LIVE project

SprachMeld™

API service for real-time checking, moderation and own multi-layer analysis of text-based communication.

Live200+ languagesOwn AI layerOwn translation logic

Public profile API service for real-time checking, moderation and own multi-layer analysis of text-based communication.

SprachMeld™ is an API service for analyzing, checking and moderating text-based messages in real time. The platform sits as a technical review layer between the client and publication or delivery, assessing incoming content before it goes live.

Public profile

The focus is not on a single external component, but rather on its own moderation system made up of dictionaries, rules, its own AI layer and its own translation logic. These building blocks work together as a unified test layer.

The platform already supports more than 200 languages. Language recognition, translation logic, rule-based checking and semantic analysis are combined in such a way that even multilingual or international communication areas can be reliably evaluated.

The company's own AI layer analyzes the meaning, tone, intention and problematic dynamics of a message, thereby adding semantic depth to the controllable rule base.

The system is supplemented by manual moderation, complaint processing and a controlled learning cycle in which confirmed cases can be used to improve the quality of analysis.

What may be visible

Checks messages directly before publishing or sending and returns a technical decision in real time.
Supports more than 200 languages including automatic language detection and growing language coverage.
Detects problematic content such as insults, toxic tones or aggressive communication across your own dictionaries, rules and semantic analysis.
Combines your own AI layer, your own translation logic and rule-based moderation into a common testing architecture.
Additionally allows manual moderation and structured editing of reported content.

Potential

Suitable for platforms, communities, chats, support systems and all products with user-generated communication.
Particularly valuable for international applications where moderation cannot be limited to a few languages.
Can be used as a technical quality and security layer to intercept unwanted content before publication.
The controlled learning cycle creates a reliable basis for constantly improving assessment of real communication cases.
Positions itself not as a simple word filter, but as a serious communication and moderation engine with its own technological substance.

Deliberately not public

Real-time testing, language coverage, your own AI layer, your own translation logic, moderation and the controlled learning approach may be shown publicly. Internally, concrete rules, word lists, evaluation thresholds, training logic, moderation criteria in detail and all the fine mechanics of model improvement remain.