Overview

Tilores is a developer-focused entity-resolution platform for combining records that refer to the same person or company across systems. It suits teams building live applications around unified customer or entity profiles better than teams looking for a manual, one-off deduplication tool. Its strongest case is the combination of record preparation, explainable matching and real-time access; the trade-offs are automatic merging and custom-priced production.

Key features

Tilores maps, normalizes and enriches fields such as names, phone numbers and addresses before matching. It combines deterministic rules with fuzzy matching, and provides explainable links, a quality score and an audit trail. That pairing is useful when teams need to understand why records were connected, not just receive a match result.

The real-time GraphQL API supports entity retrieval, ranked fuzzy searches and aggregation of source records. Automatic merging and duplicate prevention make the platform suited to ongoing resolution in operational systems. The merge review workflow is automatic, however, so teams that require a manual approval step before records are joined should look elsewhere.

Prebuilt connectors cover Salesforce, HubSpot and Snowflake, alongside webhooks and event streaming. IdentityRAG connects entity resolution with LangChain and Amazon Bedrock, and is described as compatible with any LLM through LangChain. These integrations make Tilores relevant to fraud, compliance, Customer 360 and AI use cases, but the company positions it as infrastructure for developers rather than a turnkey tool for nontechnical cleanup teams.

Deployment choices include managed AWS, a customer's AWS account or another cloud, and on-premise hosting. Managed AWS infrastructure is described as SOC 2 certified, and GDPR-compliant data processing is included. This range can accommodate different hosting requirements, though choosing a deployment model is part of the production scoping process.

Pricing

Tilores Studio Local Mode costs 0.00 USD per free. It runs and stores data on the user's computer, with data remaining on the machine, and requires no account or licence key. The free mode supports person and company matching and allows up to 100,000 records per local deployment. That makes it a useful bounded evaluation environment, not a free route to production-scale processing: connecting Studio to Tilores Cloud requires a cloud plan.

Tilores Production has custom pricing, billed by Unified Customer Record (UCR), rather than raw record or seat. Quotes depend on data volume, deployment model, SLA and compliance needs, and support requirements. The full platform is included across deployment models, and support can range from standard technical support to a dedicated customer success engineer. The pricing model ties cost to unified entities rather than seats, but buyers need a quote to assess the production commitment. There is no free trial.

Platforms

Tilores supports API access, Linux, macOS, Windows, web and self-hosted deployment. Tilores Studio is available for macOS Apple Silicon, Windows x64 and Linux x86_64; the macOS build is limited to Apple Silicon. Its local mode is particularly useful for evaluating matching without sending data off the computer, while cloud and on-premise options address production deployment needs.

Who it's for

Tilores is best for development teams that need to resolve duplicate or conflicting records continuously and expose unified profiles to applications through an API. Its explainability and audit trail also suit workflows where teams need traceable matches, including fraud and compliance use cases. It is a weaker fit for organizations that want manual merge approval, a simple desktop cleanup workflow, or production pricing they can evaluate without a custom quote.

Pros and cons

Pros: Data preparation precedes matching, reducing the gap between inconsistent source fields and usable entity profiles.
Pros: Explainable links, a quality score and an audit trail make match outcomes more interpretable than an opaque merge.
Pros: Local Studio mode supports up to 100,000 records per deployment without an account or licence key, and keeps data on the user's computer.
Pros: Managed, customer-cloud and on-premise deployment choices support varied hosting requirements.
Cons: Production pricing requires a custom quote, making costs harder to compare before scoping data volume, deployment and support.
Cons: Studio's local cap and cloud-plan requirement limit its usefulness as a no-cost production option.
Cons: Automatic merge review leaves no manual approval step for teams that want human sign-off before records combine.

Alternatives

For a broader shortlist, browse Data Deduplication Software.

Plauti Deduplicate is worth considering for Salesforce users seeking a freemium option with a free trial. Koalify offers a free tier for sandbox/demo accounts or portals below 10K records, plus a Pro Plan at 25.00 USD per month billed annually; it may suit buyers who want a stated subscription price. MatchCore is an alternative for teams seeking a per-user license with a stated annual billing basis and capacity up to 1M records per matching run.

Senzing Entity Resolution is another paid entity-resolution option. Workbooks is a broader CRM alternative with a 30-day free trial and a CRM plan priced at 47.00 USD per month. DataMatch Enterprise is an alternative for enterprise-grade cleansing and fuzzy matching on millions of records. DQE One Unify offers a SaaS option with monthly billing. Splink is free, open-source Python software for teams seeking a self-hosted option rather than a managed platform.

Verdict

Choose Tilores if your developers need real-time entity profiles, explainable matching and deployment flexibility, and the 100,000-record local Studio mode is enough to evaluate the approach. Its main advantage is the full path from record preparation to API-accessible matches, with deployment options for different hosting needs. Look elsewhere if manual merge approval is essential or if you need a production price before discussing requirements.

	Plauti Deduplicate	Tilores
Free plan	Yes	Yes
Free trial	Yes	No
Paid from	Free	Free
Platforms	api, self-hosted, Web	api, Linux, macOS, self-hosted, Web, Windows
Free plan	Yes	Yes
Fuzzy matching	Yes	Yes
Automatic merging	Yes	Yes
Duplicate prevention	Yes	Yes
API access	Yes	Yes
Merge review workflow	both	automatic
CRM integrations		2

Plauti Deduplicate vs Tilores

Plauti Deduplicate

Tilores