Machine Learning

Your strategic partner in AI and ML

Machine Learning


Adopting a predictive data culture is now foundational to growth and even survival.

"Building a culture of predictive data is foundational to your organization's growth - potentially even its survival. Without strategy as a starting point, machine learning risks becoming a tool buried inside a company's routine operations: it will provide a useful service, but its long-term value will probably be limited." - McKinsey & Co.

Meanwhile, there is a talent war going on and not enough expertise made available to meet the demand.

Artificial Intelligence is no longer an option

What We Do

Forestry ML builds
AI-driven organizations

We are your guide along the path from data collection to processing, pipelining, model building, and deployment, while relentlessly driving towards radical impact. We are rooted in data - and with Forestry's help, you can be too.





Our clients span industries as varied as finance, health, e-commerce, and education technology.

We work with not only companies generating billions of dollars of revenue, but also start-ups raising their very first venture round.
Our clients
Education technology
Our clients
Education technology


We transform top organisations with data science, machine learning, and artificial intelligence.
01. Design and Build
02. Retaining
03. Partnerships
04. Education/Workshops

We Work

Strategic Partnership

A true AI strategy that leverages machine learning to create business outcomes with data-driven and predictive decision making requires a long term relationship.

No matter the size of the company, each has its own complexities and requisite domain expertise that the scope of a single project could not adequately hope to capture.

Tactical Engagements

If the leaders of a company have identified an opportunity to unlock value with machine learning, a more traditional project based statement of work is the approach that Forestry will take.

These engagements begin with a discovery phase, then work through an agile design & build lifecycle. When the model or system has met performance goals, we work closely with the technology organisation to inform and implement a production-ready execution/serving environment.