
Tilores
Get a single, clear view of all your customer data in real time.
1Who It's For
Tilores AI is for businesses with messy, scattered customer data. If you have inconsistent information, duplicate records, or need to combine data from many sources, this tool is for you. It's ideal for companies focused on customer understanding, fraud prevention, or improving AI tools.
2What You Get
You get a single, clear view of every customer or company in real-time. Tilores finds and links similar information, removes duplicates, and ensures your data is always accurate. This helps you manage risks, detect fraud, and provides good data for your AI systems.
3How It Works
You connect your various data systems to Tilores. It then cleans, organizes, and combines all this information using smart rules to match and unify records. This clean, unified data is then sent back to your original systems, making everything up-to-date and easy to use.
1⚙️ Core Identity Resolution
Performs real-time fuzzy matching to eliminate duplicate records and data silos across your customer data.
Unifies new and historical customer data at scale in real-time without extensive engineering complexity.
Allows adjustment of parameters to define how records are unified and relationships are mapped, aligning with business needs.
2🔗 Data Integration & Automation
Connects to various source systems using a globally distributed GraphQL API or out-of-the-box connectors for platforms like Salesforce and Snowflake.
Cleanses, normalizes, and enriches all incoming customer data to match a unified schema before ingestion.
Automatically syncs unified customer data back to all relevant source systems, ensuring distributed sources of truth.
3📊 Analytics & AI Applications
Transforms scattered and siloed customer data into a complete, unified profile view, synced across departments.
Detects potential fraud at account creation by querying real-time streams of unified customer data to identify relationships or existing accounts.
Enhances Large Language Model performance by providing real-time fuzzy search on structured customer data, enabling more accurate and contextual responses.
1Achieving a Real-Time Unified Customer 360 View
Businesses struggle with fragmented, inconsistent customer data spread across various systems, hindering unified insights and effective operations. Tilores AI unifies disparate customer information in real-time, eliminating duplicates and syncing complete, enriched profiles back to all departmental source systems, empowering teams with a single, accurate view for improved customer service, internal alignment, and informed product strategy.
2Real-Time Fraud Detection and Risk Management
Organizations face significant challenges in identifying and preventing fraud at critical junctures like account creation, as scattered data makes it difficult to spot suspicious patterns and relationships. Tilores AI enables real-time querying of unified customer data, matching new sign-ups to existing customers or uncovering their relationships with other account holders, significantly improving fraud detection and credit risk assessment at scale.
3Enhancing Large Language Models (LLMs) with Identity-Aware RAG
Traditional LLMs often lack access to up-to-date, specific business context from internal, structured data, leading to generic or inaccurate responses. Tilores AI serves as a real-time data source for Retrieval-Augmented Generation (RAG) by providing unified, fuzzy-matched customer and company data, enabling LLMs to retrieve accurate, relevant information and respond to prompts with richer, more contextual insights.
4Streamlining Anti-Money Laundering (AML) and KYC Compliance
Financial institutions and regulated industries struggle with the manual effort and complexity of Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance due to siloed and inconsistent identity data. Tilores AI's identity resolution capabilities automatically link and deduplicate entity records across systems, providing a comprehensive and accurate view of customers and their relationships, thereby simplifying compliance audits and reducing regulatory risk.
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