About Datasphere Analytics

We Build the Intelligence Layer for Commodity Decisions

Datasphere Analytics turns global events into defensible procurement and risk decisions,
for the teams that can't afford to be wrong.

Meet the team
Who We Are

About Datasphere

Datasphere Analytics is a commodity intelligence company built for the teams that move markets — procurement leaders, finance managers, and risk officers in industrial companies who make high-stakes decisions every day.

We combine time-series models with real-world event intelligence to turn global signals — supply disruptions, policy shifts, market movements — into structured, actionable forecasts. Not just numbers, but context. Not just data, but decisions.

Operating from Münster, Berlin, and New York, we work with industrial companies across energy, metals, agriculture, and chemicals. We want to give every team the same intelligence edge — not as a black box that replaces judgment, but as a transparent layer that builds confidence, drives change, and puts decision-makers back in control.

How we think

Principles Behind Everything We Build

Accuracy is hygiene. Defensibility is the buying reason.

A forecast that's right 99% of the time is only valuable if the decision-maker can stand behind it. We build for accountability, not just precision.

1

Volatility doesn't drain capacity. Noise does.

The bottleneck in commodity decisions isn't market complexity — it's the hours spent collecting, sorting, and re-explaining information that should already be structured.

2

Safe change over better tech.

Organizations don't adopt intelligence tools because they're powerful. They adopt them because they feel safe. We design for low-regret entry — into routines that scale, not disruptions that stall.

3
the problem
Industrial companies spend billions on raw materials. Most of them make those decisions with incomplete information, supplier-side data, and instincts sharpened by experience, but not by intelligence.
Prof. Dr. Reiner Kurzhals
Founder, Chief Revenue Officer
the Mission
We didn't start Datasphere because AI was trending. We started it because procurement and risk teams deserved better than morning routines built around five browser tabs and a gut feeling.
Lukas Haemisch
Founder, Chief executive Officer
tHe Solution
The problem was never a lack of data. It was a lack of signal — structured, causal, actionable intelligence that arrives before the decision, not after the damage.
Prof. DR. Reiner Kurzhals
Founder, Chief Revenue Officer
Thought Leadership

We Pubslish
What We've Learned

Artificial Intelligence

If You’re Checking Price Charts, You’re Already Behind

There’s a familiar scene in commodity teams: someone has a price chart open, watching the slope, waiting for confirmation. Maybe the curve starts drifting upward; maybe support levels break; maybe a trader posts a comment that spreads quickly across internal chats. Small signals accumulate, and then the decision questions begin: Is this the start of a trend? Is it temporary? Do we move now?

Artificial Intelligence

Don’t Wait for the Chart

In volatile markets, decisions often happen later than they should. Not because teams fail to see what is happening, but because they wait for confirmation before acting. There is a familiar moment many procurement and trading professionals recognize: you sense that something in the market is shifting. A government official hints at export restrictions, shipping times quietly stretch, a supplier casually mentions maintenance that sounds like an outage. The signals are subtle, but they point in a direction. You feel it. Yet, because there is no clear chart movement or consensus interpretation, the decision is postponed. And while the organization waits for justification, the price moves.

Artificial Intelligence

The Real Commodity Problem Isn’t Volatility – It’s Noise.

Most companies watching commodity markets are not suffering from a lack of data. They have price feeds, analyst reports, internal forecasts, dashboards, procurement KPIs, risk models. If anything, there is more information available today than ever before. And yet, the actual decisions — when to buy, when to hedge, when to pause, when to renegotiate — often feel just as uncertain as they did ten years ago.

Locations

Where We Work

Operating from around the world.

We have offices in New York, Berlin and Münster.

A conversation to begin - Let's explore what's possible

One short call is enough to see if there’s a fit. Share your details and we’ll reach out personally to introduce the DSA approach and explore how forecasting and AI can support your team.

No obligations, just a conversation.
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