Atombit

For European Industrial Manufacturers

The revenue, margin and foresight already sitting in the data you own.

Your installed base, CRM, ERP and machine data already hold revenue you can't see and margin leaking quietly. Atombit turns the systems you already run into both, without ripping out a thing.

+€0.0M
Spare-parts revenue · One market · 3 months
+0%
FORECAST ACCURACY IMPROVEMENT
See what we do
Clients we've delivered for

The 2026 Mandate

From "Equipment Maker" to "Recurring-Revenue Machine"

New-equipment cycles are slowing, input costs are up, and the value your board wants is sitting in the data you already own. Four pressures define the year and each has a trap that quietly costs you millions.

I · Data foundations
95%

of enterprise AI pilots deliver no measurable P&L impact.

The model is rarely the problem — the data layer is.

The ERP sits here, the CRM there, machine data elsewhere, and nothing governs the layer between.

The trapBuying AI tools before fixing the data layer, and funding dozens of scattered POCs instead of a few workflow-embedded, high-value use cases.

Sources: MIT NANDA, State of AI in Business (2025); McKinsey, State of AI (2025)

II · Commercial growth
76%

of sales organisations miss 75% forecast accuracy at 30 days.

Selling on gut feel, not on data

The median quarterly forecast error runs around 30%. Sales data scattered across regions and systems means nobody can say which opportunities will convert or where margin leaks.

The trapChasing every deal and raising list prices across the board, instead of concentrating effort on the highest-propensity, highest-margin opportunities and the pockets where price is genuinely being left on the table.

Sources: Gartner Revenue Leaders Survey 2025; Clari, State of Revenue 2025

III · Aftermarket service
2–3×

more profitable than equipment sales, across our own engagements.

The profit is in the installed base

Deloitte's 2026 outlook confirms the pattern: margins more than twice equipment sales, with predictable, less cyclical revenue. As new-equipment cycles slow, most makers still can't see which customers are due to buy.

The trapChasing new-logo and new-equipment growth while the installed base leaks, with no single view of what's installed, where, and its service entitlement.

Sources: Atombit client engagements, global equipment manufacturers; Deloitte, 2026 Manufacturing Industry Outlook

IV · Customer intelligence
40%

more revenue from personalisation, for the companies that excel at customer intelligence.

Loyalty and attribution run on intuition

Most manufacturers have no unified view of the customer across touchpoints, weak first-party data capture and manual personalisation. Marketing can't prove ROI or attribution, and lead-quality disputes with sales become routine.

The trapRunning loyalty, retention and lead qualification on instinct because the touchpoint data exists but was never stitched into one view, then blaming the channel mix instead of the missing model.

Sources: McKinsey personalisation research

Proven Impact

Four priorities. Four results we can point at.

Four challenges every industrial manufacturer recognises — and four domains where we've already delivered, inside the systems your teams already use.

up to 80%
Reduction in workflow time

Cost efficiency is a goal that runs through all four priorities.

Across every use case we deploy AI agents on the workflows your teams run today, cutting up to 80% of the time they take.

The challenge

The ERP, the CRM and the machine data don't talk, nothing governs the layer between, and the pilots stall before production.

What we do

Data and AI strategy

Assessment, governance framework, RACI and a prioritised roadmap.

Connecting data where it lives

A governed cloud layer over CRM and ERP, with reporting that maintains itself.

One governed source of truth

Products, processes and specifications in a single repository teams can trust.

Pilots →production
Analytics at scale

Chemicals, Germany. An Azure data ecosystem unified Salesforce and SAP data with automated reporting — the layer the stalled use cases had been missing.

One roadmap
Global B2B manufacturing

Customer master-data strategy, governance framework and a prioritised opportunity roadmap.

Alignment
Building materials

SAP master-data process discovery gave cross-department alignment and an objective view of the pain points.

Where does your data estate hurt most?

Click all that apply, then drop your email and we'll tailor the conversation.

We'll respond within 24 hours to arrange a tailored discovery call.

Why Atombit

Why Manufacturers Choose Atombit

A Proven Track Record

Measurable results for complex industrial estates — €1.8M here, +20% there, 8% back there. Numbers, not promises, on every engagement.

Zero Rip-and-Replace

We act as the intelligence layer on top of your ERP, CRM and machine data. No high-risk overhaul, no 18-month implementation.

Built for Lean Teams

Senior practitioners who handle the heavy lifting, so your teams stop maintaining legacy reports and start shipping results in months.

Anchored to the P&L

Aftermarket revenue, forecast accuracy, conversion, cost, churn. Every engagement is tied to a financial outcome your CFO recognises.

In Their Words

Client Testimonials

“The relationship is really well structured, and we work together as one team solving the most critical problems. Project management is really smooth — they say what they do, and they do what they say.”
Jerome Broussard
Jerome Broussard
Customer Management & Engagement Director, Sidel
“Our partnership has been invaluable. They have consistently provided essential analytical services for projects of utmost importance to Versuni — a true partner, with a high degree of flexibility and accuracy.”
Yasser El Boureidy
Yasser El Boureidy
Head of Market Analytics, Versuni

On the Road 2026

Tell Us Where You'll Be and We'll Meet You There

We'd rather talk over coffee at an event you're already attending than add another cold email to your inbox. Tell us which industry events are in your calendar this year, and we'll do our best to be there.

Which events are you likely to attend this year?

Name the event (and city if it helps) and we'll come back to arrange a time.

30-min face-to-face over coffee · No pitch, just a conversation

Before You Ask

The Questions Every Manufacturer Asks Us

How long until we see value?+
Weeks, not quarters.We ship a working model on a real slice of your data early, then scale what proves itself. The €1.8M spare-parts result above came within three months of starting, in a single market.
Do we need to replace or re-platform anything first?+
No.We work as an intelligence layer on top of the ERP, CRM and machine data you already run, whatever the systems behind them. No rip-and-replace, no 18-month implementation, and the foundations we build are designed to survive your next platform change.
We already have an SI and an internal data team. Where do you fit?+
Alongside them, not instead of them.Your SI keeps the platforms running; your data team keeps ownership. We bring the commercial analytics use cases, build them to production, and hand over something your team runs without us.
What does an engagement look like commercially?+
Scoped and staged.We start small: a discovery on one priority with a defined outcome, priced accordingly. You scale the engagement only when the first result has earned it. Every engagement is anchored to a financial metric your CFO recognises.
What happens to our data?+
It stays yours, and where possible it stays in your environment: we build inside your cloud tenancy under your security and governance policies.We take confidentiality seriously enough that we don't even name most of our clients on this page.

The 30-Minute Consultation

Where does the revenue, margin and AI-readiness gap sit in your 2026 plan?

I meet manufacturing leaders to show exactly where the opportunity sits across all four priorities: commercial, aftermarket, data and customer intelligence, using their numbers, not our deck.

“I don't do generic demos. Every conversation starts with your data, your challenges, your P&L.”

What happens on the call
  • ✓I listen first: your commercial, aftermarket, data and customer-intelligence priorities for 2026
  • ✓We pinpoint which of the four holds the biggest, fastest opportunity in your business
  • ✓No pitch, no pressure — an honest read on where data and AI would pay back first
Book a session and get a free coffee on me. Every discovery call comes with a complimentary coffee voucher, because good conversations deserve great coffee.
Limited Q3 2026 discovery slots available