Tilores is an advanced AI agent specifically designed to unify scattered customer data in real-time. It provides businesses with a comprehensive and accurate view of their customers, which is particularly useful for data-driven companies aiming to enhance their fraud detection capabilities, strengthen anti-money laundering efforts, and improve personalized marketing strategies.
Features
Tilores offers a range of features that facilitate effective management and unification of customer data. The following table outlines the key functionalities:
| Feature | Description |
|---|---|
| Real-Time Data Unification | Seamless API integration that connects all customer data sources, creating a unified "source of truth" for your Large Language Model (LLM). |
| Lightning-Fast Searches and Updates | Perform rapid searches and updates to ensure that customer data remains current and accurate. |
| Fraud Detection and Anti-Money Laundering | Utilizes entity resolution to identify duplicates and create a "golden dataset" essential for fraud detection and anti-money laundering. |
| Generative AI Integration | Acts as a data source for Retrieval Augmented Generation (RAGs), enhancing generative AI solutions with accurate customer data. |
| LangChain Integration | Syncs entity data with vector databases, providing a robust framework for structured data management. |
Use Cases
Tilores can be utilized in various scenarios to maximize its potential and enhance business operations:
- Fraud Detection: Businesses can detect fraud at account creation by querying real-time streams of unified customer data to match new sign-ups with existing customers or uncover their relationships with other account holders.
- Personalized Marketing: Companies can build unified customer profiles for marketing purposes, ensuring access to complete and relevant customer insights across departments to enhance personalized digital experiences.
- Risk Management: Improve internal reporting and credit risk assessment by unifying scattered customer data, allowing businesses to make more informed decisions and manage risk more effectively.
How to Get Started
To get started with Tilores, users can connect their source systems using the globally distributed GraphQL API or prebuilt connectors like Salesforce, HubSpot, or Snowflake. The data ingestion process involves cleansing, normalizing, and enriching all customer data to conform to a unified schema before integration.
Once the data is ingested, users can sync the unified customer data back to every source system without the complexity of engineering overhead. To explore the functionalities further or to initiate a trial, businesses can reach out through the designated contact points provided by Tilores.
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Tilores AI Agent Pricing
The pricing for the AI agent from Tilores is not available.