Collection
The system can collect signals from feeds, websites, APIs, or other sources where usage is permitted.
24AI is a labs product that collects, structures, and publishes information about AI news, models, tools, and policy. Aprex operates the product. The page is proof of automated content and data pipelines, not a replacement for primary sources. Aprex AS is a Norwegian software company in Tønsberg that builds AI solutions, automation, integrations and custom software for businesses. Aprex is not a media or news company.
Last updated: September 16, 2026
24AI shows how Aprex can build a pipeline that collects signals from multiple sources, structures them, updates overviews, and makes information available as a living information surface. The same pattern can be used for internal knowledge bases, market monitoring, product data, or industry intelligence.
Automated publishing must be explained clearly. Content that is generated or updated automatically should be labeled, dated, and connected to sources where relevant. Important decisions should not be based on automated summaries alone.
Labs pages should show real technical capability without turning the main domain into a news publication. The Aprex page explains what the product is, how it should be interpreted, and how the technology can transfer into customer solutions.
24AI shows several technical building blocks in one product: collection, structuring, AI support, and publishing of information.
The system can collect signals from feeds, websites, APIs, or other sources where usage is permitted.
Unstructured information can be grouped by topic, source, date, model, actor, or relevance.
Updated overviews can be published as web pages, feeds, or internal dashboards.
Source use, automation, and limitations must be explained visibly to build trust.
Labs products should link to Aprex's AI policy and separate demo, information, and advice.
Read more →The same architecture can be used in customer solutions for internal knowledge, monitoring, or reporting.
Read more →24AI should always be understood as an automated information surface. For high-value decisions, users should check date, source, method, and primary source before using the information further.
Send what you want to monitor, which sources are permitted, who will use the result, and which decisions the information should support.
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