Computational Design

Computational design is not just a tool but an instrument which allows us to see things differently. It offers a way to generate, rationalise and analyse multiple design options, quickly and iteratively. No longer is it necessary to rely on antiquated rules-of-thumb. Parametric Monkey uses sophisticated digital tools to generate data-driven design solutions.

Generative Design

Certain building typologies are inherently parametric in nature. Parametric Monkey can help identify key parameters within the design and create project-specific scripts to generate the design, saving laborious manual modelling.

Geometric rationalisation

Sometimes certain parts of the design require a higher level of geometric definition in order for it to be fabricated and assembled. Parametric Model is experienced in embedding material properties and assembly constraints directly into the parametric model.


Understanding material and structural properties are important in finding an appropriate form. Parametric Monkey works with your team to understand how these properties can be optimised through physics-based simulation. This is not a substitute to professional engineering services, but rather preliminary simulation to inform the design process.

View analysis

Quantification of views is critical to both the feasibility of a project and also in gaining development approval. Parametric Monkey has developed a suite of tools to assess views including: 2D and 3D Isovist analysis; view shed analysis; and heat map analysis based on views to/from designated points of interest.

Programmatic Analysis

Ensuring the programmatic brief is met is a fundamental requirement of any architectural services. Certain building typologies, such as universities or hospitals, require a detailed understanding of the building program and associated areas. Parametric Monkey works with your team to visualise these requirements to aid the design team and ensure the brief is met.

Network Analysis

Understanding the relationship between an element and its context is critical to successful planning. Whether it is understanding fire egress distances, the shortest path through a masterplan or simulating crowd movement, Parametric Monkey can help your team understand the impact certain decisions have on the overall network.


Geographic Information Systems (GIS) allow us to visualise, question, analyse, and interpret spatial or geographical data to understand relationships, patterns, and trends. Parametric Monkey has extensive experience is managing large datasets produced by Airborne Laser Scanning (ALS) or LiDAR, such as city models, so that they can be used efficiently in the design process.

Machine Learning

Whereas most scripting involves writing an algorithm to tell the computer explicitly what to do, Machine Learning (ML) is able to automatically extract the algorithm through learning. Parametric Monkey is at the forefront of this cutting-edge technology. We work with you to compile a dataset from which the machine will learn. Through this process, it is possible to unearth patterns and generate new designs based on these learnt patterns.

SEPP65 Solar access

Parametric Monkey has a detailed understanding of the NSW's 'State Environmental Planning Policy 65 - Design Quality of Residential Flat Development' (SEPP 65) solar access requirement. We can help you run the simulation, update the BIM model, and produce the Design Verification Statement for Development Applications (DAs).


As the building industry moves towards performative design, panning authorities are now requiring more and more detailed analyses, especially around overshadowing. Parametric Monkey can assist in both simulating and quantifying the amount of overshadowing of both your building and the existing context.

Daylight autonomy

Daylight autonomy represents the percentage of annual daytime hours that a given point in space is above a specified illumination level. These studies can be useful when direct sunlight can not be achieved. Parametric Monkey can help your design team run preliminary daylight autonomy analyses to understand the affect materials and colours can have on lux levels. This is not a substitute to professional engineering services, but rather preliminary simulation to inform the design process.