Spartera is revolutionizing how companies access and share their analytics. The company was founded by Tony DiLoreto and was created to solve a common problem: companies have valuable insights locked away in their systems, and those who need access to them have to deal with complex integrations, long delays, and security risks. The company’s solution to this problem is simple yet powerful: move the computation to where the data lives, rather than moving the data itself. This enables companies to access real-time insights without sacrificing security and infrastructure.

At the core of Spartera’s technology stack is its analytics as a service platform. This platform uses intelligent APIs and backend orchestration to deliver analytics services in a rapid and secure manner. Companies can connect to any database, including BigQuery, Snowflake, Redshift, PostgreSQL, and MySQL, create reusable analytics, and deploy them to various marketplaces, AI agents, and content platforms. The data remains in its original form and location, and access to it remains under complete company control.

Spartera was founded in the sports analytics space but has since moved into other industries. Their platform allows for the sharing of data, monetization of the same, and the provision of timely insights. It has been designed to allow companies to fully utilize the potential of the available data through the provision of timely insights, which can be shared as well as monetized in the most effective manner.

Products Offered by Spartera

Marketplace

Spartera is revolutionizing the way company’s access information. The conventional ways of obtaining information, such as quarterly reports, Google searches, or simply downloading raw data, are time-consuming, incomplete, and outdated. Businesses spend thousands of dollars on outdated information in the form of PDFs; free online data is no longer available, and raw data requires engineering before it can be utilized. Spartera has come to address this challenge by providing verified analytics in real-time directly from the companies that own the information.

Spartera can be described as a search engine for analytics services. The user can simply type in a query in natural language, and Spartera will retrieve relevant results from different verified sources. The user can also customize the query by using different filters to match the required needs. After a query is prepared, it executes securely on the provider’s system, providing live results in a matter of seconds. Data is never transferred out of its location, keeping it secure, compliant, and accurate. Only data analytics are charged for, and each result can be accessed via API for automation.

Spartera’s integration of search, customization, and instant results replaces slow, insecure, and costly data methods with a fast, secure, and reliable solution. Businesses can now get the data they need, fresh, accurate, and ready to go, without the hassle of data processes.

PostGen

PostGen is disrupting sports journalism by using data to produce ready-to-publish content in just a few minutes. Conventional journalism is a lengthy and expensive process where a journalist may spend valuable time researching statistics, checking sources, and editing content. Additionally, sports analytics subscriptions are pricey, making it difficult for small media outlets to keep up. However, PostGen is here to put an end to all these frustrations.

The platform offers access to a wide range of over 14,000 verified pieces of information from various sports leagues, including the NFL, NBA, MLB, and NHL. Users can search for specific statistics and compare different sources. Additionally, users can refine their searches using filters such as date, team, player, or category. Finally, PostGen uses its Gemini-powered AI technology to produce professional content complete with references, images, SEO optimization, and compelling storytelling.

PostGen is suitable for all types of sports content, including recaps, season analysis, player stories, trending stories, beat writing, and executive summaries. The content can be edited completely within the rich text editor, exported into any CMS, and is social media-optimized. PostGen, which integrates real-time analytics, AI-generated stories, and editing, can help users save time, reduce costs, and deliver high-quality sports content while allowing the user to provide accurate sports stories faster than traditional methods, making it accessible for any size organization.

SparteraConnect

SparteraConnect converts the structured data into a real-time AI analytics engine, enabling companies to receive actual insights in real time. SparteraConnect is different from other AI-based chatbots that offer vague answers or rely on static reporting systems. It directly connects to SQL databases, data warehouses, and ML model endpoints to offer descriptive, historical, and predictive analytics without the need to move the actual data, ensuring the results are secure, compliant, and current.

The entire setup process is fast and easy to do. The user simply needs to connect to the data source, set the AI to access the data, set the answer formatting, and deploy it. In no time, the AI assistant can answer questions regarding trends, revenues, customer behavior, product performance, and much more. SparteraConnect integrates well with RAG, which is "Retrieval Augmented Generation." RAG can work well with unstructured documents such as PDFs or wikis, but SparteraConnect excels in analytics that come from structured data. The combination of both creates an AI assistant that can answer business questions as well as document-based questions in one place.

SparteraConnect saves months of integration time, removes costly infrastructure needs, and provides enterprise-grade security to offer speed, flexibility, and efficiency to organizations. Executives, analysts, and AI systems can now access real-time business intelligence directly from the databases, providing the organization's data as a powerful resource ready to be utilized at all times.

Tony DiLoreto | Founder and CEO

Tony DiLoreto is a Founder and CEO of Spartera, with over 20 years of experience in data and AI. DiLoreto is a former Senior AI Architect at Google, where he created enterprise AI/ML solutions and cloud platforms. He has a Master’s in Data Science from Northwestern University and is a specialist in Analytics as a Service, data sharing, and backend orchestration systems.

“Spartera enables companies to transform their Data and AI platforms into analytics products, which can then be sold on a marketplace, published as content, connected to AI agents, or used to deploy AI analysts.”