We build the new intelligence layer
for procurement, risk & trading.

20+ YEARS ACROSS MACHINE LEARNING, ACADEMIC RESEARCH & INDUSTRIAL MARKET EXPANSION

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 Publish
What We've Learned.

Artificial Intelligence

The Half-Life of a Forecast

Every forecast is a statement about the future made at one moment in time — and events erode it from the day it is published. In H1 2026, a single month was enough to move the leading Brent outlook by $27 per barrel. Why every commodity price forecast has a half-life, what determines it, and what procurement and risk teams should do about it.

Predictive Analytics

What Procurement Leaders Monitor Before Markets React

Procurement teams are shifting from static supplier reviews to real-time monitoring of geopolitical and freight-related risks. The advantage comes from interpreting market events before they fully appear in prices or lead times.

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.

Locations

Where We Work.

Operating from around the world.

We have offices in New York, Berlin and Münster.
Media

Datasphere in the press.

Von der Excel-Tabelle zum befragbaren Markt

Kontrakt fixieren oder abwarten? An dieser Frage hängt im Rohstoffeinkauf des Mittelstands oft das Jahresergebnis, beantwortet wird sie vielerorts mit einer Excel-Historie, in der nur steht, was war. Wie nachrichtenbasierte Prognosen mit Hilfe von Künstlicher Intelligenz Richtung und Risiko früher sichtbar machen, erklärt Lukas Haemisch von Datasphere Analytics.
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„Schnecke statt Unicorn“: Warum diese Gründer keinen VC wollten

Gründer jagen VC-Millionen hinterher. Lukas Haemisch entschied sich dagegen und nahm stattdessen einen einzigen Business Angel an Bord.
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Der blinde Fleck im Rohstoffeinkauf

Einkäufer haben heute mehr Marktdaten und Nachrichten zur Verfügung als je zuvor. Doch im Tagesgeschäft zählt oft nur eine Frage: Was bedeutet diese Meldung jetzt konkret für meinen Preis, meine Verhandlung und meine nächste Entscheidung?
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„Eine KI für Rohstoffpreise“

Datasphere Analytics sagt Rohstoffpreise auf Basis von Nachrichtenströmen vorher. Würde Expertin Daniela Bach investieren?
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Wer entscheidet künftig schneller über Milliardenmärkte?

Datasphere Analytics entwickelt KI für Rohstoffmärkte und unterstützt Industrieunternehmen bei datenbasierten Entscheidungen
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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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