#newstech

In today’s fast world, readers don’t have time for long articles — they want the headlines, the context, and the facts, fast.

We help news entrepreneurs & digital journalists launch powerful, custom short news apps built from scratch.

✨ Features we deliver: ✔️ Swipe-based, bite-sized news delivery ✔️ Real-time push notifications ✔️ Easy-to-manage CMS for your team ✔️ Multi-language support ✔️ Monetization integrations (ads, subscriptions, etc.)

📲 Launch your own digital newsroom — fast, sleek, and fully yours.

In a rapidly evolving digital landscape, the news and media industry is being reshaped by custom Retrieval-Augmented Generation (RAG) models. These AI-powered systems go beyond basic large language models by combining real-time data retrieval with generative AI to provide faster, more accurate, and context-rich content.

What is Custom RAG? Custom RAG enhances traditional AI models by integrating internal or niche datasets — enabling media companies to deliver highly relevant, fact-checked information in seconds.

Why It Matters for Media:

Reduces fact-checking time

Delivers more reliable, personalized content

Automates newsroom workflows

Enhances audience engagement

Leading publishers are already tapping into this tech to gain competitive advantage and streamline editorial operations.

Read the full article → How Custom RAG is Transforming News & Media

In an era where news is consumed faster than ever, maintaining objectivity and balance in journalism has never been more important. Mohammad Alothman, the CEO of AI Tech Solutions explains how AI tools are stepping in to help journalists create more accurate and unbiased content.

One of the most significant innovations in modern journalism is the use of AI to detect bias in news articles in real time. These tools analyze language patterns, tone, and the framing of stories, flagging potential biases that may unintentionally influence readers' perceptions. The goal? To deliver news that is as balanced and factual as possible.

Here’s how AI is transforming journalism:

Real-Time Bias Detection: AI can scan articles as they're written, identifying subtle biases before they make it to the public.

Ensuring Balanced Coverage: By analyzing different viewpoints, AI tools can highlight when a story may have an imbalanced perspective.

Fostering Trust: As news outlets embrace AI to improve objectivity, it can help rebuild trust with readers who may feel skeptical of biased media.

Fact-Checking Assistance: AI can also assist journalists with fact-checking, ensuring the information they present is verified and accurate.

While AI won’t replace journalists, it can certainly support them in maintaining high standards of truthfulness and fairness. As these tools improve, we can look forward to a more informed public and a more balanced media landscape.

In an era where news is consumed faster than ever, maintaining objectivity and balance in journalism has never been more important. Mohammad Alothman, the CEO of AI Tech Solutions explains how AI tools are stepping in to help journalists create more accurate and unbiased content.

One of the most significant innovations in modern journalism is the use of AI to detect bias in news articles in real time. These tools analyze language patterns, tone, and the framing of stories, flagging potential biases that may unintentionally influence readers' perceptions. The goal? To deliver news that is as balanced and factual as possible.

Here’s how AI is transforming journalism:

Real-Time Bias Detection: AI can scan articles as they're written, identifying subtle biases before they make it to the public.

Ensuring Balanced Coverage: By analyzing different viewpoints, AI tools can highlight when a story may have an imbalanced perspective.

Fostering Trust: As news outlets embrace AI to improve objectivity, it can help rebuild trust with readers who may feel skeptical of biased media.

Fact-Checking Assistance: AI can also assist journalists with fact-checking, ensuring the information they present is verified and accurate.

While AI won’t replace journalists, it can certainly support them in maintaining high standards of truthfulness and fairness. As these tools improve, we can look forward to a more informed public and a more balanced media landscape.

In an era where news is consumed faster than ever, maintaining objectivity and balance in journalism has never been more important. Mohammad Alothman, the CEO of AI Tech Solutions explains how AI tools are stepping in to help journalists create more accurate and unbiased content.

One of the most significant innovations in modern journalism is the use of AI to detect bias in news articles in real time. These tools analyze language patterns, tone, and the framing of stories, flagging potential biases that may unintentionally influence readers' perceptions. The goal? To deliver news that is as balanced and factual as possible.

Here’s how AI is transforming journalism:

Real-Time Bias Detection: AI can scan articles as they're written, identifying subtle biases before they make it to the public.

Ensuring Balanced Coverage: By analyzing different viewpoints, AI tools can highlight when a story may have an imbalanced perspective.

Fostering Trust: As news outlets embrace AI to improve objectivity, it can help rebuild trust with readers who may feel skeptical of biased media.

Fact-Checking Assistance: AI can also assist journalists with fact-checking, ensuring the information they present is verified and accurate.

While AI won’t replace journalists, it can certainly support them in maintaining high standards of truthfulness and fairness. As these tools improve, we can look forward to a more informed public and a more balanced media landscape.