Data Skrive: Seattle's Automated Sports Content Engine for Media, Leagues and Sportsbooks
Data Skrive is a Seattle, Washington technology company that turns sports data into publishable content at scale. Its platform uses machine learning and proprietary language technology to generate game previews, recaps, betting articles, graphics, animations and social posts for media publishers, leagues, teams, university athletic departments and sportsbooks. From its base in Seattle, at dataskrive.com, it supplies some of the best-known names in American sports media, including the Associated Press, ESPN and USA TODAY's sports operation.
The company matters because it addresses a structural problem in sports journalism. There are far more games, teams and players than any newsroom can cover with human writers, yet search engines and fans reward complete, localised coverage. Data Skrive's answer is automation with a marketing discipline: content generated from structured data, shaped around what fans actually search for, and formatted for each distribution channel. This profile explains how a college sports publishing start-up became a software business, who leads it, and how its model changed with the legalisation of sports betting in the United States.
Overview
Data Skrive describes itself as an all-in-one fan engagement solution. A client supplies or licences timely data sets, and the company's engine converts them almost immediately into readable articles and accompanying assets, without requiring editorial handling of each individual piece. The output spans the full life of an event: previews before a game, how-to-watch guides, betting breakdowns, live and post-game recaps, and season and player content between events.
The scale is the selling point. Reporting on the company has noted that some clients purchase more than a million articles a year, and its chief executive has said its stories cover teams and players in 60 leagues across more than 200 cities in the United States and Canada. No human newsroom staffs that breadth. For publishers, the platform fills long-tail coverage gaps and frees their own reporters and bloggers for deeper work; for sportsbooks, it produces the organic content that attracts and retains customers where advertising around betting is restricted.
History and Founding
The company's own boilerplate dates its founding to 2013, by a team combining expert marketers, data scientists and seasoned sports writers, and says it began as a media company. Its public story is usually told through Hero Sports, founded in 2014 as a college sports news publisher. Hero Sports built a content production engine for college sports, but its economics were strained because it paid writers per article, leaving future profitability in doubt.
The pivot followed. Rather than only publishing on its own site, the company productised the machinery behind its content. Brad Weitz, a veteran start-up adviser with marketing technology experience, took over as chief executive in 2017 and led the build-out of software that automatically created sports news content using machine learning. The publishing operation became a software-as-a-service platform under the Data Skrive name, a transition Seattle technology publication GeekWire documented in 2018 as the Associated Press adopted the system. That shift, from selling articles to selling the engine that makes them, defines the modern company.
Ownership and Leadership
Data Skrive is a privately held, venture-backed company. Its best-documented financing is a 7 million dollar round announced in October 2021, led by Bettor Capital, a fund focused on sports betting opportunities. As part of that round, Bettor Capital investment partner Jake Kleiner joined Data Skrive's board. Earlier company profiles also record private investors alongside Bettor Capital, and put total funding at roughly the level of that single large round.
Leadership has been stable through the pivot. Brad Weitz, who arrived as an adviser and became chief executive in 2017, continued to lead the company through the fundraise, when it had about 24 employees. Co-founder Jordan Nilsen has spoken publicly for the company on the betting market, explaining how tighter regulation and squeezed margins in some regions make automated content both a cost mitigator and a growth tool for operators. That pairing, a marketing-technology chief executive and a co-founder focused on the betting opportunity, reflects the company's two markets: media and gaming.
Services and Distribution
The core service is the Fan Engagement Solution: a platform that generates optimised, localised sports content at scale, intended to drive subscriptions for publishers and first-time depositors for sportsbooks. Content types include written articles, social posts, data visualisations, graphics and video or animation. Because the engine is driven by structured data and what the company calls proprietary language graphs, the same underlying facts can be rendered differently for a newspaper website, a team page, a sportsbook content hub or a social feed.
Distribution is therefore client-side. Data Skrive does not primarily publish under its own masthead; its work appears on the sites and apps of the Associated Press, ESPN, USA TODAY Network properties and other customers, usually under the client's brand and search strategy. Weitz has emphasised that the company applies technology with a marketing discipline, analysing search query data so that generated content is built around demonstrated fan interest and formatted to rank in search results, on the reasoning that unseen content, however cheap, is wasted.
