Engineering systems that shape the built environment are becoming more complex, more constrained, and more expensive to get wrong. Yet early-stage design, where the most critical decisions are made, is still dominated by manual workflows, static assumptions, and fragmented tools.

We started this company to change that.

Our work is rooted in a simple belief. Design should be computational rather than repetitive. Instead of engineers manually assembling systems and validating them after the fact, design intent, constraints, and performance targets should be encoded into algorithms that generate, test, and optimise solutions in real time.

At its core, our platform translates engineering rules, physical constraints, and operational requirements into algorithmic design logic. This enables complex systems to be automatically configured, evaluated, and optimised long before detailed design begins.

The result is a fundamentally different way of working. Design decisions become explicit rather than implicit. Trade-offs are visible rather than hidden in spreadsheets. Performance is evaluated continuously rather than retrospectively.

We are not replacing engineering judgement. We are augmenting it by giving engineers and decision-makers a system that can explore thousands of valid design options, validate compliance, and optimise for performance, efficiency, and resilience.

Our initial focus is on infrastructure systems where early design decisions have long-term operational and energy consequences. Over time, the same approach can be applied wherever complex technical systems must be designed under uncertainty, time pressure, and competing constraints.

We are building tools for a future where design is faster, more transparent, and fundamentally more intelligent, driven by algorithms, informed by data, and guided by engineering expertise.