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Tilores
tilores.io
What it is
Tilores resolves duplicate and conflicting records into unified entity profiles in real time. It maps, normalizes, and enriches fields such as names, phone numbers, and addresses before applying deterministic rules and fuzzy matching. Results can include explainable links, a quality score, and an audit trail. A real-time GraphQL API supports entity retrieval, ranked fuzzy searches, and aggregation of source records. Listed connectors include Salesforce, HubSpot, and Snowflake, alongside webhooks and event streaming. Deployment options include managed AWS, a customer's AWS account or another cloud, and on-premise installations. Developers can connect entity resolution to LangChain and Amazon Bedrock through IdentityRAG; the company says it works with any LLM through LangChain. Tilores Studio runs locally on macOS Apple Silicon, Windows x64, or Linux x86_64, storing data on the user's computer. Its free local mode allows up to 100,000 records per deployment. Production pricing is by custom quote, based on data volume, deployment, service requirements, and support.
Spec sheet
- What it does
- Tilores links duplicate and conflicting records from separate systems into a single resolved entity for fraud, compliance, Customer 360 and AI workloads.Read 15 Oct 2026 · tilores.io
- Purpose
- Tilores resolves duplicate and conflicting records across systems into unified entity profiles in real time.Read 29 Sep 2026 · tilores.io
- Intended users
- The company describes Tilores as infrastructure for developers and presents use cases including fraud, compliance, Customer 360, and AI.Read 29 Sep 2026 · tilores.io
- Deployment
- Tilores offers managed AWS, deployment in a customer's AWS account or another cloud, and on-premise deployment.Read 29 Sep 2026 · tilores.io
- Integrations
- The production platform lists prebuilt Salesforce, HubSpot and Snowflake connectors plus webhooks and event streaming.Read 15 Oct 2026 · tilores.io
- Support
- Production quotes can scope support from standard technical support to a dedicated customer success engineer.Read 29 Sep 2026 · tilores.io
- Headquarters
- Berlin, GermanyRead 28 Sep 2026 · tilores.io
- Founded
- 2021Read 28 Sep 2026 · tilores.io
- Company
- Tilores says it was founded in 2021 as a spin-out from Regis24 and lists its headquarters as Berlin, Germany.Read 29 Sep 2026 · tilores.io
- AI integration
- IdentityRAG connects Tilores entity resolution to LangChain and Amazon Bedrock and is described as working with any LLM through LangChain.Read 29 Sep 2026 · tilores.io
- AI integrations
- Tilores documents LangChain, Amazon Bedrock and a Python SDK for identity-resolved retrieval workflows.Read 15 Oct 2026 · tilores.io
- Company milestone
- The company’s timeline records a public SaaS launch in 2023, IdentityRAG in 2024, a US patent in 2025 and a Carahsoft partnership in 2026.Read 15 Oct 2026 · tilores.io
- Company profile
- LinkedIn lists Tilores as a privately held Berlin data-infrastructure company founded in 2021 with 2–10 employees.Read 15 Oct 2026 · linkedin.com
- Data preparation
- Inputs can come from Salesforce, HubSpot, Postgres, Snowflake, CSV, Parquet, JSON, Kafka and webhooks, with normalization and enrichment during ingestion.Read 15 Oct 2026 · tilores.io
- Deployment choices
- Customers can run managed AWS, inside their own AWS account, on another cloud or on-premises, including air-gapped environments.Read 15 Oct 2026 · tilores.io
- Desktop support
- Tilores Studio is available for macOS Apple Silicon, Windows x64, and Linux x86_64; the macOS build is Apple Silicon only.Read 29 Sep 2026 · tilores.io
- Developer prerequisites
- The self-hosted quickstart requires Go 1.24 or newer, Terraform 1.2 or newer and Git; the CLI does not support Windows directly.Read 15 Oct 2026 · docs.tilotech.io
- Documentation depth
- The documentation covers CLI installation, AWS deployment, GraphQL authentication, schema editing, record submission, searching and rule configuration.Read 15 Oct 2026 · docs.tilotech.io
- Evaluation limit
- Studio's free local mode is capped at 100,000 records per deployment, and connecting Studio to a Tilores Cloud deployment requires a cloud plan.Read 29 Sep 2026 · tilores.io
- Explainable matches
- Each relationship keeps auditable evidence and configurable rules so teams can inspect why records were linked.Read 15 Oct 2026 · tilores.io
- Funding
- Peak’s January 31, 2022 announcement says Tilo raised a €1.2 million pre-seed round led by Peak with Tiny VC, First Momentum, Enduring Ventures and angels.Read 15 Oct 2026 · peak.capital
- Fuzzy matching
- Matching supports names, addresses and identifiers with deterministic and machine-learning methods plus confidence scores.Read 15 Oct 2026 · tilores.io
- Infrastructure
- The engine uses a key-value store, queue and object storage, with AWS examples of DynamoDB, SQS and S3.Read 15 Oct 2026 · tilores.io
- Legal maker
- The legal entity is Tilo Tech GmbH, registered in Berlin and trading under the Tilores name.Read 15 Oct 2026 · tilores.io
- Licence
- The commercial software licence grants limited internal object-code rights and prohibits modification, reverse engineering, sublicensing or offering it as a hosted service without permission.Read 15 Oct 2026 · cdn.tilores.io
- Limit: price and functionality
- G2 summaries include complaints that pricing can be expensive and that functionality or customization is limited for some users.Read 15 Oct 2026 · g2.com
- Limit: setup and integrations
