Find where your industrial business is losing value, and fix it.

We work with leaders and investors in metals, recycling and manufacturing to find where growth stalls and margins leak, across commercial, operations and market data. We size the problem, build the evidence for the decision, and stay through execution. Operator-led. Chicago · Toronto.

Bring one problem. In 30 minutes you’ll know whether it’s worth solving and whether we’re the right team.

How we help

Industrial process line

Industrial Value-Creation Diagnostic

When a costly problem is buried across commercial, operations, or market data, we quantify it and map practical next steps.

Welder working inside a large steel pipe

Cross-Functional Transformation

When an expensive problem spans functions and lacks a clear owner, we provide one accountable lead to drive the fix through implementation.

Abstract data network

Industrial Market & Decision Intelligence

When fragmented internal and external data obscures where the market is moving or where value is being lost, we connect it into a recurring decision system your team can use.

Proof: a multi-year engagement with a major global metals recycler

A large recycler could not see, in one place, where scrap was generated, traded and consumed, or how its own position compared with the market. Over four phases we turned fragmented internal and external data into a recurring decision system, now running in the client’s enterprise environment.

The point was never the dashboard. It was giving leadership a repeatable, evidence-based view of where growth was stalling and where to act.

2022–2026

Four phases

Deployed in the client’s enterprise environment

Who you work with

A founding team with PhDs in metallurgy and materials science and deep, hands-on experience in metals, recycling, refractories and materials, from plant floors and commercial leadership at Rio Tinto and at RHI and Magnesita (now RHI Magnesita) to multi-year market-intelligence work for a major global metals recycler.

Bring us one expensive problem.

In 30 minutes you’ll know whether it’s worth solving and whether we’re the right team.