- Financial Institutions: Detect fraud, automate KYC and AML workflows, and manage risk with advanced analytics.
- Insurers: Improve claims handling and compliance using unified data and contextual decisioning.
- Government Agencies: Uncover hidden networks, combat organized crime, and streamline investigations.
- Healthcare Organizations: Unify patient data to deliver better outcomes and preventative care at scale.
- Telecom and Enterprises: Drive omni-channel experiences, operational efficiency, and customer insights.
How to Use Quantexa?
- Onboard Data Sources: Integrate and prepare internal and external datasets for analytics and entity resolution.
- Configure Models: Set up rule-based, machine learning, and graph analytics workflows for specific business challenges.
- Leverage Q Assist AI: Use the agentic workspace to analyze, report, and investigate with auditable, contextual intelligence.
- Embed Insights into Workflows: Operationalize recommendations and decision models within existing business processes.
- Dynamic Entity Resolution: Connects ambiguous data for 99% match accuracy and single entity views.
- Agentic AI Copilot: Governed, contextual AI delivers explainable, auditable outputs and recommendations.
- Graph Machine Learning: Surfaces hidden risks and relationships across vast datasets using contextual analytics.
- Industry-Specific Models: Out-of-the-box templates for financial crime, risk, customer intelligence, and more.
- Cloud-Neutral Deployments: Easily integrates with enterprise systems, cloud, and on-premise infrastructure.
- Highly scalable contextual data analytics and decision intelligence.
- Seamlessly embeds insights into routine business workflows.
- Proven accuracy and efficiency gains for regulated industries.
- Wide industry applicability with adaptable use cases.
- Complex setup may require deep data and IT collaboration.
- Training and onboarding recommended for best practices.
- Customization depth can increase deployment time for certain industries.
- Some advanced AI capabilities may need additional licensing.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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