We turn heavy industry's existing data
into profitable AI solutions.We turn heavy industry's existing data into profitable AI solutions.

Based in Copenhagen, Denmark, working globally.

Consultants with 25+ years of combined AI experience | 80+ projects | Work delivered in 20+ countries.

What we do

Two ways into the work

Start with what you can buy or how we do it. Either path leads to the same conversation.

What you can buy

Offerings

A Fractional Head of Data & AI - strategy, feasibility, PoC, productionisation and adoption. Engage the whole thing or any one piece.

See offerings

How we do it

Capabilities

Aim it. Build it. Make it stick. The full continuum: strategy that names the few right bets, engineering that ships into production, and adoption that gets it used.

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The foundations

Built on what we know

The platforms we ship on, the firms we came from, and the operators we've served.

Capabilities

Backgrounds & experiences

Clients

Navajo Mine

Spring Creek Mine

Real work. Measurable outcomes.

A snapshot of recent cases across mining and industrial clients - from predictive maintenance and centrally governed data platforms to AI-assisted quoting and Copilot upskilling.

Predictive MaintenanceOpen Surface Coal Mine

Predictive maintenance for mobile equipment using AI

As one of the largest coal producers in the US, the company operates more than 100 haul trucks. Equipment monitoring relies on oil samples, work orders, and telemetry alerts that are largely reviewed manually. Inconsistent oil analysis and alert overload make it difficult to identify degradation early, leading to reactive maintenance and costly unplanned component failures.

+80%

prediction accuracy for identifying upcoming mobile equipment failures

25%

reduction in unplanned maintenance costs for mobile equipment

Read full case

Data Quality & Field OperationsMining OEM

AI-assisted scan validation improving turnaround time and data quality

The OEM deploys field engineers globally to scan mining equipment using 3D scanners for asset health and utilization. Scan quality varies due to site conditions and setup, and issues are often discovered only after the engineer leaves. Poor scan quality leads to rework, manual correction, and slow turnaround from scan to final report.

Days → minutes

lead time from scan to final report

Higher

share of high-quality scans across sites and extended asset lifetime

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Data Platform & GovernanceMining Energy Company

Centrally governed data platform in Microsoft Fabric enabling analytics & AI at scale

The company operates multiple mines following acquisitions, with different equipment, systems, and data sources across sites. This fragments operational and financial data, making it difficult for management to gain consistent insights into maintenance and financial KPIs. At the same time, AI initiatives are driven locally, limiting scalability and group-level governance.

Central

visibility and control across mines and equipment

Scalable

centrally governed AI deployment across sites

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Customer Retention & MLOpsIndustrial Distributor

From churn-prediction pilot to fully automated AI in production on Azure

A global B2B industrial distributor had validated a customer churn AI model in a successful pilot, but the solution was maintained externally and run semi-manually. Retraining and inference required hands-on intervention each month, data extraction depended on a single internal owner, and recurring source-data quality issues forced constant firefighting - making it difficult to scale the insights across the commercial organisation.

Manual → fully automated

end-to-end pipeline from extraction to Power BI refresh

Production-ready

self-owned on Azure with logging, monitoring, and documented handover

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Sales Automation & Pricing AISpecialty Materials Distributor

AI-assisted quoting that cuts manual effort and standardises customer pricing

A Danish specialty materials distributor prepared customer quotes through a heavily manual process that consumed time from multiple people, including senior management. Each quote meant looking up current supplier prices, applying margin rules, factoring in fluctuating energy and gas costs, and drafting an offer by hand. The flow was slow, inconsistent between sales reps, and dangerously dependent on a few key people being available - making it difficult to respond quickly to customers or scale the business without adding headcount.

Hours → minutes

quote generation, from manual pricing work to instant AI-assisted recommendation

Key-person independent

quoting workflow no longer bottlenecked on senior staff availability

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Installed Base & Service GrowthIndustrial Machinery Manufacturer

Installed Base Proof of Concept unlocking the path from 7% to 13% service revenue

A Danish industrial machinery manufacturer wanted to nearly double its share of service revenue - from 7% to 13% of the business - but had no consolidated view of its installed base. Information about sold machines, components, service history, warranty status, and spare-parts needs lived scattered across Business Central, K- and R-drive folders, Excel sheets, and the heads of a few key employees. Service technicians arrived on-site without checklists, sales had no way to spot the highest-potential customers, and management could not steer the service business with reliable KPIs.

DKK 1.8–2.5M

near-term service revenue opportunity surfaced from a single installed-base use case

368 machines

consolidated into one Power BI source of truth, replacing Business Central, K/R-drive, and Excel silos

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AI Adoption & UpskillingIndustrial Machinery Manufacturer

Tailored Microsoft Copilot training that turned curiosity into daily AI use

Despite strong management ambitions to use AI strategically, day-to-day adoption inside the company was very low. Microsoft Copilot was available but rarely used, and teams across design, sales, service, and operations had no shared understanding of where AI could realistically help in their work. Without lifting baseline AI fluency, every other AI initiative - from the installed-base programme to future automation - would struggle to land.

+69%

increase in self-reported AI competence after training

+63%

increase in self-reported Copilot usage - many users moved from weekly to daily

Read full case

Bring us the asset you worry about most.

That is usually where the clearest, fastest-paying use case is hiding.

We're a team of AI consultants and engineers focused on heavy industry. Tell us what you run and where it hurts - we'll tell you the smallest first move that pays.

Book a meeting

We turn heavy industry's existing datainto profitable AI solutions.We turn heavy industry's existing data into profitable AI solutions.

Two ways into the work

Offerings

Capabilities

Built on what we know

Capabilities

Backgrounds & experiences

Clients

Real work. Measurable outcomes.

AI-assisted scan validation improving turnaround time and data quality

Bring us the asset you worry about most.

We turn heavy industry's existing data
into profitable AI solutions.We turn heavy industry's existing data into profitable AI solutions.