Tilores

What is Tilores?

Tilores is an API-driven platform that unifies scattered customer data across multiple source systems in real-time. It creates a 360° view of customers by cleansing, normalizing, and connecting data from different departments, making it instantly actionable for business needs.

Top Features:

• Real-time unification: connects and standardizes customer data from various systems through a GraphQL API.
• Transparent reasoning: provides clear explanations for each profile merge and relationship mapped within the system.
• Automated sync: returns unified data to source systems without requiring complex engineering resources.
• Identity RAG: empowers LLMs with accurate customer data retrieval through fuzzy search capabilities.

Use Cases:

• Customer 360° view: transforms siloed data into complete profiles for better customer service.
• Fraud detection: identifies suspicious patterns by matching new accounts against existing customer relationships.
• Risk management: improves credit decisions with comprehensive customer data in real-time.
• GenAI applications: provides unified customer data context for more accurate AI responses.

Who Can Use Tilores?

• Data-driven companies: organizations looking to break down information silos across departments.
• Financial services: firms needing accurate customer views for risk assessment and fraud prevention.
• Customer service teams: representatives requiring complete customer information without system-hopping.
• AI developers: teams building applications that need reliable, unified customer data.

Pricing

• Starter (Free): Up to 200,000 UCRs, limited image/text generation features.
• Growth ($19/month): Up to 2M UCRs, enhanced image gen, priority support, advanced templates.

Pros and Cons

Pros:

• Three-step implementation: straightforward process to connect, unify, and utilize customer data.
• Distributed truth: maintains updated data in original systems rather than creating a separate database.
• Scalability: handles both historical and new customer data as your business grows.
• No-code friendly: reduces dependency on developer resources for data integration tasks.

Cons:

• Learning curve: understanding the GraphQL API might require technical knowledge for custom implementations.
• Initial setup: connecting multiple source systems requires careful planning and configuration.
• Cost considerations: pricing details require contacting sales for larger data volumes.

FAQs:

1) How does Tilores handle data privacy and security?

Tilores maintains strict data privacy standards while processing customer information, with appropriate safeguards for sensitive data across systems.

2) Can Tilores integrate with my existing CRM and databases?

Yes, Tilores connects with popular platforms like Salesforce, HubSpot, and Snowflake through prebuilt connectors or its GraphQL API.

3) What makes Tilores different from traditional data warehousing?

Unlike warehouses that centralize data, Tilores unifies and syncs information back to source systems, making each one a distributed truth source.

4) How quickly can I see results after implementing Tilores?

After the three-step setup process, you'll see immediate improvements in data quality, with unified profiles available for use cases.

5) Is technical expertise required to use Tilores effectively?

While the API integration needs technical know-how, the platform reduces ongoing engineering needs for departments using the unified data.