Clients and Media Partners
The client list reported across the company's announcements and independent coverage includes the Associated Press, ESPN, NASCAR and the USA TODAY Sports Media Group. The USA TODAY deal, announced in 2022, is illustrative: the group selected Data Skrive to broaden coverage across its digital properties and its network of more than 200 local media brands, taking clean, readable game previews, how-to-watch guides and betting breakdowns so that its own bloggers and reporters could concentrate on deeper, more compelling journalism.
Beyond media, the company sells to sports leagues, individual teams, university athletic departments and sportsbooks. Each segment buys the same capability for a different reason. Leagues and teams want every fixture and athlete covered. Universities want their programmes visible beyond the sports that attract beat reporters. Sportsbooks want compliant, search-friendly content that educates bettors and keeps them on site. Data Skrive's growth after 2018 tracked the rapid state-by-state legalisation of sports betting in the United States, which created an entirely new category of content buyer almost overnight.
Coverage Areas
Coverage breadth is a function of data, not geography. Because the engine works wherever structured sports data is available, Data Skrive's stated footprint of 60 leagues and more than 200 cities in the United States and Canada spans major professional leagues down to college programmes that traditional national media rarely reach. Its Hero Sports heritage was specifically in college sports, the tier where the gap between the number of events and the number of working reporters is widest.
The Associated Press arrangement shows how that breadth is used. From September 2018, AP began publishing Major League Baseball game preview stories created automatically with Data Skrive's technology, using seasonal and historical data provided by Sportradar. AP had not previously produced MLB preview stories at all, so automation did not replace existing journalism; it created a new, complete layer of coverage across every team and fixture, the pattern Data Skrive has repeated for other clients and sports.
Digital Platforms and Technology
Technologically, the company combines machine learning with natural-language generation. Its own descriptions cite proprietary language graphs that translate raw data into varied, readable narrative, avoiding the identical, robotic phrasing that plagued early automated content. Search data is an input, not an afterthought: topics, angles and formats are selected to match what fans in a given market are looking for around a team, player or event.
The platform is delivered as software as a service. Clients integrate their data and distribution endpoints, define the content types and markets they need, and receive articles and assets formatted for those specific channels. The company highlights that millions of articles can be generated from timely data sets and posted without per-piece editorial curation, a claim that explains both its appeal to very large publishers and the strategic debate it raises about the future division of labour between reporters and machines.
Notable Work
The AP baseball previews remain the company's signature public work, because they placed its byline-free automation inside one of the world's most trusted news organisations and were covered as a landmark in robot journalism by Seattle's technology press. The USA TODAY Sports Media Group selection is the second landmark, extending the model across a national network of local sites where hyper-local coverage is the product.
Equally notable is the company's role in betting content. As regulated sports betting expanded and some digital channels restricted gambling advertising, operators turned to organic content as a user-acquisition strategy, a trend Nilsen described when the Bettor Capital round was announced. Data Skrive positioned itself squarely in that shift, selling content not as editorial filler but as a measurable acquisition and engagement channel, which is why a betting-focused fund led its largest publicised investment.
Recent Developments
The October 2021 fundraise set the company's recent trajectory: capital from Bettor Capital, a board seat for the lead investor, and an explicit focus on the regulated betting market alongside its media business. At that point the company reported about two dozen employees and clients buying content at a scale of more than a million articles a year in some cases, figures that underline how completely it had moved from its origins as a small college sports publisher.
Since then, the company's public announcements, including the USA TODAY Sports Media Group deal, have continued the same themes: broader league and city coverage, deeper betting content, and content packages spanning articles, graphics, animation and social formats rather than text alone. Data Skrive's story is ultimately a case study in how automation entered journalism, not through a single dramatic replacement of reporters, but through the unglamorous, enormous long tail of previews, recaps and guides that fans search for every day and that only a machine can cover completely.
