Tilores

Tilores is a sophisticated AI-driven platform that provides a real-time API and a no-code interface to unify scattered customer data. In today's digital landscape, customer information is often fragmented across multiple systems like CRMs, marketing automation tools, payment gateways, and support desks. This data fragmentation creates significant challenges, including an incomplete understanding of customers, operational inefficiencies, and, most critically, vulnerabilities to fraud and non-compliance with regulations like Know Your Customer (KYC) and Anti-Money Laundering (AML). Tilores directly addresses these issues by intelligently matching and merging disparate data points to create a single, coherent, and trustworthy profile for each entity, often referred to as a 'single customer view' or 'golden record'.

The platform is engineered for businesses that require high accuracy and real-time insights, particularly in the financial services, e-commerce, and online gaming sectors. By leveraging advanced machine learning algorithms, Tilores can identify non-obvious connections between accounts and users, which is crucial for uncovering sophisticated fraud rings, synthetic identities, and policy abuse. Its no-code nature empowers non-technical teams, such as fraud analysts and compliance officers, to build, manage, and refine identity resolution logic without relying on engineering resources, drastically reducing implementation time and operational costs.

How to use Tilores

Using Tilores is a streamlined process designed for both technical and non-technical users:

1. Connect Data Sources: Begin by connecting your various data silos to the Tilores platform. This can be done through pre-built connectors for popular databases, CRMs, and cloud services, or by using the flexible API to stream data from any custom source.
2. Configure Matching Rules: Utilize the intuitive no-code interface to define how data should be matched. You can set up rules based on exact matches (e.g., email address) or use Tilores' AI for fuzzy matching on fields like names, addresses, or company information to account for typos, variations, and abbreviations.
3. AI-Powered Resolution: Once configured, Tilores' AI engine automatically processes your data. It deduplicates records, resolves conflicts, and merges information to construct a unified profile for each entity. This process runs continuously and in real-time as new data arrives.
4. Integrate and Analyze: Access the unified data via the real-time API to power your other applications. For example, you can query the API during user onboarding to check if a new signup is linked to a known fraudulent account. Additionally, users can explore the data within the Tilores dashboard, which often includes entity graph visualizations to help analysts discover hidden relationships and patterns.

Core Features of Tilores

• AI-Powered Identity Resolution: Employs advanced machine learning, including fuzzy matching and probabilistic models, to accurately link records even with inconsistent or incomplete data.
• No-Code Platform: A fully visual, drag-and-drop interface allows users to map data fields and configure complex matching logic without writing a single line of code.
• Real-time API: Provides sub-second API responses, enabling instant identity verification for critical processes like transaction monitoring, user registration, and credit checks.
• Entity Graph Visualization: Maps out relationships between different entities (e.g., users, devices, IP addresses, transactions), making it easy to visualize and investigate complex fraud networks.
• Scalable Architecture: Built to handle billions of records and high-throughput API calls, ensuring performance and reliability as your business grows.
• High-Level Security and Compliance: Designed with data security at its core, helping businesses meet regulatory requirements like GDPR and CCPA.

Use Cases for Tilores

Tilores is versatile and can be applied across various industries:

• Financial Services & FinTech: Enhance KYC and AML compliance by creating a single view of a customer across all products. Detect and prevent application fraud, synthetic identity fraud, and money laundering schemes.
• E-commerce & Marketplaces: Prevent promotion and coupon abuse, stop account takeovers, and identify fraudulent sellers or buyers by linking multiple accounts operated by a single entity.
• Gaming & Social Platforms: Uncover bot networks, combat spam, and enforce policies against multi-accounting to maintain a fair and secure platform environment.
• Insurance: Improve underwriting accuracy by consolidating all information about a policyholder. Detect and investigate fraudulent claims by identifying suspicious connections between claimants, providers, and incidents.

Advantages of Tilores

Implementing Tilores offers significant competitive advantages:

• Enhanced Fraud Detection: Move beyond simple rule-based checks to uncover complex, organized fraud schemes that would otherwise go unnoticed.
• Operational Efficiency: Automate the labor-intensive process of manual data cleaning and reconciliation, freeing up your team to focus on high-value analysis and investigation.
• Faster Time-to-Value: The no-code approach empowers business users to rapidly deploy and iterate on fraud and compliance strategies without long development cycles.
• Improved Customer Experience: A unified customer profile allows for smoother, faster onboarding and more personalized interactions, as you have a complete picture of the customer's history.
• Creation of a Single Source of Truth: Establish a reliable, consistent data foundation that improves decision-making not just in security, but across marketing, sales, and support.

Pricing and Plans

Tilores offers enterprise-level plans tailored to the specific needs of each business. Pricing is typically based on factors such as the volume of data processed, the number of API calls, and the specific features required. To get a custom quote and discuss your requirements, you need to contact the Tilores sales team directly through their website.