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Data governance,
made executable
and provable.

Powered by Data Recycling
Solution certified

Systnaps supports you with Data Recycling®, the operational governance platform, in your digital, Data/AI transformations — starting from mastering your data, through to the roadmap, its tooled implementation and your teams' autonomy.

Responsible Data & AI Digital resilience EU sovereignty
Data Recycling® · Dashboard
−40%
Data & AI project-time reduction
Up to
−50%
Data carbon & storage footprint reduction
<24h
First actionable results
250+
Native connectors available

Built for data decision-makers

  • CIO
  • CDO & Data teams
  • DPO
  • CISO
  • Risk & Compliance
  • Architecture leads

Labels, awards & partners

GreenTech Innovation label Solar Impulse Efficient Solution label Numeum member Caisse des Dépôts Planet Tech'Care La French Tech Innovative Solution — French GovernmentInnovative player Impact Awards 2023 Tech Sprint — Caisse des Dépôts Bpifrance UGAP

They industrialize their data governance with Systnaps

Dassault Systèmes Randstad Carrefour Securitas Brink's Eiffage INRAE
The tension

Data has become
a liability for your organization

Today, six tensions turn a strategic asset into cost, risk and a brake on transformation.

01

Regulatory pressure and audit burden

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02

Exploding volumes, costs and footprint

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03

Loss of business trust

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04

Architectural complexity and technical debt

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05

Stalled data and AI projects

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06

Unmanaged data lifecycle

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Do you recognise your organisation in one or more of these situations?

Tell us about your challenge
The product engine — what sets us apart

A catalog describes your data.
Data Recycling puts it under control.

For every contract, invoice, customer, claim or file in its value stream, Data Recycling creates an ODOM (Operational Data Object Model): an operational twin that links the business object to its data, rules, uses, lifecycle actions and evidence.

1Business object
2Data Object Modeloperational twin
3Data & applications
4Rules & requirements
5Lifecycle actions
6Evidence Packthe proof

Understand

Link business objects to their data, applications, processes, responsibilities and relations.

Govern

Attach rules, classifications, retention periods, trust levels and decisions.

Act & prove

Run quality, archiving, anonymisation, purge or reuse, then produce the proof.

Core technology — Data Object Model

The Operational Data Object Model automatically discovers your data structures, maps your IT landscape in real time and translates the technical into business language — no development, no code.

Our conviction

Data managed as
a resource

Systnaps applies circular economy principles to data management. Reduce useless data, leverage valuable data, control the full lifecycle.

Turning data chaos into a trusted resource.

The method

Industrialize governance
with the M4R® method

A structured five-step approach to control your data's full lifecycle — the circular economy applied to data.

Assess your Data maturity
M4R methodology by Systnaps - full diagram
MAP
Understand your data
Auto-discovery of data structures, dynamic IT mapping, technical → business object translation.
REGULATE
Apply your rules
Sensitive data (PII) discovery, obligation identification, risk classification and prioritization.
REDUCE
Reduce waste, defects and risk
ROT data reduction, secure purging, hot/cold tiering. Free up to 80% of your dark data.
REUSE
Reuse with confidence
Sharing, anonymization, subsetting for test environments. Reliable data for analytics and AI.
RECYCLE
Manage the lifecycle
Selective archiving, certified destruction, CO₂ tracking. Every action produces a signed Evidence Pack.
The technology proof

One product core.
Journeys for your priorities

Data Mastery is the foundation — map, structure and govern the data estate. The other packs are journeys you activate by priority.

What's your priority?
01Pack Data Mastery
Foundation

Data Mastery

Put data governance under control with a shared framework and joint business/IT steering.

GlossaryRolesSteering
02Pack Quality
Reliability · AI

Quality

Improve data reliability and quality for analytics and AI projects.

StandardizationAI datasetsConsistency
03Pack Efficiency
Cost & volume

Efficiency

Optimize costs and reduce the digital footprint by eliminating ROT data.

ROT dataIT costsFootprint
04Pack Protect
Reduce risk

Protect

Secure data and demonstrate compliance with audit-ready evidence.

PII / GDPREvidence PackNIS2
05Pack Move
Migrate / modernize

Move

Deliver successful cloud migration and IT modernization projects.

MigrationMove-to-CloudImpact
06Pack Evidence
Prove compliance

Evidence

Centralize evidence, formalize policies and strengthen your data governance for audits.

EvidencePoliciesAudit-ready
The results

Concrete results
for your organization

Evidence, not promises. Every figure comes from production projects at our clients.

Up to
−50%
carbon footprint of the data estate
Label GreenTech Innovation 2024
<24h
to first actionable results
Thanks to the Data Object Model and 250+ connectors
−40%
on Data/AI project timelines
Fast ROI with minimal effort

Four measurable benefits

  • IT cost reduction — storage, infrastructure, licenses. Up to −40% from the first campaign.
  • Regulatory risk control — enforceable Evidence Packs, full traceability, CNIL and ANSSI audit-ready.
  • Faster AI projects — qualified data, deduplication and masking for audit-ready ML pipelines.
  • Smaller digital footprint — Solar Impulse Efficient Solution and GreenTech Innovation labels.
Label GreenTech Innovation
Label GreenTech Innovation
French Ministry of Ecology · 2024
Solar Impulse Efficient Solution
Solar Impulse Efficient Solution
Solar Impulse Foundation · Ellen MacArthur
French Tech Grand Paris
French Tech Grand Paris
TechSprint 2023 winner · Caisse des Dépôts
Planet Tech'Care
Numeum · Planet Tech'Care
French IT Alliance · 2023
AI-ready

Reliable AI starts with
a data estate under control

An AI agent must not only access a piece of data. It must understand its context, its purpose, its relationships, its quality, its sensitivity and the conditions under which it may use it.

Business context Relationships & lineage Rules & policies Quality & classification Evidence & trust level
=
Reliable context for humans and AI agents

Data Recycling prepares the governed, actionable and proven context that AI can reason and act on. Not "better AI than the rest" — the foundation of trust they require.

They trust us

CIOs who took back control

Systnaps gave us a clear representation of our system and data model, including our historical customizations.

NF
Nicolas Faret
CIO · Groupe Randstad France
Read the case study →

Beyond innovation, there is an obvious economic benefit. We went from 2,500 to 1,400 days — a 40% saving.

CG
Christophe Guéguen
CIO · Groupe Securitas
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Dassault Systèmes has used Systnaps for years. Every project is productive; our 60 business units are optimized.

NM
Nicolas Malsch
CIO · Dassault Systèmes
Read the case study →

Take back control of
your data estate.

30 minutes, a Data/AI assessment, and first results within 24 hours. Eligible for BPI France funding.

European sovereignty · Sovereign cloud or on-premise · Eco-designed

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