answers change correctly with it.
Discover NisusClarity from Complexity.
Hawkrose is a British technology company that designs, develops, and deploys tailored software solutions.
Solving real and complex business challenges, we combine AI with cutting-edge software engineering to create unique software applications which target your organisation's needs, enabling you to work smarter, innovate faster and achieve more positive outcomes.
Who We Work With
We operate at the forefront of data science, developing tailored causal applications for Blue Chip Organisations in Defence and Aviation.
Our Products
Hawkrose designs digital applications which help organisations solve complex business challenges, make better decisions and streamline operations.
Our sophisticated software solutions have successfully helped enable digital transformation in organisations across defence, aviation and government infrastructure.
Aren
Shows large employers why their people really leave, and which retention initiatives give the best return for the money spent.
Discover ArenChine
Helps airline planning teams spot which of tomorrow’s flights are at risk of costly delay, and act the day before with evidence and confidence.
Discover ChineStriatus
Designs and tests airspace configurations automatically, exploring in minutes what would take traditional methods months, and finding better answers humans would never spot.
Discover StriatusOrnatus
Turns an airport’s flight schedule into a clear, whole-system picture of delay and capacity, so planners can see the knock-on effects of change before they happen.
Discover OrnatusWhy causal AI? The strategic case.
Standard AI and machine learning algorithms are, at heart, very sophisticated pattern-spotters. They learn what has tended to happen in the past and project it forward.
That works well when the future resembles the past. But the moment you want to change something — raise pay to keep your best people, reroute an aircraft, redesign your airspace or your network — those models start to guess, because they have learned correlations, not causes.
A correlation that held yesterday can break the instant you act on it.
