Waste composition intelligence

See material flows with less friction

We're building a clearer way to understand what moves through landfills and transfer stations. By combining deep field experience with state-of-the-art AI, object detection, and automation, we aim to produce composition data that is easier to repeat, compare, and use.

Discuss a pilot Explore the approach

Built for councils, operators, and planning teams.Designed for ongoing monitoring, not one-off snapshots.

Built on field knowledge, not theory alone

This approach grows out of long-term hands-on waste assessment work, then extends it with AI-assisted analysis, object detection, and automation so it can be used more consistently and at larger scale.

Consistent capture

Structured observation and classification help reduce drift between sites, teams, and reporting periods.

Repeatable outputs

Results are designed to be comparable over time, so changes in material flows are easier to interpret.

Decision-ready reporting

Reporting categories stay familiar enough for operational, policy, and planning use.

Useful for real operating questions

We're shaping the system around everyday operating decisions, where better composition data helps teams respond earlier, plan with more confidence, and focus effort where it matters.

Seasonal monitoring

Track how incoming materials shift across the year and pick up recurring patterns that static studies miss.

Diversion analysis

See which materials are still entering disposal streams and where intervention efforts may have the most value.

Infrastructure planning

Support future planning with evidence about composition trends, not just total tonnage.

Pilots

Now being trialled in real conditions

We're developing and trialling the system with industry collaborators, including Auckland Council, to make sure it works in real site conditions and produces insight people can trust.

01 Site-based testing
We're testing the method and tooling in environments where throughput, variability, and operational constraints are real.
02 Partner feedback loops
Partner feedback is shaping how results are captured, interpreted, and used in day-to-day decisions.
03 Measured expansion
In the near term, we're focused on working with organisations that want stronger waste data and are open to exploring pilot opportunities.

Interested in a pilot or early conversation?

If your team is working on waste data quality, diversion performance, or longer-term infrastructure planning, we'd be interested in talking about where more consistent composition measurement could help.

Email us Talk to us 021 268 2957