AskNews is a licensed news infrastructure platform that transforms real-time and historical news into structured, AI-ready context for large language models, agents, and forecasting systems. It replaces unreliable web scrapers and generic search tools with a dependable API trusted by government agencies and financial institutions. The platform enables users to query news directly, such as analyzing TSMC capacity limits on AI companies or Fed rate policy effects on tech stocks.
Funding
Funding not disclosed
Founders
Product
Problem
Most teams building AI systems cobble together a news layer using web scrapers that fail at paywalls, generic AI search that returns noisy public data, or traditional news APIs that hand back raw data requiring extensive processing. These approaches lack reliability, structure, and licensed content, forcing teams to spend significant effort cleaning and verifying information before it can be used effectively.
Solution
AskNews provides a licensed news infrastructure API that turns real-time and historical news into structured, reliable context that LLMs, agents, and forecasting systems can directly use. The platform organizes global news into a unified, AI-native layer, enabling systems to reason with the information rather than just skim links. It is designed for high-stakes environments, trusted by organizations from the UK Cabinet Office and frontier AI labs to insurance, intelligence, private equity, and hedge funds, ensuring that the news context is both current and legally compliant.
Target Audience
Primary customers are AI development teams, data scientists, and researchers at government agencies, frontier AI labs, hedge funds, private equity firms, and insurance companies that need reliable, licensed news data to power their models and analytical tools.
Features
- Licensed news API providing access to real-time and historical articles from a wide range of sources, ensuring legal and reliable data use.
- AI-native platform that structures news into context-ready formats, allowing LLMs and agents to reason with the information directly.
- Direct query capability, enabling users to ask complex research questions like "Analyze how TSMC capacity limits are shaping OpenAI and Anthropic" and receive synthesized answers.
- Designed for high-volume, professional use, with a focus on accuracy and reliability for sectors like government, finance, and intelligence.
- API-based access that integrates into existing AI workflows, eliminating the need for in-house scraping or data cleaning infrastructure.