Your MDM is only as good as
its entity resolution
Entity resolution is the engine inside every MDM platform. Most MDM platforms run it slowly — on batch schedules — and with weak matching logic that misses anything that doesn't look exactly right. Tilores resolves in real time with a proprietary matching engine that handles the messy, real-world data your MDM misses.
Every MDM platform promises a single source of truth. Nearly all of them build that truth on batch entity resolution — a scheduled job that matches and deduplicates records every few hours, or overnight.
The result: a golden record that's accurate as of last night. When a customer changes their address, a company changes ownership, or a new account opens — none of your downstream systems know until the next batch runs.
Tilores is a real-time entity resolution layer. It can sit beneath your existing MDM platform to keep golden records current, or replace the MDM stack entirely for teams that need a leaner, API-first approach.
Use Tilores alongside your MDM — or replace it
Keep Informatica, Reltio, TIBCO, or whichever platform you've invested in. Add Tilores as a real-time resolution layer in front of it — so operational systems get live golden records while your MDM handles governance, stewardship workflows, and compliance reporting.
For teams building from scratch, migrating off legacy MDM, or operating in a single entity domain (customers, counterparties, suppliers), Tilores provides entity resolution, golden record assembly, and a query API — without the complexity or cost of a full MDM platform.
Better matching quality —
not just better speed
MDM platforms typically use rigid, rule-based matching: if two fields don't match within a defined threshold, the records stay separate. That works for clean, standardized data. Real-world enterprise data is never that clean.
Tilores uses a proprietary matching engine that transforms and normalises data before it ever reaches the matching step. Inconsistent phone formats, address abbreviations, name variants, transliterations, and encoding differences are resolved in the pre-processing layer — so the matching algorithm is comparing apples with apples.
The result: significantly higher match recall. Records that would be silently missed by your MDM — and end up as phantom duplicates — are correctly resolved into a single golden record.
Before matching begins, Tilores normalises phone formats, standardises address fields, strips legal suffixes from company names, and resolves encoding differences. Your source data arrives as-is — the transformation happens inside Tilores.
Every match decision returns a confidence score across the attributes that drove it. No black-box verdicts — your data stewards see exactly which fields matched, at what weight, and why two records were linked or kept separate.
Different domains have different risk tolerances. Tune match sensitivity per entity type — tighter thresholds for high-stakes compliance domains, broader for customer deduplication. No one-size-fits-all rule engine.
MDM use cases that need real-time resolution
Regulators require institutions to know which clients are connected — same beneficial owner, related counterparties, shared control. Batch MDM misses relationship changes between runs. Tilores surfaces them the moment data arrives.
Post-merger data integration means resolving two entity populations that have never talked to each other. Tilores deduplicates across systems in real time — no months-long batch reconciliation project.
The same supplier appears under five names across procurement, finance, and logistics. Tilores resolves them into one golden record and keeps it current as company details, contacts, and certifications change.
Healthcare and insurance organisations need a single, accurate patient or member view across every system of record. Errors in identity resolution have real consequences — Tilores makes resolution explainable and auditable.
Enterprise customers exist across CRM, ERP, support, finance, and partner portals. Tilores creates and maintains one golden record per customer — queryable from any system without waiting for overnight sync.
GDPR deletion requests, AML reporting, credit concentration limits — all require knowing the current, complete picture of an entity. Stale batch MDM creates compliance gaps. Tilores gives you current state on demand.
Resolution at the moment data arrives
Records arrive from CRM, ERP, data warehouse, or any upstream system. Tilores accepts them via API or streaming connector.
Each record is fuzzy-matched across your entire entity population in under 150ms — names, IDs, addresses, and custom attributes.
If a match is found, the golden record is updated immediately. If not, a new entity is created. No batch window. No lag.
Downstream systems — CRM, ERP, compliance tools, AI agents — query the current golden record via GraphQL API at any time.
Built to integrate with your existing stack
| Latency | <150ms p99 — fast enough for operational systems, not just analytics pipelines |
| Matching | Fuzzy match across name variants, typos, transliterations, and format differences — configurable thresholds per domain |
| Deployment | Available on AWS Marketplace. On-premise also supported for regulated environments. |
| API | GraphQL API. Query by any attribute — name, ID, email, address, or custom identifiers |
| Explainability | Every match returns source records, matched attributes, and confidence scores — full audit trail for stewardship and compliance |
| Existing MDM | Works alongside Informatica, Reltio, TIBCO, and custom platforms. Tilores can act as the real-time resolution layer while your MDM handles governance |
query MDMResolve($input: SearchInput!) {
search(input: $input) {
entities {
id
score
hitScore
records {
id
source
name
address
}
}
}
}
# Variables
{
"input": {
"parameters": {
"name": "Acme Corporation"
}
}
} Related use cases
Stop rebuilding truth from
yesterday's batch run
See how Tilores keeps your golden records current in real time. Available on AWS Marketplace.