One trusted view of
every <customer>
Tilores is real-time entity resolution: it links the duplicate, conflicting records scattered across your systems into one resolved record — so your fraud, compliance, Customer 360, and AI teams all work from the same truth.
Available on AWS Marketplace · Other hyperscalers and on-premise also supported
Numbers from our work with Exiger. See the case study →
Your records are scattered. Your systems disagree. Your decisions suffer.
Customer data sits in your CRM and your support tool and your data warehouse. Supplier data sits in your procurement system and your risk database and your accounting platform. Transaction data sits everywhere.
The same person, company, or transaction shows up in multiple places under multiple spellings. Records get duplicated. Relationships get missed. And every team in your business — fraud, compliance, marketing, analytics, AI — ends up working from a different version of reality.
The downstream cost is real. Duplicates inflate marketing spend and hide fraud rings. Fragmented records break KYC and create compliance gaps. And every AI system you run — fraud models, customer assistants, supply chain intelligence — produces outputs only as good as the entity data it retrieves from.
AI you can't trust
Your fraud model, your customer assistant, your supply chain AI — all retrieving from fragmented records. Inconsistent inputs produce inconsistent outputs, and no amount of prompt engineering fixes a data problem.
Fraud you can't see
The same fraudster signs up three times under name variations. Your system treats them as three new customers.
Compliance you can't prove
KYC, AML, and sanctions screening fall apart when you can't reliably tell whether two records are the same entity.
One resolved view of every entity — updated as data arrives.
Tilores connects to your existing systems, matches records as they arrive, and maintains a single resolved view every team can read from. It sits as a layer in your stack — not a platform you rebuild around.
Real time, not batch
Records are matched as they arrive - sub-300ms ingestion, ~150ms query response. Your resolved data is never out of date. There is no overnight job, no waiting until Tuesday morning, no static snapshot.
Matching rules you can explain to a regulator
Rules are explicit, tunable, and auditable. You can show exactly why two records were linked. You can adjust precision and recall to fit your use case. No black box.
Sits as a layer in your stack
Tilores doesn't demand a sandbox. Source data flows in via GraphQL or pre-built connectors. Resolved entity events flow out to your data warehouse, your fraud platform, your AI applications - whatever you've already built.
# Resolve a company across all your sources
query {
search(input: { name: "Acme Inc." }) {
entities {
id
recordInsights {
name: newest(field: "name")
email: first(field: "email")
phone: first(field: "phone")
sources: valuesDistinct(field: "source")
}
}
}
}{
"entities": [{
"id": "ent_7f2a9b04",
"recordInsights": {
"name": "Acme Inc.",
"email": "contact@acme.com",
"phone": "+1 650 555 0100",
"sources": ["CRM", "ERP", "Shopify"]
}
}]
}Every use case, one platform
From fraud detection and KYC compliance to Customer 360 and AI pipelines — the same resolved entity graph powers every team.
Fraud Detection & Prevention
Detect fraud rings and linked accounts in real-time
Learn more →Customer 360
Build a truly complete view of every customer
Learn more →KYC & AML Compliance
Accelerate identity verification and reduce false positives
Learn more →Data Quality & Governance
Continuously clean and deduplicate your data
Learn more →Marketing & Personalization
Stop duplicate campaigns and personalize with complete data
Learn more →Customer Data Platform
Identity resolution backbone for your CDP
Learn more →Master Data Management
Real-time entity resolution for always-current golden records
Learn more →Supply Chain Intelligence
Resolve company entities before your supply chain intelligence runs
Learn more →Data Privacy Compliance
Answer every DSAR in minutes — not weeks of database archaeology
Learn more →The data layer your AI needs — and that every team already depends on.
Every AI system you deploy — fraud detection, KYC automation, customer assistants, supply chain intelligence — depends on knowing who it's talking about. Not approximately. Exactly. The same entity across every system you have.
When your records are fragmented, your AI guesses. It returns inconsistent answers about the same customer, misses fraud connections that span systems, and hallucinates relationships that don't exist. The problem isn't the model. It's that the model has no reliable entity truth to retrieve from.
Tilores is the resolved entity layer underneath. Think of it as persistent entity memory for your AI — a real-time graph of every resolved person, company, and transaction that every model, agent, and RAG pipeline in your business can retrieve from consistently.
"This is a very fundamental piece of data that will have downstream effects. We have AI models all over the place, and if you start off with bad initial input, you could end up with garbage in, garbage out. A lot of models will benefit from a good entity system early in the pipeline."
Entity memory for agents and RAG
Vector databases return semantically similar documents. Tilores returns the resolved entity — the unified, canonical view of a customer or company across all your sources. For questions like "who is this person?" you need entity resolution, not similarity scores. The two are complementary.
Always current, never stale
AI that retrieves from last week's batch job will confidently give wrong answers. Tilores resolves new records in under 300ms and updates the entity graph live — so every query returns current truth, whether your agent is checking a supplier risk score or a customer's fraud history.
Auditable, so your AI can explain itself
Every entity link is explicit and traceable. When a regulator asks why your AI flagged this entity or resolved that match, you can show exactly which records were linked and why. No black box. No "the model decided."
How Exiger resolved 110 million company records — and built their AI on top
Exiger is a leader in supply chain risk and compliance, trusted by more than 150 Fortune 500 companies and over 60 federal agencies. To map the world's supply chains reliably, they first needed to resolve more than 110 million company records - drawn from 16 distinct data sources, from clean legal-entity registries to richly detailed global shipping and customs data - into a single, consistent entity graph.
They evaluated Tilores against multiple alternatives across a two-month structured benchmark. Tilores won on the hardest data to match: the global shipping and customs records that competing solutions couldn't reliably resolve. Today, Tilores is the entity layer underneath Exiger's AI-powered supply chain intelligence.
"It needs to scale, it needs to have low latency, it needs to handle hundreds of millions of company records reliably. And it needs to be as close as possible to a living system - it can't be a static system."
Why Tilores, not the alternatives
In head-to-head evaluations, Tilores has won on the hardest data — the noisy, partial, multilingual records no other solution could match reliably.
A team that works alongside yours
Implementing entity resolution well is technical work. The teams who succeed with Tilores aren't the ones who buy the software and disappear - they're the ones who collaborate closely with our engineers to get the matching rules right for their data. Our team works that way by default.
"The Tilores team is one of the most professional teams I've ever worked with in my professional career. They were 100% supportive. They really were part of our team - it felt like a family. They are highly accessible, very professional. They can have discussions at a very pedantic technical level and they're more than capable of explaining things at a business level when needed."
"Tilores gives you a lot of control over the matching rules and a lot of explainability over the results, and lets you work at a scale that would be hard to manage internally. Tilores allows for rapid time to value and a lower cost of ownership in the long term."
"Accurate supplier data matching and normalization are essential foundations for meaningful data exchange in our ecosystem. Tilores' expertise in entity resolution aligns perfectly with our commitment to providing companies with the technical infrastructure they need to collaborate effectively while maintaining data sovereignty."
Most deployments are running in weeks, not months.
See what resolved entity data does for your business — and your AI.
Whether you're building AI applications that need reliable entity data, or evaluating entity resolution to replace something that's stopped scaling — the fastest way to know if Tilores fits is to see it with your data.
30 minutes with our team to walk through your use case.
Evaluate locally before deploying to AWS or on-premise.
Used by teams at Exiger, Inato, Grover, Cofinity-X, and others.