From the headline to your bottom line, in six steps or fewer.
Cross-domain cascade analysis, with every claim cited. Elite foresight for teams without a retained advisor.
Tension with Iran today could reshape food brand ownership by late 2026.
Example chains. Illustrative of the platform's reasoning, not surfaced predictions. The first live Chainge chains ship in summer 2026.
Six steps. Or fewer.
In 1973, the sociologist Mark Granovetter argued that the most valuable information moves through weak ties between clusters, not the dense ties inside them. Fifty years later, it still holds. What's new: an AI system can now trace those ties at scale, on demand, without a research department.
Any global event reaches your local exposure in six steps or fewer. We find those steps.
Cross-domain impact analysis is what elite consultancies sell for six- and seven-figure retainers. Maps of how a regulatory shift in Brussels lands in industrial input costs in Eindhoven, then in consumer brand M&A in New York. Chains of cause and effect, built from public information, then sold back to clients who could build them in-house if they had the time, the team, and the patience.
The information is largely public. The deals are not. We surface the chains, with every claim cited, at a fraction of the cost. Robin Hood, for strategic foresight.
"The strength of weak ties," Granovetter, AJS, 1973
Profile. Diagnostic. Cascades.
Chainge turns your structured exposure profile into a weekly cross-domain cascade briefing. The profile runs in your own AI tool, a diagnostic challenges it, and from then on the global signal corpus runs against your specific shape every week. Behind the briefing: a four-stage AI pipeline wired to primary sources (EUR-Lex, FRED, GDELT, Polymarket). Every claim cited. Every chain scored.
For the people without an advisory team.
McKinsey serves the Fortune 500. We serve everyone else. Operators building strategy on the back of a napkin. Mid-market teams who can't justify a six-figure retainer. Analysts who want a methodology layer they can actually show their clients.
"Q4 input contracts get repriced next quarter. I don't have a CFO who reads central bank releases at breakfast. What should I be watching that I'm not?"
iftensions with Iran escalate, sanctions enforcement tightens, Brent lifts $15-25 per barrel, European specialty chemicals get squeezed, and Anne's Q4 contracts reprice at +18%.
Tensions with Iran escalate
Geopolitical risk ripples into commodity markets within days.
Sanctions enforcement tightens
EU and US scrutiny on Iranian energy chains rises.
Brent crude +$15-25/bbl
Oil holds above structural fair value into Q3.
Specialty chemicals squeezed
Petrochemical input costs propagate downstream into Anne's solvent contracts.
Q4 input costs +18%
Two quarters of margin pressure, surfaced before the board sees it.
"Twelve hundred stores across DACH and Benelux. What's coming in 2027 that I'm not pricing yet?"
ifRussia escalates strikes on Ukraine's grid, the EU rushes an emergency gas package, TTF gas runs 40% above seasonal, fertilizer producer margins compress, and Pieter's 2027 grocery basket gets revised.
Russia escalates grid strikes
Ukrainian power capacity drops sharply into winter.
EU energy security package
Emergency gas storage refill mandated across member states.
TTF gas +40% over seasonal
European wholesale gas trades well above the five-year average.
Fertilizer margins compress
Eastern European producers pass higher input costs into 2026 contracts.
2027 grocery basket revised
Pieter brings supplier negotiations forward, protects retail margin.
"Wall Street is pricing Irish budget airlines on fuel and capacity through 2027. Are there developments that could affect them that the market isn't pricing in?"
what Niamh sees that the market doesn'tData centers in Dublin and Frankfurt are about to drive up cabin crew wages, compressing European budget airline margins into 2027. Wall Street is modeling fuel and capacity. This sits in their blind spot.
ifhyperscalers keep expanding EU data centers in cities like Dublin and Frankfurt, those same cities run short on water and grid capacity, utilities raise tariffs, local inflation outpaces the country, cabin crew based in those cities demand higher wages, and budget airline margins compress while legacy carriers absorb.
Data center build in Dublin + Frankfurt
Microsoft, Google, AWS confirm 2026-28 builds. Each facility consumes the water and electricity of a small town. The buildout is concentrated in cities that also host major European airline hubs.
