Data Quality on live data.
Correction at the source.
Results in 48h.

Data quality solutions detect technical errors. Equanim detects errors that only a business expert can identify and organizes their correction by those who have the knowledge.
Real-time,
not retrospective
our difference

What we do ≠ traditional data quality solutions

Most providers deliver slides or a POC that never makes it to production. We arrive with something that works, within your architecture, and we define from the start who will maintain it afterward. 
Traditional solutions
Detect technical errors (duplicates, nulls)
Require a data engineer to configure
Report the problem, don't solve it
Multi-month deployment
Cost and complexity of a data program
With Equanim
Detects errors that only a business expert can identify
Works on live data (operational systems)
Configured in natural language by your business teams
Organizes corrections by those who have the knowledge
First results in 48 hours
Freemium – test before you invest
"We cleaned up our product master data across the entire group: 95% compliance in less than three months, without involving the IT department. Our purchasing teams handle the corrections at the source."
Davy Lange
Networks Management, Koesio
our convictions

Three convictions that guide every feature

Three core principles reflected in every feature of the platform, from quality scoring to source-level correction.
Those who
know, correct
01
Your teams make the corrections, your ERP gets better
Corrections stay within the system. With one click, business users go from the quality score to the source data and trigger the correction directly in the operational system.
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02
Reconcile your fragmented repositories
Equanim creates "mirrors" between your repositories: ERP, CRM, product databases, and EDI exports. Compare line by line, detect discrepancies, and synchronize.
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03
Initial results in 48 hours, not an 18-month program
Upload a file, create your checks in natural language, and get your quality score. The freemium model demonstrates value before any commitment.
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they contact us for

The problems we solve

Each issue links to its own dedicated page, featuring our detailed approach and client case studies.
Fragmented databases / multi-ERP environments
Multiple post-acquisition ERPs, divergent customer databases, and inconsistent data across systems.
Discrepancies with third-party systems
Your data does not match between your ERP and your partners (bank, FedEx, EDI).
Third-party file dependency / EDI
The quality of your data depends on files sent by your partners, with no guarantee of format.
Synchronization during ERP migration
The reference data to be migrated is imperfect. You shouldn't migrate your problems into the new system.
Customer database not qualified for e-invoicing
September 2026: Invalid SIREN/SIRET numbers = rejected invoices
Supplier catalog reconciliation
Your item references and those of your suppliers do not match.
how it works

A hot data warehouse:
corrective, not analytical

Equanim does not connect to your production source systems.
You export the data you want to improve.
We build a dedicated warehouse for its correction, with your business teams in the loop.
1
Export
Export your source data (file or dedicated database)
2
Quality checks
Create quality checks in natural language (AI suggests, you approve)
3
Score & anomalies
Quality score + list of anomalies by category
4
Correction at the source
1-click correction → improved source data
they trust us

Data quality for live
data: field-proven results

discover our case studies
Using your real
data
digital factory • tech mid-cap

Multi-ERP O2C automation

Ekinops automates its order processing across two entities with an end-to-end SAP integration.
94
Orders processed
Multi-ERP O2C
Automated
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insight • large international groups

Industrialized group closing
for 30+ entities

Moving from Excel dependency to a manageable, standardized closing process deployed across a multi-country group.
+30
Entities deployed
Group closing
Standardized
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equanim • mid-market digital services company

Reliable billing quality

Koesio has streamlined its quality control for telecom billing data, identifying over €100,000 in unbilled services in less than a week.
€100,000
Unbilled services identified
< 1 week
Initial results
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by the numbers

Typical results from our projects

These are figures observed during our recent projects, not brochure averages. Each number refers to a client case study detailed further up on this page.
48h
First quality score
48h
To get an initial quality score
< 5 months
Delivery applications in production (LNR)
200+
Referentials reconciled on the platform

Test Equanim with your own data.

Create an account, upload a file, and build your checks with AI. Get your quality score. No installation, no data engineer, no commitment.