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Minerva Launches AI-Powered Marketing Platform After $20 Million Funding
On 9 June 2026, Brooklyn‑based startup Minerva opened its doors to the public with a new AI‑powered marketing platform, following a $20 million funding round led by The General Partnership, 8VC, Lingotto Innovation, Topology Ventures and NBA Investments. The company also revealed a collaboration with OpenAI to embed the GPT‑5.5 model into its services.
The platform targets chief marketing officers and their teams, helping them consolidate fragmented first‑party customer data, enrich it with proprietary insights, and deploy AI agents that automate campaign creation, analysis, optimization and reporting. Minerva says a new customer can onboard and start using the platform within 24 hours.
Founded by Jackson Engles, Daniel Saedi and Matthew Joseph—who previously worked in finance at Lazard, Bridgewater and Citadel—the trio spotted a gap when Saedi and Joseph used alternative data sets in trading and realized the value of consumer information and the difficulty of turning scattered data into actionable insights. They launched Minerva to help brands leverage AI for better customer understanding, engagement and acquisition.
Key platform components include an Agentic Data Engineer that consolidates and standardises first‑party data, and an Agentic Data Scientist that lets marketers build and deploy predictive models through natural‑language prompts. These features are built in partnership with OpenAI and rely on GPT‑5.5, which the company says can reduce weeks of data‑engineering work to hours.
Minerva also enriches customer profiles with a proprietary identity graph that contains more than 1,000 attributes. In early deployments, the company reports that customers have seen a 3.4‑fold improvement in paid‑media return on ad spend and a 2.5‑fold increase in direct‑mail marketing‑qualified lead rates.
The startup already counts more than 36 customers, including the NBA, Juicebox, Luxury Presence, Trust & Will and Wander. Minerva is working with the NBA to identify opportunities for deeper fan engagement.
"Marketing teams are under pressure to deliver better outcomes with more complexity, more channels and more data than ever before," said Engles, Minerva’s co‑founder and CEO. "Minerva gives marketers the context and infrastructure to understand their customers more deeply and act on those insights faster. Our goal is to give repetitive, operational work to AI so our customers can spend more time on the work that requires real human judgment."
Phin Barnes, co‑founder and managing partner at The General Partnership, added, "AI agents are context‑hungry, and whoever structures the right context for a domain wins that domain. Minerva is building the context layer for marketing. Most brands have valuable first‑party data, but it’s fragmented and hard to use. Minerva turns that data into something AI can actually reason over, so then marketers can act on it."
The new capital will support expansion of Minerva’s engineering, research and go‑to‑market teams, help build a self‑service platform and broaden the company’s focus beyond sports, hospitality and financial services into wider consumer sectors.
Minerva’s launch comes as the AI‑marketing space sees increasing demand for tools that can integrate data, automate workflows and provide actionable insights. The partnership with OpenAI and use of GPT‑5.5 position Minerva to offer advanced agentic capabilities that can adapt to complex marketing goals.
At present, the company’s public offering is limited to the announced investors and the platform is available to new customers on a subscription basis. No additional funding rounds or regulatory filings have been announced.
The company’s next steps include scaling its identity graph, expanding its customer base, and developing further AI agents that can handle more sophisticated campaign tasks. Minerva’s leadership believes that as AI agents become more capable, the value of well‑structured customer context will grow.
In summary, Minerva’s public launch marks the entry of a new AI‑powered marketing platform into the market, backed by a $20 million investment and a partnership with OpenAI. The company’s focus on data consolidation, AI agents and rapid onboarding aims to address the growing complexity of modern marketing operations.
The platform targets chief marketing officers and their teams, helping them consolidate fragmented first‑party customer data, enrich it with proprietary insights, and deploy AI agents that automate campaign creation, analysis, optimization and reporting. Minerva says a new customer can onboard and start using the platform within 24 hours.
Founded by Jackson Engles, Daniel Saedi and Matthew Joseph—who previously worked in finance at Lazard, Bridgewater and Citadel—the trio spotted a gap when Saedi and Joseph used alternative data sets in trading and realized the value of consumer information and the difficulty of turning scattered data into actionable insights. They launched Minerva to help brands leverage AI for better customer understanding, engagement and acquisition.
Key platform components include an Agentic Data Engineer that consolidates and standardises first‑party data, and an Agentic Data Scientist that lets marketers build and deploy predictive models through natural‑language prompts. These features are built in partnership with OpenAI and rely on GPT‑5.5, which the company says can reduce weeks of data‑engineering work to hours.
Minerva also enriches customer profiles with a proprietary identity graph that contains more than 1,000 attributes. In early deployments, the company reports that customers have seen a 3.4‑fold improvement in paid‑media return on ad spend and a 2.5‑fold increase in direct‑mail marketing‑qualified lead rates.
The startup already counts more than 36 customers, including the NBA, Juicebox, Luxury Presence, Trust & Will and Wander. Minerva is working with the NBA to identify opportunities for deeper fan engagement.
"Marketing teams are under pressure to deliver better outcomes with more complexity, more channels and more data than ever before," said Engles, Minerva’s co‑founder and CEO. "Minerva gives marketers the context and infrastructure to understand their customers more deeply and act on those insights faster. Our goal is to give repetitive, operational work to AI so our customers can spend more time on the work that requires real human judgment."
Phin Barnes, co‑founder and managing partner at The General Partnership, added, "AI agents are context‑hungry, and whoever structures the right context for a domain wins that domain. Minerva is building the context layer for marketing. Most brands have valuable first‑party data, but it’s fragmented and hard to use. Minerva turns that data into something AI can actually reason over, so then marketers can act on it."
The new capital will support expansion of Minerva’s engineering, research and go‑to‑market teams, help build a self‑service platform and broaden the company’s focus beyond sports, hospitality and financial services into wider consumer sectors.
Minerva’s launch comes as the AI‑marketing space sees increasing demand for tools that can integrate data, automate workflows and provide actionable insights. The partnership with OpenAI and use of GPT‑5.5 position Minerva to offer advanced agentic capabilities that can adapt to complex marketing goals.
At present, the company’s public offering is limited to the announced investors and the platform is available to new customers on a subscription basis. No additional funding rounds or regulatory filings have been announced.
The company’s next steps include scaling its identity graph, expanding its customer base, and developing further AI agents that can handle more sophisticated campaign tasks. Minerva’s leadership believes that as AI agents become more capable, the value of well‑structured customer context will grow.
In summary, Minerva’s public launch marks the entry of a new AI‑powered marketing platform into the market, backed by a $20 million investment and a partnership with OpenAI. The company’s focus on data consolidation, AI agents and rapid onboarding aims to address the growing complexity of modern marketing operations.
