About AskNews
Redefining News for the AI Age
AskNews is a news intelligence platform built by 
for the era of artificial intelligence, where context, structure, and trust are paramount. We transform high-quality journalism into synthetic, structured representations optimized for large language models (LLMs) and high-stakes decision systems — without compromising publisher rights.
We serve developers, analysts, publishers, and readers with enriched news tools that deliver clarity, speed, and insight across forecasting, research, policy, and product workflows.
We serve developers, analysts, publishers, and readers with enriched news tools that deliver clarity, speed, and insight across forecasting, research, policy, and product workflows.
Built on Context Engineering
AI systems struggle to make sense of traditional news articles. Prose is optimized for human readers — not for machines. AskNews solves this with context engineering: the process of converting real-world journalism into synthetic, factual, and machine-usable data that preserves truth while stripping away style, narrative voice, and proprietary phrasing.
Our structured outputs retain essential elements — events, actors, timelines, geographies, sentiment, and causality — and power applications ranging from intelligent agents to forecasting models and knowledge graphs.
Our structured outputs retain essential elements — events, actors, timelines, geographies, sentiment, and causality — and power applications ranging from intelligent agents to forecasting models and knowledge graphs.
Synthetic News Data: Facts Without Compromise
Synthetic data is not a summary. It's a machine-ready, attribution-linked layer of structured knowledge extracted from original reporting. It preserves what happened, when, where, and why — without ever copying how it was said.
This makes AskNews synthetic data ideal for:
This makes AskNews synthetic data ideal for:
- LLM grounding and retrieval-augmented generation (RAG)
- Forecasting, OSINT, and geopolitical risk analysis
- Academic and scientific research
- Automated knowledge graph generation
- News summarization and trend detection
One Ecosystem, Many Interfaces
AskNews is designed to support a wide variety of users:
- Developers can integrate our data via a powerful API and LangChain retriever
- Analysts can explore trends, sentiment, and event linkages via the Newsplunker dashboard
- Readers can interact with curated stories and AI assistants for deep topic exploration
- Publishers can monetize their content in a structured, rights-preserving way
Trusted by High-Stakes Platforms
From academia to AI startups, AskNews is helping reshape how systems and humans understand the news. Our data powers leading organizations in forecasting, research, and risk analysis.
Nathan AckermanPresident & CEO at Riley Risk Inc."Our analysts are saving valuable time doing geopolitical and security risk analysis for our clients with AskNews' impressive knowledge graphs and forecast tools."
Nathan AckermanPresident & CEO at Riley Risk Inc.
"Our analysts are saving valuable time doing geopolitical and security risk analysis for our clients with AskNews' impressive knowledge graphs and forecast tools."
Arash AminiPostdoctoral Fellow, UAutonomy Lab, University of Texas at Austin"Our research into misinformation detection with CrediRAG required the highest quality data source. We landed on AskNews and it far exceeded our expectations."
Arash AminiPostdoctoral Fellow, UAutonomy Lab, University of Texas at Austin
"Our research into misinformation detection with CrediRAG required the highest quality data source. We landed on AskNews and it far exceeded our expectations."
Ben WilsonHead of Bot Forecasting at Metaculus"AI forecasting is a new frontier where every word counts, AskNews data is more reliable and more accurate than anything else out there that we could find."
Ben WilsonHead of Bot Forecasting at Metaculus
"AI forecasting is a new frontier where every word counts, AskNews data is more reliable and more accurate than anything else out there that we could find."
A Transparent and Equitable Foundation
AskNews is powered by 
, our open-source framework for large-scale, adaptive AI deployments. Flowdapt runs high-throughput article enrichments through Llama3.1 that we host on-premise with 
and uses our in-house, fine-tuned GLiNER model for entity extraction. The high performance search infrastructure that underpins AskNews relies on 
AskNews is committed to responsible AI development:
AskNews is committed to responsible AI development:
- We open-source our enrichment models on Hugging Face
- We publish diversity and coverage metrics on our transparency dashboard
- We comply with and exceed EU AI Act transparency standards
- We return 50% of platform revenue to publishers
Join Us
AskNews is not just a platform — it's a blueprint for the future of trustworthy information in the AI age. Whether you're building LLM-powered apps, conducting policy research, or publishing critical journalism, AskNews helps ensure the signal gets through, without sacrificing integrity.
Let's build the future of contextual data. Together.
Let's build the future of contextual data. Together.
Contact
If you have any questions or feedback about AskNews, Emergent Methods, Flowdapt, or any of our other softwares and projects, please contact us at [email protected].
Data Removal Requests
Please direct all data removal requests to [email protected]. Include the full links that you need removed, as well as a screenshot showing the links active on AskNews.
