We label maturity honestly
Every capability is marked available, early access, preview or planned. No inflated badges.
- Home
- Why Inafera
Modern MDM. Without the multi-year programme.
Established MDM platforms are powerful, and often heavy. Inafera Data is built for mid-market teams that need governed master data and AI readiness in weeks of focused work, not years of configuration.
Shorter road to ROIScoped pilot on one real problem
ExplainableEvidence behind every decision
No lock-inAny agent, any cloud
The problem
Your customers do not live in one system. Their data does not either.
CRM, service, billing, marketing and internal databases each hold a piece of customer identity. Duplicates multiply, attributes conflict and teams spend their time debating which record to trust.
- Duplicates and fragmented profilesThe same customer appears three, five, ten times across systems.
- Manual reconciliation that never endsAnalysts and stewards clean the same records again every quarter.
- AI built on untrusted contextCopilots and agents answer confidently from whichever record they find first.
One customer · four systems● 4 conflicts found
| Source | Name | Phone | |
|---|---|---|---|
| CRM | Emily Carter | e.carter@acme.com | +1 212 •••0142 |
| Billing | E. Carter | e.carter@acme.com | +44 20 •••3381 |
| Support | Emily Carter | emily.c@gmail… | +1 212 •••0142 |
| Marketing | Emilie Carter | e.carter@acme.com | — |
Which one should your next AI agent believe?
A modern alternative
Already know the big MDM names? Here is why teams talk to us.
Established platforms are powerful, and often heavy. Inafera Data is built for mid-market teams that need governed master data and AI readiness without a multi-year programme.
Shorter road to ROI
Start with one well-defined customer-data problem, agree baseline metrics up front, and measure the pilot against them. You decide on evidence, not on a sales deck.
| What matters | Typical legacy MDM | Inafera Data |
|---|---|---|
| Getting started | Long discovery and configuration before the first result | Scoped pilot on your real problem, with agreed success criteria |
| AI | Added later, often tied to the vendor's own stack | AI-native lifecycle, open to any agent or model |
| Explainability | Match scores with limited reasoning | Evidence, provenance and policy on every decision |
| Cost model | Enterprise licences sized for very large estates | Right-sized for mid-market; design-partner terms for early adopters |
| Deployment | Vendor cloud first | Vendor SaaS, your cloud, hybrid or on-premises |
| Who you work with | Account teams and third-party integrators | The five engineers who build the product |
Comparison reflects common patterns across the MDM market, not any one vendor. Capabilities vary by product and edition.
The method
Proof before purchase. Every time.
How a Customer Zero pilot reaches an evidence-based decision.
- BaselineMeasure duplicate rate, cleanup hours and exception backlog today.
- PilotMaster one domain from your real sources in a controlled scope.
- MeasureCompare results against the criteria you agreed up front.
- DecideA transparent go / no-go review. No pressure, no surprises.
Our principles
What we promise. And what we don't.
You talk to builders
The person on your discovery call is one of the five engineers writing the code.
No lock-in by design
Open interfaces, any agent, any cloud. Your data and your rules stay portable.
Outcomes, not shelfware
Pilots are judged on baseline metrics you set, not on licence counts.