Water and grid tariffs rise
Cooling and power demand outpace local capacity. Utilities raise tariffs to fund expansion. Costs propagate into every water- and power-intensive business in those cities.
Local inflation runs hotter
Higher utility costs flow through food, hospitality, manufacturing. Regional inflation measurably outpaces the national average. Workers feel it in their grocery bills first.
Cabin crew demand higher wages
Crew based in those exact cities push for above-trend 2026 raises to keep up with their cost of living. Wage negotiations are sticky; once they reset higher, they stay higher.
Budget airline margins short
Ryanair and Wizz run on the thinnest margins in European aviation. A 5-8% wage step-up compresses them meaningfully more than it compresses Lufthansa or IAG, who can pass costs through ticket prices.
First public verdicts: W27 of 2026.
Every prediction in a chain runs to a verdict horizon, capped at 90 days. When the horizon arrives, we mark it: right, partial, wrong, or unclear. Mechanical, not narrated. No retroactive editing.
in motion now: W19, W20, W21 published. W22 generating. first verdicts land W27 of 2026. rolling forward from there.
W19 · 2026-05-08 EU tripartite trade stack tests German Mittelstand lobbying, lands in a Brabant SME. →
W20 · 2026-05-11 Trump-Xi summit ring-fences REE access. Brainport NdPr suppliers squeezed; CRMA Strategic Project relief lags. →
W21 · 2026-05-18 Bilateral US-China rare-earth deal extends the pattern. Non-Chinese provenance becomes a 2026-2027 commercial opportunity. →
One profile. One diagnostic. One chain.
Anne runs Brabant Advanced Materials, a specialty chemicals SME in Eindhoven. We took her through profile ingest, a diagnostic, and the cascade that came out, including the regulation the diagnostic caught that she hadn't listed and the German lobbying fight that decides her outcome.
Why this can't be copied.
The AI part is replicable. Anyone with an API key can build a version of this. The moat sits behind it: primary data sources, a public methodology track record, and a contribution flywheel that compounds with use.
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01 · data flywheel
Contribution-based pricing. Users who feed signals back pay less. The platform compounds with use. Wikipedia meets prediction markets, for strategic intelligence.
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02 · methodology track record
Every chain timestamped, every prediction publicly verifiable. The track record compounds. The longer we run, the harder we are to displace.
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03 · primary data, not headlines
Regulatory filings, central bank releases, shipping data, commodity prices, satellite imagery. Reasoning from structured primary sources is the credibility gap. It separates Chainge from any wrapper around a chatbot.
Built by Niels Langereis.
Eighteen years building platforms, integrating businesses, and shipping technology, across PE-backed groups and global agency networks. The longer Niels did it, the harder one observation got to ignore: most of what consultancies sell as proprietary analysis isn't. It's labor, on public information, priced for institutional buyers. Chainge automates the labor and prices it for everyone else.
Most recently, group-wide AI governance and platform strategy at Normec Group across 70+ entities. Before that: CEO at New Story, CEO at Hogarth (WPP) Netherlands, Managing Director at Wavemaker (WPP), and earlier senior roles at Publicis (Amsterdam, Dubai).
In 2004, the same year James Surowiecki popularized the idea in The Wisdom of Crowds, Scott Page and Lu Hong published a result that Page himself didn't initially believe: a randomly chosen, diverse group of problem-solvers consistently outperforms a homogeneous group of the best individual experts. He ran the simulations again before publishing.
A younger Niels had heard a version of this years before, told as a story about a research team in European banking that supposedly mixed economists and lawyers with historians, anthropologists, and political experts, all looking at the same question from a different side of the table. He was never able to verify it, but he also never stopped thinking about it. His master's thesis on creative mass collaboration argued the same point in a different domain. Chainge is that room, opened up.
The team is small.By design. Chainge's moat is the contribution flywheel, not employee headcount. Currently one founder, a working advisory circle, and the first design partner conversations underway.
research preview · no signup form yet. You reach Chainge through Niels, and the diagnostic and briefing land via direct conversation. The path will change once we open to subscribers; the thesis won't.
If you back cross-domain intelligence platforms, we should talk.
Chainge is in research preview. We're building a small group of design partners, and a small backing syndicate around the thesis, the data infrastructure, and the contribution economy. Direct line to Niels.
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