Tilores
Data-driven companies use the Tilores API to create a unified customer view across all their source systems. They build real-time solutions to manage risk, uncover fraud, and deliver personalized digital experiences, without the engineering complexity. Inconsistent, incomplete, and out-of-date customer data makes it hard to align, plan, and report across your business. Before businesses can make use of their customer data, first they need to standardize their schemas, and then unify new and historical data. Even then, building on top of unified customer data in a single centralized system often requires dedicated development resources. Instead, unified customer data should be synced back to each department’s source system, making each system a distributed source of truth. Only then can businesses effectively manage risk, uncover fraud, and better serve their customers. Turn scattered and siloed customer data into a unified Customer 360 view.
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Data Ladder
DataMatch Enterprise (DME) by Data Ladder is an entity resolution and data matching platform that identifies, links, and consolidates records describing the same person, business, or entity across systems. Teams use it to profile, standardize, match, deduplicate, and merge data into a trusted golden record for customer 360, KYC, fraud, and master data management.
DataMatch Enterprise pairs a visual, code-free interface for business teams with a REST API for developers, so the same matching engine works inside applications, pipelines, and AI agent workflows. New capabilities include entity graphs for visualizing linked records, live search for real-time matching, and Docker deployment alongside on-premises and cloud options.
Benchmarked across 15 studies, DataMatch Enterprise finds 5 to 12% more matches with fewer false positives, up to 99% accuracy, and matched 10 million records in 41 minutes.
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aiReflex
Fraud.com's aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud & improve customer trust.
The detection layer analyses your transactional data in real-time to deliver unmatched risk-scoring accuracy. The multi-layer defence identifies suspicious transactions using our adaptive machine learning algorithms, adaptive rules & next-generational behavioural engine to create hyper granular profiles for every individual to identify abnormal behaviour.
aiReflex's Response layer manages fraud centrally via an omnichannel case manager, automating tasks & decision-making to reduce fraud, friction & fraud team inefficiencies. Investigators become superheroes with a 360-degree view of the customer and explainable AI to manage a case with great accuracy & speed, with intelligent search, reporting, queue management & link analysis.
Contact us at fraud.com to learn how we can improve your fraud defences.
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Travel Tree
Travel Tree is a browser-based travel operations platform for destination management companies, tour operators, and travel agencies. It combines an AI-assisted itinerary builder and quotation calculator with tools for importing existing itineraries from files or links, editing trip plans, managing prices and optional services, and sharing branded proposals through secure client links. The platform also includes a travel CRM for inquiries, clients, and suppliers; booking and payment workflows; invoices; supplier price-list handling; and client-facing trip documents such as vouchers and booking references. Teams can publish itineraries on their own websites, prepare proposals in multiple currencies, and translate itinerary content for travelers. Travel Tree is delivered as a cloud web app and is used to organize trip planning, sales, and post-booking operations.
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