Knowing your customer is critical to driving business account growth, identifying theft, and supporting compliance. Identify customers as they enter the bank and take a more proactive approach to preventing fraudulent activity. Computer vision also allows you to analyze customer behaviors and sentiment and identify targeted service and selling opportunities.
With face recognition and NLP validate identity through government documents like passports, driver's licenses, and proof of address to mitigate fraudulent account creation.
Use Computer Vision to gain insights into customer demographics to roll out targeted marketing, adjust product mix, and drive member engagement programs. Proactively identify customers entering the branch for up-selling and cross-selling opportunities. Identify VIP and high potential customers to provide personalized service.
Use face recognition to authenticate identities of account owners and new customers. Receive real-time alerts when people of interest conduct fraudulent transactions.
Use Computer Vision to notify branch managers with real-time alerts when more tellers are needed. Use sentiment analysis to improve teller processes and identify training opportunities for better service.
Leverage text documents faster to support your banking onboarding process and business transactions. Use real-time data to understand your bank demographics to support marketing, product mix, and elevate member engagement.
Use labeled data from transactions or loan applications to set a baseline of data points. Detect deviations in credit, withdrawal, or charge patterns in real time to notify employees to determine fraudulent behavior.
Search and match customer accounts against regulatory watch lists, sanctions lists, and adverse media reporting on the web. Mitigate risk and fraud for both PEPs and REPs.
Determine the intent behind a customer's question in real time to improve service. Respond with product recommendations and financial guidance in 52 languages based on bank locations.
Detect toxic, obscene, racist or threatening language, or train your own custom moderation models with custom concepts.
Assign tags or categories to analyze text based on its contents. Build models for topic analysis, sentiment analysis and smart reply.
Recognize over 11,000 different concepts including objects, themes, moods and more.
Predict the age, gender or cultural appearances of faces.
Detect the location of faces with bounding boxes.
Analyze images and return probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.
Detect items of clothing or fashion-related items.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Recognize more than 1,000 food items in images down to the ingredient level.
Identify the dominant colors present in your images in hex or W3C form.
Recognize textures and patterns in a two-dimensional image e.g., feathers, woodgrain, petrified wood, glacial ice and overarching descriptive concepts (veined, metallic).
Identify different levels of nudity in your visual data. Ideal for moderating and filtering offensive content from your platform.
Recognize specific features of residential, hotel, and travel-related properties.
Recognize over 400 concepts related to weddings including bride, groom, flowers and more.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space computed by our General model.
Identify unwanted content such as gore, drugs, explicit nudity or suggestive nudity.
Create your own model and teach it with your own images and concepts.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.
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