Zevonac

Digital Platform

Ready To Turn The AI Revolution To Your Advantage

Your journey with AI begins with the right tools in hand.

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Transform and Protect Your Business with Zevonac

Benefits of AI-Powered Facial Recognition for Fintech Companies

40% Reduction in Fraud – Detect and prevent fraudulent activities in real-time with advanced AI algorithms.

50% Faster Onboarding – Streamline identity verification and reduce customer onboarding time.

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Agentic AI in Facial Recognition

Agentic AI in face image recognition refers to AI systems that are proactive, autonomous, and capable of making decisions or taking actions without constant human intervention.

Here’s a breakdown in 5 key points:

Autonomous Decision-Making

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Zevonac AI

In a world where digital fraud is on the rise, staying ahead of malicious actors is critical. At Zevonac, we specialize in AI-powered facial recognition technology that helps fintech companies combat fraud, secure transactions, and protect customer identities.

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Features

Why Choose "Zevonac"

Real-Time Fraud Detection Identify and prevent fraudulent activities as they happen, ensuring secure transactions
Advanced AI Algorithms Leverage state-of-the-art facial recognition and machine learning models for unmatched accuracy.
Seamless Integration Easy-to-implement solutions that work with your existing fintech platform.
Data Security & Compliance Built to meet global data protection standards like GDPR and CCPA

WHAT WE DO

Top-rated Services For Our Clients

Custom Software Development

At Zevonac, we specialize in building custom software solutions for our clients. Whether you need a web, mobile, or desktop application, we have the expertise to deliver a high-quality product that meets your unique needs.

IT Consulting Services

Our team of experienced IT consultants can help you navigate the complex landscape of modern technology. From infrastructure planning to project management, we provide a full range of consulting services to help your business succeed.

Cloud Computing Solutions

The cloud can be a powerful tool for businesses of all sizes. At Zevonac, we offer a variety of cloud computing solutions to help you improve efficiency, reduce costs, and increase scalability.

Cybersecurity Services

In today's digital landscape, cybersecurity is more important than ever. Our team of experts can help you protect your business from cyber threats with a variety of services, including network security, data encryption, and more.

Managed IT Services

Managing your IT infrastructure can be a full-time job. Let us handle it for you. Our managed IT services provide comprehensive support for your entire technology stack, so you can focus on running your business.

Software Testing and QA

At Zevonac, we understand that quality is key when it comes to software development. That's why we offer a full range of testing and QA services to ensure that your software is bug-free and performs flawlessly.

Features

Face Verification

Our advanced AI facial recognition model leverages deep convolutional neural networks (CNNs) to extract high-dimensional feature vectors from both selfies and group photos. Using a Siamese network architecture, it accurately compares these vectors to determine facial similarity. Seamlessly integrated via our RESTful API, it delivers comprehensive and insightful data.

Percentage Match: A numerical score representing the similarity between the selfie and the detected face in the group photo.
Confidence Level: A probabilistic measure indicating the model's certainty in the match.
Overall Result: A categorical or binary classification determining whether a match was found and its quality.
Euclidean Distance / Cosine Similarity: The raw distance metric used to compare feature vectors, offering deeper insight into similarity calculations.
Bounding Box Coordinates: The precise pixel coordinates outlining the detected face in the group photo.
Landmark Coordinates: Key facial feature points (e.g., eyes, nose, mouth) for detailed facial analysis.

Features

Face Recognition

Our advanced facial recognition search API enables the identification of individuals within extensive image databases. Leveraging a high-performance, scalable vector search engine, our system efficiently compares a query face image against millions of pre-indexed facial feature vectors. This process utilizes deep convolutional neural networks (CNNs) to extract robust, discriminative feature representations, ensuring high accuracy across diverse image conditions

Large-Scale Vector Database: Designed to manage millions of facial feature vectors, enabling fast search and retrieval.
Optimized Indexing: Utilizes advanced techniques like Approximate Nearest Neighbor (ANN) algorithms for accelerated searches.
High-Dimensional Feature Matching: Compares query vectors with database entries using similarity metrics like cosine similarity or Euclidean distance to find the best matches.
Scalable Architecture: A distributed system that supports horizontal scaling, ensuring seamless performance with growing database sizes and query demands.