iDenfy
All-in-one platform for identity verification, fraud detection, and compliance.
iDenfy uses a three-layer process to verify identity. This protects startups, financial services, gambling, streaming, ridesharing and other digital services against identity fraud. The process protects companies from the most dangerous forms of identity fraud.
iDenfy offers a variety of fraud prevention services, including business verification, proxy detection and fraud scoring, AML screening, monitoring and AML screening, NFC verification and other fraud prevention services.
iDenfy was founded before AML, GDPR, and fraud regulations were implemented. It pioneered the identity verification process. The company covers the entire ID verification process for users, combining AI biometric recognition with manual human checks to verify they are real users.
Use our ID verification software to save up to 40% on identity verification services. Save up to 40% on identity verification costs by paying only for successful ID verification.
Learn more
D&B Connect
Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
Learn more
DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
Learn more
Hopewiser
Hopewiser stands out as a prominent provider of address verification, data cleaning, and overall data quality enhancements, delivering solutions that significantly boost the precision and effectiveness of business operations. By leveraging real-time information from sources such as the Royal Mail Postcode Address File (PAF), the platform ensures that addresses are accurately validated, allowing companies to reliably reach their intended customers. In addition to address services, Hopewiser offers features for validating email addresses, verifying bank accounts, and maintaining data hygiene, which collectively aid organizations in minimizing errors, thwarting fraudulent activities, and improving communication with clients. Their diverse range of services is accessible through cloud-based applications, independent software packages, and expert consulting options, making it easy for businesses to implement these solutions seamlessly. Furthermore, the flexibility in service delivery ensures that organizations of all sizes can benefit from enhanced data processes.
Learn more