AGENTS

Data Ingestion

A digital dashboard dashboard showing total files, connected platforms, storage usage, and recent files with their types and dates.

Dectec’s data ingestion engine supports real-time input across formats—text, audio, video, images, API, and SDK—transforming everyday information into AI-ready data. By aiming to capture a person’s 1.2 megabytes of lived data per second, this agent ensures Twins remain deeply personal, current, and context-rich.
Innovation: A universal, multimodal ingestion layer that fuels hyper-personalization and live AI learning—optimized for both individual and enterprise use.

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Video Analyzer

Screenshot of a video analysis report showing a close-up of a woman with long, flowing hair with warm orange to light blonde color styling, against a gradient background of teal and orange. The woman appears to be smiling gently, with changing expressions across six frames, highlighting her hair, eyes, lips, and facial features.

Video Analyzer allows users to upload video files and extract meaning, narrative, and events automatically. It processes sequences to provide context-aware understanding of what’s happening visually and verbally—ideal for training Twins on body language, voice tone, and interpersonal cues.
Innovation: A real-time, semantic video intelligence engine—bridging visual data with LLM context pipelines to create emotionally fluent AI experiences.

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Photo of two golden retriever puppies sitting on a grassy field with colorful flowers, under soft natural light.

Picture Analyzer

Picture Analyzer transforms any image into structured AI training input. From facial cues and emotions to contextual elements in the scene, the system extracts layered insights and converts them into Twin-compatible data. This agent empowers users to teach their Twins through visual storytelling.
Innovation: Vision-to-intelligence translation—enabling AI to learn from visual memory, expressions, and symbolic input without requiring manual annotation.

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