What happens next?
Forecasting, scoring and other predictive models for decision-ready outcomes.
About Graphite Note
Graphite Note is a decision intelligence company. We help commercial and operational teams design and execute real business decisions using predictive analytics, AutoML, causal machine learning and optimisation.
Our position
Dashboards are useful for reporting. Chat interfaces are useful for interaction. Neither automatically solves the quantitative work required to forecast an outcome, isolate causal drivers, compare interventions and estimate business impact.
That is the layer Graphite Note focuses on.
Forecasting, scoring and other predictive models for decision-ready outcomes.
Causal workflows for intervention questions where correlation is not enough.
Decision logic that combines expected effect, constraints and feasible actions.
Founders
A second-time founder with a Masters in Astrophysics and over 20 years of experience in business intelligence and data visualisation. As the CEO of Qualia Data Sciences from 2012 to 2021, Hrvoje launched four SaaS products, serving over 15,000 clients. Hrvoje brings a unique insight into the problem Graphite Note solves and the opportunity it presents for SMBs.
Also a second-time founder, Vinnie is an experienced start-up entrepreneur and sales scientist. He served as the CEO of Donseed from 2007 to 2013, which was sold to Causeway Technologies in 2014. Later, he was the VP Sales at Taxback International and a Sales Growth Consultant. Vinnie has a proven track record in execution and growth.
Security and governance
Graphite Note operates certified information-security and AI-management systems.


Graphite Note works directly and with solution partners to deliver decision-intelligence projects and embedded capabilities.
Where we work
Forecasting, customer prioritisation and decision support for commercial teams.
Use predictive and causal models to prioritise operational changes.
Turn large customer datasets into actionable targeting and audience decisions.
We will tell you whether the data can support it and what the sensible modelling route looks like.