Tilores AI
Tilores AI
Open Source

Introduction: Tilores AI - Unifying Customer Data with Real-time AI Analytics

Last Updated: 2025/11/11

Tilores AI

Tilores AI - Summary

Tilores AI offers a powerful API designed to unify scattered customer data in real-time. It enables data-driven companies to create a comprehensive, unified customer view across all their diverse source systems. With Tilores AI, businesses can build real-time solutions for enhanced risk management, fraud detection, personalized digital experiences, and to power advanced Generative AI applications, all without significant engineering complexities.

Tilores AI - Features

Tilores AI Product Features

Overview

Tilores AI is an API-driven solution designed to unify scattered customer data in real-time. It enables businesses to create a comprehensive, unified customer view across various source systems, facilitating real-time solutions for risk management, fraud detection, personalized digital experiences, and powering Generative AI applications without extensive engineering effort.

Main Purpose and Target User Group

  • Main Purpose: To provide a real-time, unified customer data platform that cleanses, normalizes, and integrates customer information from disparate sources, making it accessible and actionable for various business functions.
  • Target User Group: Data-driven companies, businesses focused on risk and fraud management, customer experience teams, marketing departments, and developers building GenAI applications that require accurate and unified customer data.

Function Details and Operations

  • Customer 360 View: Transforms siloed customer data into a unified profile, syncing complete profiles back to departmental source systems for improved customer service, internal alignment, and product development.
  • Customer Risk Management: Enables real-time querying of unified customer data to detect fraud at account creation, matching new sign-ups to existing customers or uncovering relationships with other account holders.
  • Retrieval-Augmented Generation (RAG) for LLMs: Enhances Large Language Model (LLM) performance by providing real-time fuzzy search on structured data, allowing LLMs to retrieve accurate, relevant, and unified customer or company data for more contextual responses.
  • Scalable Data Unification: Unifies both new and historical customer data, supporting the development of new use cases.
  • Automated Data Sync: Automatically syncs unified customer data back to every source system, reducing engineering complexity and overheads.
  • Transparent Data Operations: Provides clear reasoning for each profile merge or relationship mapping, with adjustable parameters to align with business needs.
  • Data Cleansing and Normalization: Before ingestion, all customer data is cleansed, normalized, and enriched to match a unified schema.
  • API-First Approach: Utilizes a globally distributed GraphQL API for connecting source systems.
  • Prebuilt Connectors: Offers prebuilt connectors for popular platforms like Salesforce, HubSpot, and Snowflake.

User Benefits

  • Improved Data Consistency: Overcomes challenges of inconsistent, incomplete, and out-of-date customer data.
  • Enhanced Decision Making: Provides a unified view for better alignment, planning, and reporting across the business.
  • Reduced Engineering Complexity: Simplifies the process of unifying and managing customer data, eliminating the need for extensive custom development.
  • Real-time Insights: Enables real-time access to unified customer data for immediate action and analysis.
  • Fraud Prevention: Facilitates proactive fraud detection at the point of account creation.
  • Personalized Customer Experiences: Supports the delivery of highly personalized digital experiences.
  • Optimized GenAI Applications: Powers LLMs with accurate and contextual customer data, improving their performance and relevance.
  • Operational Efficiency: Allows internal departments to report and build on their customer data independently, reducing reliance on data analytics teams or developer resources.

Compatibility and Integration

  • API Integration: Primary integration method via a globally distributed GraphQL API.
  • Prebuilt Connectors: Direct integration with popular platforms such as Salesforce, HubSpot, and Snowflake.
  • Data Ingestion: Supports ingestion of new and historical customer data.
  • Data Sync: Capable of syncing unified data back to various departmental source systems.

Customer Feedback and Case Studies

  • Banxware Case Study: Demonstrated a 99% decrease in time spent on manual customer credit decisions by unifying scattered customer data, improving internal reporting, credit risk assessment, and fraud prevention at sign-up.

Access and Activation Method

  • Free Trial: Users can start for free to explore the platform.
  • Request Data Consultation: Option for businesses to request a data consultation for tailored solutions.
  • Sign-in: Existing users can sign in to their accounts.
  • API Access: Access to the platform's functionalities is primarily through its API.

Tilores AI - Frequently Asked Questions

What is Tilores AI?

Tilores AI is an API-driven platform designed to unify scattered customer data in real-time. It helps businesses create a single, comprehensive view of their customers across all their source systems, enabling better risk management, fraud detection, personalized experiences, and powering Generative AI applications.

How does Tilores AI help with data analytics?

Tilores AI provides a unified customer view by cleansing, normalizing, and enriching data from various sources. This consolidated and consistent data is crucial for effective data analytics, allowing businesses to gain deeper insights, improve reporting, and make data-driven decisions without the complexity of managing disparate datasets.

What are the key benefits of using Tilores AI?

Tilores AI offers several benefits, including:

Real-time Data Unification

Unifies new and historical customer data in real-time.

Automated Syncing

Automatically syncs unified customer data back to each source system, reducing engineering complexity.

Transparency

Provides clear reasoning for profile merges and relationship mapping.

Improved Decision Making

Supports use cases like Customer 360, Risk Management, and Retrieval-Augmented Generation (RAG) for LLMs.

Can Tilores AI integrate with my existing systems?

Yes, Tilores AI can connect to your source systems using its globally distributed GraphQL API or prebuilt connectors for popular platforms like Salesforce, Hubspot, and Snowflake.

How does Tilores AI support Generative AI (GenAI) applications?

Tilores AI enhances GenAI applications, particularly Large Language Models (LLMs), through its Retrieval-Augmented Generation (RAG) solution. By providing real-time fuzzy search on unified structured customer data, Tilores AI enables LLMs to retrieve accurate, relevant, and contextual information, leading to more precise and informed responses.

Tilores AI Login

https://tilores.io/sign-in

Tilores AI Sign up

https://tilores.io/get-started

Tilores AI - Company Information

Company Name: Tilores

Tilores AI Linkedin Link: https://www.linkedin.com/company/tilores/

Tilores AI Twitter Link: https://twitter.com/TiloresHQ

Tilores AI Github Link: https://github.com/tilotech

Website: https://tilores.io/

Tilores AI - Open Source

github: https://github.com/tilotech

Deep Wiki: https://deepwiki.com/tilotech

Tilores AI - Data Analysis

Latest Traffic Information

  • Monthly Visits

    16.373K

  • Bounce Rate

    42.10%

  • Pages Per Visit

    1.67

  • Visit Duration

    00:00:50

  • Global Rank

    1574154

  • Country Rank

    1437300

Visits Over Time

Traffic Sources

  • direct:
    39.66%
  • referrals:
    8.63%
  • social:
    5.05%
  • mail:
    0.11%
  • search:
    45.21%
  • paidReferrals:
    1.09%

Top Keywords

KeywordTrafficVolumeCPC
tilores450620-
online emebeddings similarity130130-
jaro winkler online tester120130-
jaro-winkler100350-
online cosine similarity words100100-

Top Regions

RegionPercentage
United States0.24%
Germany0.16%
India0.13%
Indonesia0.09%
United Kingdom0.09%

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