Technology that identifies or predicts visual data into descriptive output, whether from a single image or a video (streaming or not).

Detects objects within images or videos, tagging them with bounding boxes, labels, and confidence scores. Supports tracking with unique identifiers.

Enhances object detection by marking shapes at the pixel level, useful for detailed annotations like identifying anomalies in medical imagery.

Identifies activities or events involving objects or humans across a sequence of images, such as doors opening or human actions.

Generates new images, videos, or audio from user prompts. Includes natural language processing (NLP) to interpret requests.

Reads characters, including handwriting, and converts physical text to digital for further processing.

Identifies known or unknown faces for security or tracking. Requires high-quality images to ensure accuracy.

Identifies individuals by analyzing movement patterns or body proportions, complementing face recognition.

Recognizes different types of sounds to support alert systems or preventive actions, similar to how human ears work.

Converts spoken audio to text. Commonly used for transcription, summarization, or chatbot functionality.

Authenticates users by their voice. Useful for secure logins or command systems.

Transforms vast, unstructured data into structured formats, patterns, and actionable insights for business growth.

Understands and processes human language to answer questions, summarize, generate follow-ups, and hold conversations—especially valuable in education and customer service.