Codehaus Pty Email Formats
IT Services and IT Consulting • 
Adelaide, South Australia, Australia • 1-10 Employees
Codehaus Pty Email Formats
Codehaus Pty uses 1 email format. The most common is {first name}.{last name} (e.g., john.doe@codehaus.co), used 100% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@codehaus.co | 100% |
Key Contact at Codehaus Pty
Mathew Pink
Owner / Software Architect
Company overview
| Headquarters | 50 Mawson Lakes Blvd, Innovation House, Mawson Lakes, South Australia 5095, AU |
| Phone number | +61874444201 |
| Website | |
| NAICS | 5415 |
| Keywords | Software Engineering, Consulting, Machine Learning, Microservices |
| Founded | 2016 |
| Employees | 1-10 |
| Socials |
About Codehaus Pty
Codehaus is a software development consultancy providing professional services to government, including the Department of Defence. Our team of experienced engineers is constantly growing as we aim to provide quality personnel to our government partners. From requirement elicitation through to software verification and validation, we can assist at any stage of the software development lifecycle. Our engineers are highly proficient in numerous languages and frameworks, including: - Python / TensorFlow - Modern C++ - TypeScript / JavaScript - Microservice Architectures - Containerised deployment such as Docker and Kubernetes - DevOps - Angular / React / Ionic - IoT Codehaus has a rich history of software consulting services, providing quality people and outcomes to clients. We have clients across multiple sectors including Defence, Government and private industry. We can provide the consulting services for the following: - Software Project Management - Software architecture design and critique - Software modernization plans and recommendations - Ongoing software engineering engineering support Using modern machine learning techniques, we can help discover unseen patterns in your organisation's data. This in turn can lead to cost saving opportunities such as predicting customer behaviour and predictive maintenance. We have a specific interest in ML at the edge, combining ML and IoT devices. We Specialise In: - TinyML - ML for IoT applications - ML techniques eg supervised learning and unsupervised learning - ML frameworks such as Tensorflow and TensorFlow Lite - MLOps – bringing engineering rigour to the science of machine learning
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Funding Data
Codehaus Pty has never raised funding before.
United States
Spain
South Africa
Frequently asked questions
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