Tilores logo

Tilores

Freemium

Unifies real-time customer data for enhanced decision-making.

4.5
Type
Saas
Founded
2021
Company
Tilores
Tilores screenshot

About Tilores

Tilores is an innovative API solution designed to unify scattered customer data in real-time, revolutionizing how data-driven companies manage and utilize their customer information. Tilores offers a comprehensive suite of tools to create a unified customer view across various source systems, enabling businesses to manage risks, detect fraud, and deliver personalized digital experiences without the complexity of extensive engineering. This tool is specifically tailored for companies looking to streamline their data management processes and enhance their decision-making capabilities by providing a centralized, yet distributed, source of truth for customer data.

Key Features

  • Customer 360° View: Transforms disparate and siloed customer data into a cohesive Customer 360 view, synchronizing complete profiles across departments for improved service delivery.
  • Real-Time Data Unification: Utilizes a scalable API to unify both new and historical customer data, enabling real-time data management and application development.
  • Risk and Fraud Management: Offers tools for detecting fraud at account creation by matching new sign-ups against existing customer data streams.
  • Retrieval-Augmented Generation (RAG): Enhances the performance of Large Language Models (LLMs) through real-time fuzzy search capabilities, ensuring accurate and context-rich data retrieval.

Pros

  • Time Efficiency: Significantly reduces the time spent on manual customer data processes, boasting a 99% decrease in manual credit decision-making time.
  • Scalability: Seamlessly scales with business needs, enabling the unification of vast amounts of customer data without additional engineering overhead.
  • Transparency: Provides clear reasoning for each profile merge or relationship mapping, ensuring transparent data management.
  • Automated Syncing: Automatically syncs unified customer data back to original source systems, maintaining data integrity and accessibility across departments.

Cons

  • Initial Setup Complexity: The initial setup may require some technical expertise to connect various source systems effectively.
  • Limited Third-Party Integration: While it supports major platforms like Salesforce and Hubspot, integration options with less common systems may be limited.
  • Learning Curve: Users may experience a learning curve when adapting to the comprehensive features and capabilities of the API.

Use Cases

  • Financial Institutions: Leveraging the tool for efficient credit risk assessment and fraud prevention.
  • Retail Businesses: Employing Tilores to enhance customer experience through personalized digital interactions.
  • Insurance Companies: Utilizing the API for accurate customer profiling and risk management.
  • Telecommunications Providers: Using the tool to unify customer data for better service delivery and internal reporting.
  • Uncommon Use Cases: Adopted by educational institutions for teaching data management courses; utilized by non-profit organizations for donor data consolidation and analysis.

Pricing

Free Tier: Offers a free trial for businesses to explore the capabilities of Tilores without initial investment. Pro Tier: Interested users should visit the official Tilores website for the most accurate and current pricing information. Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official Tilores website.

What Makes It Unique

Tilores stands out with its ability to unify scattered customer data in real-time, a game-changer for data-driven businesses. Its unique feature of syncing unified data back to each department's source system ensures that every part of the organization has access to the most current and comprehensive data, setting it apart from traditional centralized data systems.

Ratings

Accuracy and Reliability: 4.8/5 Ease of Use: 4.2/5 Functionality and Features: 4.7/5 Performance and Speed: 4.6/5 Customization and Flexibility: 4.5/5 Data Privacy and Security: 4.9/5 Support and Resources: 4.3/5 Cost-Efficiency: 4.4/5 Integration Capabilities: 4.0/5 Overall Score: 4.5/5

Key Features

Customer 360° View: Transforms disparate and siloed customer data into a cohesive Customer 360 view, synchronizing complete profiles across departments for improved service delivery.
Real-Time Data Unification: Utilizes a scalable API to unify both new and historical customer data, enabling real-time data management and application development.
Risk and Fraud Management: Offers tools for detecting fraud at account creation by matching new sign-ups against existing customer data streams.
Retrieval-Augmented Generation (RAG): Enhances the performance of Large Language Models (LLMs) through real-time fuzzy search capabilities, ensuring accurate and context-rich data retrieval.

Pros & Cons

Pros
  • Time Efficiency: Significantly reduces the time spent on manual customer data processes, boasting a 99% decrease in manual credit decision-making time.
  • Scalability: Seamlessly scales with business needs, enabling the unification of vast amounts of customer data without additional engineering overhead.
  • Transparency: Provides clear reasoning for each profile merge or relationship mapping, ensuring transparent data management.
  • Automated Syncing: Automatically syncs unified customer data back to original source systems, maintaining data integrity and accessibility across departments.
Cons
  • Initial Setup Complexity: The initial setup may require some technical expertise to connect various source systems effectively.
  • Limited Third-Party Integration: While it supports major platforms like Salesforce and Hubspot, integration options with less common systems may be limited.
  • Learning Curve: Users may experience a learning curve when adapting to the comprehensive features and capabilities of the API.

Best For

Financial Institutions: Leveraging the tool for efficient credit risk assessment and fraud prevention.Retail Businesses: Employing Tilores to enhance customer experience through personalized digital interactions.Insurance Companies: Utilizing the API for accurate customer profiling and risk management.Telecommunications Providers: Using the tool to unify customer data for better service delivery and internal reporting.Uncommon Use Cases: Adopted by educational institutions for teaching data management courses; utilized by non-profit organizations for donor data consolidation and analysis.

Alternatives to Tilores

FAQ

How is pricing determined?
Pricing is based on Unified Customer Records (UCRs) – the number of resolved entities in your system – not the raw record count. Factors include data volume, deployment model (cloud, your AWS account, on-premise), SLA compliance requirements, and support level. Contact sales for a custom quote.
What deployment options are available?
Tilores offers three deployment models: 1) Managed Cloud – runs in Tilores' AWS account, fully managed, available through AWS Marketplace. 2) Your AWS Account – deploys directly into your own AWS environment, data never leaves your account. 3) On-Premise – for air-gapped environments or strict data sovereignty requirements.
Is there a free version?
Yes, Tilores Studio is a free local tool that runs entity resolution on your machine for up to 100,000 records. It includes all 13 fuzzy matching algorithms and a text normalisation tool, with no signup required.
What is IdentityRAG?
IdentityRAG is a use case that uses Tilores' entity resolution to provide resolved customer context to Large Language Models (LLMs). This ensures AI responses are based on accurate, deduplicated entity data rather than raw, fragmented records.
How fast is entity resolution?
The platform resolves entities in real-time with API queries typically under 100ms. The example on the homepage shows a GraphQL query returning a resolved entity with 96% confidence in 96ms.