
Manipulation Signals AI Detector
RedFlag AI is a speech and video analysis tool that listens to voice, watches facial expressions, and observes gestures — then flags the moments when they don't align.
Live analyzer · Demo
A quick look at the analyzer in motion. Ready for the real thing? Paste a YouTube URL below — or open the full workspace.
Beta notice
This is the beta version of our solution. The more you use it, the smarter it becomes over time.
Currently, it supports only a single speaker in the frame. We're actively working to remove this limitation.
How it works
About RedFlag
It is a cognitive assistant designed to help you notice moments of potential manipulation.
There is no technology capable of objectively determining truth or falsehood. Human communication is complex, contextual, and deeply situational. Even the most advanced tools — from polygraphs to behavioral analysis — cannot replace human judgment.
What is possible, however, is identifying inconsistencies between different layers of communication. RedFlag analyzes verbal, paraverbal, and non-verbal signals during speech and highlights moments where these signals diverge. Such mismatches may indicate uncertainty, internal conflict, or low confidence in one's own words.
RedFlag does not draw conclusions for you. It simply surfaces "red flags" — moments that may warrant closer attention. The interpretation is always yours.
Science
Across psychology, linguistics, and behavioral science, studies consistently show that deception and manipulation are not expressed through a single universal signal. Instead, they emerge through patterns and contradictions across multiple channels of communication.
Facial expressions, micro-movements, eye activity.
Tone, pitch, rhythm, pauses, speech rate.
Links mental strain to behavioral leakage.
How internal belief shapes outward expression.
There are no "sure signs" of lying — only probabilistic indicators. RedFlag follows this principle strictly. It highlights signal divergence, not "truth" or "lies."
Technology
It detects deviations, identifies inconsistencies, and summarizes the data into simple, intuitive markers.