DELINEATE: Machine Learning & Predictive Analytics Made Easy



FOUNDED IN (Year): 2021

FOUNDER’S NAME: Simon Thompson

THE IDEA: What is the problem being solved by your startup / business?:

Creating machine learning models to predict churn, forecast sales, analyse customer sentiment etc. has typically been the domain of data scientists and python developers with very complex and expensive toolkits.

Creating these models typically takes a lot of time and money (3-6+ months and $10k -$100k+), and the majority of these models never make it into production because they’re cumbersome to implement. Delineate aims to solve this problem.

THE FOUNDER’S STORY: When and how did you come up with the idea for the business?:

Simon and Anish founded Delineate after experiencing firsthand the challenges of harnessing predictive analytics in the companies they worked for.

Frustrated by the complex processes and expensive resources required, they sought to create a powerful, no-code solution for businesses of all sizes. Delineate is the result of their vision—a user-friendly, cost-effective platform that democratises machine learning and empowers data-driven decision-making.

WHO IS THE CUSTOMER: What is the typical profile of your target customer? Where would they be located?:

Predictive analytics, Machine learning, Artificial intelligence, Data automation, Data analytics, ETL (extract, transform, load)

LESSONS TO SHARE: What 3 key lessons from your startup journey you’d like to share with aspiring entrepreneurs?:

Delineate offers an easy-to-use platform for generating machine learning-driven predictive models for a range of purposes. Enrich your CRM data with churn predictions, sales forecasts, and even build data products for your customers and team, just to name a few.

With Delineate you can access data-driven insights to improve decision-making with ease. The platform caters to founders, revenue teams, product managers, executives, and data enthusiasts. Try Delineate and unleash your data’s full potential.


HQ City: Melbourne, Australia

Website URL:

Number of Employees: 1-5