- G2 review summaries repeatedly mention difficult setup, technical skill requirements and integration issues.Read 15 Oct 2026 · g2.com
- Limit: tuning and pricing transparency
- Challenging Voice says result quality depends on tuning against each customer’s data and that commercial pricing is available only on request.Read 15 Oct 2026 · challengingvoice.com
- Local data handling
- Tilores Studio runs and stores data locally on the user's computer, and the page says data does not leave the machine.Read 29 Sep 2026 · tilores.io
- Matching
- The platform combines deterministic rules and fuzzy matching, with explainable links, a quality score, and an audit trail.Read 29 Sep 2026 · tilores.io
- Notable news: MCP server
- A July 21, 2026 Tilores article announced an MCP server with tools for documentation search, rule linting, field mapping, ingestion planning and GraphQL query recipes.Read 15 Oct 2026 · tilores.io
- Praise: auditable rules
- Challenging Voice praises readable, auditable matching rules and fast ingestion suitable for compliance-oriented work.Read 15 Oct 2026 · challengingvoice.com
- Praise: data unification
- G2 reviewers repeatedly praise real-time unification, consolidated customer views, productivity gains and fraud-link discovery.Read 15 Oct 2026 · g2.com
- Pricing basis
- Paid pricing is quote-based and calculated from resolved Unified Customer Records, deployment model, SLA/compliance requirements and support level.Read 15 Oct 2026 · tilores.io
- Privacy controls
- Official controls include provenance labels, API permissions, configurable retention, deletion/export logs and graph-safe deletion for GDPR and CCPA readiness.Read 15 Oct 2026 · tilores.io
- Public plugin API
- Tilores publishes an Apache-2.0 plugin API defining interfaces for independently compiled providers and consumers, while the default core dispatcher remains proprietary.Read 15 Oct 2026 · github.com
- Python ecosystem
- The langchain-tilores package integrates Tilores with LangChain and LangGraph, supports Python 3.8 or newer and is released under MIT.Read 15 Oct 2026 · pypi.org
- Querying
- Users can retrieve entities, run ranked fuzzy searches, and aggregate source records through a real-time GraphQL API.Read 29 Sep 2026 · tilores.io
- Rating on Challenging Voice
- Challenging Voice gives Tilores 4.1 out of 5 as an editorial directory rating.Read 15 Oct 2026 · challengingvoice.com
- Rating on G2
- Tilores scores 4.7 out of 5 from 30 reviews.Read 15 Oct 2026 · g2.com
- Rating on MakerStack
- MakerStack’s independent Tilores Studio review rates it 8.0 out of 10.Read 15 Oct 2026 · makerstack.co
- Real-time resolution
- The service matches records as they arrive, advertising sub-300ms ingestion and roughly 150ms cloud query responses.Read 15 Oct 2026 · tilores.io
- Search and insights API
- GraphQL exposes entity, entityByRecord and fuzzy search operations together with recordInsights, edgeInsights and what-if record analysis.Read 15 Oct 2026 · tilores.io
- Security and compliance
- The pricing page describes managed AWS infrastructure as SOC 2 certified and lists GDPR-compliant data processing among included features.Read 29 Sep 2026 · tilores.io
- Security certification
- Managed deployments are described as SOC 2 certified, with the compliance page specifying a SOC 2 Type I audit covering security, availability and confidentiality.Read 15 Oct 2026 · tilores.io
- Studio privacy
- Tilores Studio runs locally without signup or a licence key and states that local data does not leave the machine.Read 15 Oct 2026 · tilores.io
Plans and prices
Tilores Studio Free Free download local desktop · up to 100,000 records · no signup or licence key · macOS Apple Silicon, Windows x64, Linux x86_64 Read 15 Oct 2026 · tilores.io
Tilores Studio Local Mode Free Up to 100,000 records per local deployment · no account or licence key · person and company matching Read 29 Sep 2026 · tilores.io
Production Tilores Priced on request Custom quote priced by Unified Customer Records · deployment model · SLA/compliance · support level · fully featured platform Read 15 Oct 2026 · tilores.io
Tilores Production Priced on request Custom quote based on data volume, deployment model, SLA/compliance, and support requirements Priced per Unified Customer Record (UCR), not raw record or seat · full platform included across deployment models Read 29 Sep 2026 · tilores.io
Strong points and limits
Strong points
- Combines deterministic rules and fuzzy matching.
- Matches can include scores and an audit trail.
- GraphQL API supports search and entity retrieval.
- Studio stores local data on the user's computer.
Limits
- Free local mode is capped at 100,000 records.
- Cloud-connected Studio requires a cloud plan.
- Production pricing requires a custom quote.
- macOS Studio supports Apple Silicon only.
Who it suits
Tilores is suited to developers reconciling records for use cases such as fraud, compliance, Customer 360, and AI. Its deployment options may suit teams with managed cloud, customer-cloud, or on-premise requirements.
Tilores in depth
Read the full write-up
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 nothing. 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 a 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 a 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.
Verdict
Tilores pairs record preparation and explainable matching with several deployment choices. The local Studio plan offers a defined evaluation limit, while production costs depend on a custom quote.
Where Specifiction places it
- Data Deduplication Software#5 of 278.3
