The ultimate multimodal platform for ethical synthetic media generation and deepfake detection.
Kroop AI is a high-performance, multimodal platform designed to address the challenges of the synthetic media era. Its technical architecture is split into two primary engines: Drishya (Detection) and Vach (Generation). Drishya utilizes advanced Convolutional Neural Networks (CNNs) and Vision Transformers to analyze facial landmarks, temporal inconsistencies, and frequency-domain artifacts to identify manipulated visual content with high precision. Simultaneously, its generation engine allows for the creation of high-fidelity synthetic avatars with precise lip-syncing and emotional tone mapping. As of 2026, Kroop AI has positioned itself as a critical layer in the 'Responsible AI' stack, providing enterprises with tools to both create brand-safe digital twins and defend against sophisticated social engineering and fraud attempts involving synthetic audio and video. The platform's API-first approach enables seamless integration into existing KYC (Know Your Customer) and AML (Anti-Money Laundering) workflows, making it a staple for financial institutions, news organizations, and cybersecurity firms looking to verify the authenticity of digital interactions in real-time.
Simultaneously analyzes audio-visual misalignment and spectral inconsistencies in speech to detect deepfakes.
The industry-standard open-source benchmark and dataset for identifying AI-generated video manipulation.
The global industry standard for validating synthetic media detection and visual integrity.
Ending cyber attacks from endpoints to everywhere with the AI-driven MalOp engine.
The Zero-Trust Privacy Layer for Enterprise Agentic Workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Active and passive liveness checks using 3D facial mapping to prevent 'presentation attacks' (photos/screens shown to camera).
Uses Recurrent Neural Networks (RNNs) to detect frame-to-frame flickering typical of GAN-based synthesis.
Generates anatomically correct mouth movements synchronized with provided audio files for existing video templates.
Visualizes the specific areas of a frame that the AI identifies as manipulated using Grad-CAM.
Synthesizes human-like speech from a 30-second sample for localized content creation.
Optional feature to watermark and anchor original content to a blockchain for immutable verification.
Preventing identity fraud where attackers use deepfake videos to bypass video-call verification.
Registry Updated:2/7/2026
Identity approved/denied.
Journalists need to verify if user-generated content (UGC) from conflict zones is real or deepfaked.
CEO recorded a video in English but needs to deliver it in 5 different languages with perfect lip-sync.