About Spartera
Analytics as a Service for the Modern Data Economy
We eliminate the complexity of analytics delivery by moving processing to where data lives.
Analytics as a Service for the Modern Data Economy
We eliminate the complexity of analytics delivery by moving processing to where data lives.
To connect proprietary data sellers to the AI companies and analytics buyers that need their data — handling infrastructure, engineering, payments, and every relationship so neither side has to.
A world where any company with valuable proprietary data can reach the AI buyers who need it, and any AI company can access the long tail of live proprietary data — without either side managing the complexity in between.
The principles that guide everything we build
Spartera doesn't just list data — we source sellers to spec, close buyers, and manage every relationship permanently. Both sides get an expert working on their behalf, not a directory to navigate alone.
Sellers define what buyers receive — the schema, scope, format, and price. Spartera enforces those rules at the infrastructure level on every query. Control stays with the people who own the data.
Every query runs against the seller's live data environment — not a purchased copy or cached snapshot. AI grounding, RAG workflows, and analytics buyers all receive real-time results that reflect the current state of the world.
The problem was clear from both sides: companies with valuable proprietary data had no way to reach AI buyers — and AI companies had no way to source live proprietary data from thousands of SMBs at scale.
We realized the solution wasn't a data marketplace where sellers list and buyers negotiate. It was active data brokerage infrastructure: build pipelines into sellers' live environments, manage all relationships, handle every payment and contract, and sit permanently between both sides.
Spartera was built from that insight. A platform where proprietary data becomes revenue for sellers — and live, queryable data for AI buyers — without either side doing the work to make it happen.
Key milestones that shaped the platform
Spartera was founded by Tony DiLoreto to solve the data commerce problem he experienced firsthand — valuable proprietary data on one side, AI companies that desperately need it on the other, and no infrastructure connecting them.
Built the core data commerce infrastructure: Spartera Marketplace for analytics commerce, Endpoints for live data delivery, and Connect for MCP-native AI agent access.
Launched the Spartera Marketplace with sports analytics (10,000+ analytics) and predictive weather data from Weather Trends International — demonstrating live, source-direct data commerce at scale.
Launched Spartera Endpoints in early access — enabling sellers to publish production-grade, monetized API endpoints from their live data. Expanding Marketplace verticals through active seller sourcing across finance, healthcare, retail, and operational data.
Today, Spartera connects live proprietary data to the humans, machines, and AI agents that need it. We handle infrastructure, payments, and every relationship in between — so sellers can focus on their data, and buyers can focus on their AI.
The engineers and visionaries building the future of Analytics as a Service
Veteran Data/AI Engineer with 20+ years building scalable data platforms and infrastructure. Former Senior AI Architect at Google where he designed AI/ML solutions for enterprise clients across media, sports, and financial services. Led cloud platform consulting at Google for 8+ years, specializing in data architecture and API infrastructure. Holds MS in Data Science from Northwestern University. Founded Spartera to build the data commerce infrastructure layer he saw missing between proprietary data owners and the AI companies that need their data.
Revenue leader with 25+ years driving enterprise growth across media, entertainment, and sports analytics. Former Sales Director at Lumen Technologies, securing key partnerships with professional sports leagues, broadcasting networks, and sports betting platforms. Founded OrionAI to combine AI-powered automation with proven sales strategies. Track record includes establishing $5M+ in strategic partnerships and consistently leading global sales performance.
Analytics leader with 15+ years building data platforms and insights solutions at scale. Led analytics teams at Google, Amazon, and Instacart, driving data monetization initiatives and self-service analytics adoption across enterprise customers.
Go-to-market specialist with 15+ years helping early-stage startups scale operations and revenue. 2x first business hire to solo founders, delivering operational and financial rigor to drive growth at seed-stage companies.
Cloud FinOps engineer and founder specializing in infrastructure cost optimization and financial efficiency. Helps CTOs and CFOs reduce cloud costs while scaling data platforms through strategic financial and operational oversight.
Customer success executive with 20+ years driving organizational transformation and strategic partnerships across enterprise technology. Expert in building customer-obsessed teams, scaling operations, and enabling adoption of cloud, AI, and data solutions that deliver measurable business outcomes.
Digital marketing and AI intern with a strong foundation in data analytics, CRM processes, and IT solutions. Currently pursuing a Bachelor of Science in IT Management at the University at Buffalo Honors College, with hands-on experience in multi-platform digital engagement, A/B testing, and AI-driven marketing workflows. Brings expertise in data visualization, community engagement, and cross-functional collaboration to support Spartera's growth initiatives.
Early-career account manager passionate about building strong client relationships and driving customer success. Brings fresh perspective on data-driven decision making and customer engagement strategies, supporting clients in maximizing value from the Spartera platform.
Strategic advisors bringing decades of expertise in data commerce, enterprise growth, and platform scaling
Technology executive with decades of experience delivering large-scale business transformation across global organizations. Former SVP of Technology at LIV Golf, led technology strategy across corporate, event, and broadcast domains. Expert in cloud operations, cybersecurity, and converting complex technology investments into measurable business results.
Business development leader with 20+ years in alternative data sales and equity markets. Former Head of Foreign Direct Investment at Italian Trade Agency and Principal at Tyr Data, specializing in helping data vendors find new markets and connecting institutional investors with unique data sets across sectors and asset classes.
Sports analytics pioneer with 20+ years developing predictive models and optimization systems for professional sports organizations. Principal Optimization Specialist at SumerSports, where live NFL draft optimization systems have been deployed for multiple NFL drafts. Former Senior Quantitative Analyst for the San Diego Padres and consulting analyst for multiple MLB and NBA teams. Editorial Board Member for Journal of Sports Analytics and Journal of Sports Betting, bringing deep expertise in Bayesian analytics, genetic algorithms, and sports prediction modeling.
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