The next generation of AI-driven products engineered for rapid scale.

CodefyU's team built a scalable biometric authentication platform supporting face, voice, and fingerprint verification with state-of-the-art AI. Designed for identity providers, the system leverages CNNs, hybrid Siamese networks, and vector databases for real-time feature extraction and high-accuracy matching, even with facemasks. To ensure security, CodefyU implemented privacy-preserving encryption for both local and cloud authentication, enabling continuous identity verification without storing biometric templates. The platform delivers low-latency results locally and in the cloud, making it a trusted foundation for secure, privacy-preserving access at scale.

CodefyU built one of the most advanced Legal AI Platforms powered by LLMs, enabling legal teams to cut contract redlining time by 90%, generate 30-page memos in 10 minutes, and deliver instant one-minute legal guidance. The platform ensures trust with hallucination-minimized output using guarded retrieval and high-accuracy citations to case law and statutes, while offering a seamless five-minute onboarding experience. Backed by leading AI investors, this solution demonstrates how CodefyU combines cutting-edge AI engineering with real-world impact in the legal domain.

CodefyU partnered on the development of iDetect, a non-invasive and scalable COVID-19 detection solution using eye images and AI. The team built advanced CNN and SVM models, applied explainable AI techniques like LIME and Guided Backpropagation, and deployed the system on AWS with a full MLOps pipeline leveraging MLflow, Kubernetes, and Docker. The patented ML algorithm became the cornerstone of the solution, which achieved significant market traction and ultimately led to a strategic acquisition. This project underscores CodefyU's ability to deliver cutting-edge AI innovation with both technical depth and proven commercial impact.

CodefyU developed an LLM-powered ad delivery system for Ad.Net that transformed ad relevance and profitability by leveraging contextual factors such as content, location, time, and device type. Built with open-source LLMs like Llama and Mistral, the system integrated Sentence Transformers, LangChain, and LlamaIndex to enable real-time, privacy-preserving ad targeting. This innovation boosted click-through rates and drove meaningful revenue uplift, setting a new industry benchmark for ad tech while ensuring user privacy through advanced reinforcement learning and secure architectures.