Multimodal consistency engine
The multimodal consistency engine assembles dialogue, images, voice, direction and video into a single scene, and never lets a number without evidence reach the screen.
Deliver analysis as conversation, images, voice and video — without contradictions
Good analysis is useless if it does not reach people. Alea Capta delivers results in forms people understand immediately — conversation, images, voice and video.
When several AIs run separately, they contradict each other: they invent numbers, faces change from cut to cut, and lines and expressions don’t match. The multimodal consistency engine aligns them on five criteria: factual consistency, character consistency, emotional consistency, timing consistency and narrative consistency.
A number without evidence never reaches the screen. Every number in a line is checked against the evidence of that moment, and rewritten if it has none. The same character keeps the same face and voice to the end. Dialogue, image and voice are produced in parallel and shown together once all have arrived.
We are not tied to any model. When a better model appears we swap it in and keep the rules. Policy-explainer chatbots, policy promotion videos and character-based conversation services run on this engine.
See also
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