Co-Founder - Athenix

Lachlan Teale

Lachlan Teale

Brisbane, Australia

Athenix - Make Better Investment Decisions

Focused on
Algorithmic Trading and Financial Literacy
Top skills
  • Machine Learning
  • Data Science
  • Financial Analysis
Main tools
  • Tensorflow
  • Docker
  • Python
  • Numpy/Scipy

Lachlan Teale is Co-Founder of Athenix which empowers retail traders to make better investment decisions through the use of automation, proper risk management system and backtesting on historical data. Lachlan's love for financial analysis has driven him to develop this product as a personal tool before learning the open market was interested in utilise such as product.

Lachlan is actively engaged in the investment and technology communities with a focus on Artificial Intelligence and Machine Learning. He is always open to giving talks about his experiences and guiding those who are looking to break into these industries (feel free to reach out).

He is currently studying a Bachelors of Business Management in Marketing and International Business from the University of Queensland, Australia.



Athenix empowers traders to make better investment decisions through the use of automation, proper risk management system and backtesting on historical data. We utilise a technology stack including Python, Go, React.js, Serverless architecture and AWS.

Athenix was announced as one of two startups accepted into the Suncorp Digital Incubator 2.0, announced on Friday the 11th of October 2019. During the 12 week program, we'll be focused on product market fit, UI/UX testing and customer testing to ensure we have the best possible product.

  • Status: live
  • Python
  • Machine Learning
  • Serverless
  • AWS
  • Statistics
  • React.js


Enso is a replacement of OANDA's FxTrade app which I viewed as clunky and overall had a very poor user experience. Enso aims to improve this utilising a modern infrastructure and frontend design as well as combining many brokers into the one location. Specific brokers that will be integrated are yet to be announced.

  • Status: in progress
  • React Native
  • iOS
  • Android
  • AWS
  • Serverless
  • Auth0
DUGG: Mine Site Optimisation

DUGG: Mine Site Optimisation

Only 0.2% of all mining data being utilised for decision-making onsite. Data is independent, with no correlations between datasets and significant information traffic. Dugg applies real-time data analysis to identify problems and provide accurate information of their cause. By correlating data, Dugg optimises onsite dispatching, allowing for quick and informed decision making.

Achieved second place at Unearthed Hackathon Brisbane 2018. Later aquired and inorporated into PETRA Data Science.

  • Status: acquired
  • Machine Learning
  • Python
  • React.js
  • AWS
  • Statistics
Work history

Mater Pathology

Business Analytics Lead
March 2020 - Present


September 2019 - February 2020

PETRA Data Science

Data Scientist
August 2018 - September 2019

UQ Space

Financial Director
November 2018 - May 2019


Machine Learning Engineer
February 2018 - August 2018
$ 120K