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For marketers

Less manual assembly, more professional control

SintaSix does not replace professional judgement with a one-click promise. It is designed to handle repeatable preparation, connect working artefacts and preserve decision history, allowing a specialist to test hypotheses faster while remaining accountable for the outcome.

Working context stays intact

The brand knowledge base, segments, messages, creative briefs, campaigns and events belong to one project. When the AI prepares a new proposal, it receives only the permitted context; the specialist can inspect the source facts, prompt version, cost and relationship to the task.

This removes much of the repeated transfer of background information without turning accumulated context into doctrine. Facts can be corrected and versioned; a material change remains visible to the plans and creative that depended on it.

Creative is prepared for review, not blind publication

Copy, images and video move through versions, rights checks, moderation and channel requirements. A marketer can compare variants, request a revision, send an item for approval and only then attach it to a campaign.

One idea receives distinct editions for distinct channels because mechanical reuse rarely respects format or audience expectations. The central proposition and confirmed facts nevertheless remain consistent.

Analytics acknowledges uncertainty

Professional mode opens attribution rules, freshness, completeness and discrepancies. From the Growth Map, the user can move from a visible connection to the campaign, creative or conversation behind it and inspect what was known on a selected date.

The specialist can compare periods, see active experiments and separate a plausible effect from ordinary variation. When a source is delayed or a connection is only partially recovered, that state remains explicit in the conclusion.

AI accelerates the cycle; it does not replace method

The assistant creates value through preparation speed, consistency checks and preserved history. Choosing the question an experiment should answer, judging acceptable risk and interpreting the result still require professional judgement — now made from a more coherent foundation.

Public announcement · October 2026

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