Tilores

Overview

Tilores is a developer-focused entity-resolution platform for bringing records about the same person or company together across systems. It suits teams building live data workflows for fraud, compliance, Customer 360 or AI, rather than organizations looking only for a manual deduplication tool. Its strongest case is explainable matching through a real-time API; production buyers must be ready to scope a custom deployment and quote.

Key features

Tilores prepares fields such as names, phone numbers and addresses by mapping, normalizing and enriching them before matching. It combines deterministic rules with fuzzy matching and adds explainable links, a quality score and an audit trail. This is useful when downstream teams need to inspect why records were linked, not just receive a merged profile.

Through its real-time GraphQL API, users can retrieve entities, run ranked fuzzy searches and aggregate source records. Automatic merging and duplicate prevention favor continuous resolution in active systems. The merge review workflow is automatic, however, so teams that require a human approval step before merges should consider another approach.

Prebuilt connectors cover Salesforce, HubSpot and Snowflake, with webhooks and event streaming also supported. IdentityRAG connects entity resolution to LangChain and Amazon Bedrock, and is described as compatible with any LLM through LangChain. Those integrations make Tilores relevant to teams adding identity context to existing data or AI workflows, but the core product remains infrastructure aimed at developers.

Deployment options include managed AWS, a customer's AWS account or another cloud, and on-premise. The pricing page describes managed AWS infrastructure as SOC 2 certified and includes GDPR-compliant data processing. Tilores Studio provides a local evaluation route: it runs and stores data on the user's computer, with data staying on the machine. Its free local mode supports person and company matching but is capped at 100,000 records per deployment; connecting Studio to Tilores Cloud requires a cloud plan.

Pricing

Tilores Studio Local Mode: free. It includes up to 100,000 records per local deployment, requires no account or licence key, and supports person and company matching. This is a practical way to assess local workflows without sending data off the computer, but the record ceiling and local-only scope make it an evaluation option rather than a substitute for production capacity.

Tilores Production: custom quote. Pricing is based on data volume, deployment model, SLA or compliance needs, and support requirements. It is priced per Unified Customer Record (UCR), not per raw record or seat, and the full platform is included across deployment models. This avoids seat-based pricing, but teams need to define their expected volumes and operating requirements before they can assess cost. Support can range from standard technical support to a dedicated customer success engineer.

There is no free trial. The free Studio mode is the available no-cost path, while production requires a custom quote. No seat quota or fixed renewal term is stated for production.

Platforms

The platform lists API, web, Linux, macOS, Windows and self-hosted availability. Studio desktop builds are for macOS Apple Silicon, Windows x64 and Linux x86_64; the macOS build does not support Intel Macs. The broader deployment choices suit teams with cloud or on-premise requirements, while Studio's local privacy advantage comes with its fixed evaluation cap.

Who it's for

Tilores is best for developers integrating entity resolution into operational systems, especially where records need to stay aligned in real time and matching decisions need an audit trail. Its deployment flexibility can serve organizations with differing cloud and on-premise requirements. It is a weaker fit for teams seeking a simple manual cleanup interface, a human merge-approval queue, or predictable off-the-shelf production pricing.

Pros and cons

• Pro: Deterministic and fuzzy matching, explainable links, quality scoring and an audit trail give teams more context for evaluating resolved entities.
• Pro: Real-time GraphQL access, automatic merging and duplicate prevention support ongoing workflows rather than only periodic cleanup.
• Pro: Managed, customer-cloud and on-premise deployment options accommodate different infrastructure choices; Studio keeps local evaluation data on the user's machine.
• Con: Production pricing requires a custom quote, so buyers cannot compare a fixed price before scoping volume and deployment needs.
• Con: Studio Local Mode is limited to 100,000 records per deployment, and Studio Cloud connection requires a cloud plan.
• Con: Automatic merge review leaves no stated human approval step for teams that want to inspect proposed merges before they take effect.
• Con: Studio's macOS build is Apple Silicon only, excluding Intel-based Macs.

Alternatives

Data Deduplication Software is the broader category to browse when comparing tools beyond Tilores.

• R is a free software environment for readers who want a general-purpose environment rather than a dedicated entity-resolution platform.
• Workbooks is a CRM alternative with a 30-day free trial and a CRM plan at $47 a month, billed on a 1-, 2- or 3-year subscription; choose it when a CRM is the priority.
• Plauti Deduplicate has a free Salesforce AppExchange version and a trial for full-edition features, making it the more directly Salesforce-oriented alternative.
• Zingg offers a free open-source community edition for batch probabilistic matching across millions of records; it is a fit for batch workloads, while its enterprise plan adds batch and real-time capabilities.
• DupeCatcher is another free option for readers comparing deduplication tools.
• Koalify is a freemium alternative for readers comparing web-based tools.
• DemandTools is a freemium alternative for readers who prefer a Windows platform.
• OneMerge is another freemium option to consider.

Verdict

Choose Tilores if you need developer-oriented, real-time entity resolution with explainable matching and flexible deployment, and can scope production around a custom quote. Look elsewhere if you need a manual merge-review process, a fixed production price, or an evaluation deployment larger than Studio's 100,000-record limit.