Key Takeaways
- • Minerva closes $20M Series A funding round led by 8VC and The General Partnership, with participation from Lingotto Innovation, Topology Ventures, NBA Investments, and others, alongside a strategic collaboration with OpenAI.
- • Platform unifies fragmented first-party customer data and enriches it with proprietary identity graph attributes (1,000+) to enable AI-driven marketing workflows deployable within 24 hours of onboarding.
- • Founding team brings quantitative finance pedigree: Jackson Engles, Daniel Saedi, and Matthew Joseph founded Minerva after meeting at Berkeley and launching careers at Lazard, Bridgewater, and Citadel respectively, leveraging alternative data expertise from systematic trading.
- • Target market: Chief Marketing Officers and enterprise marketing teams seeking to convert fragmented customer datasets into actionable campaign intelligence, performance measurement, and customer acquisition optimization across the sales funnel.
- • Core capability addresses data fragmentation problem: Platform enables brands to unify data silos, enrich with external consumer context, and run end-to-end marketing campaigns with AI agents—converting raw first-party data into competitive advantage at scale.
Summary
Minerva, an AI-powered marketing platform, announced its public launch on June 9, 2026, with a $20 million Series A funding round led by 8VC and The General Partnership. The round included participation from Lingotto Innovation, Topology Ventures, NBA Investments, and other investors. The company secured a strategic collaboration with OpenAI to power its AI agents.
The platform addresses a persistent challenge in enterprise marketing: the fragmentation and underutilization of first-party customer data. Minerva's solution unifies disparate customer datasets, enriches them with proprietary identity graph intelligence spanning over 1,000 consumer attributes, and automates end-to-end marketing workflows through AI agents. The company claims brands can deploy campaigns within 24 hours of onboarding, enabling rapid campaign creation, optimization, and performance measurement across customer acquisition funnels.
Minerva was founded by Jackson Engles, Daniel Saedi, and Matthew Joseph, who met at UC Berkeley and subsequently built careers at top-tier financial institutions: Lazard, Bridgewater Associates, and Citadel respectively. The founding team's background in quantitative finance and alternative data strategy directly informed their approach to consumer data. Both Saedi and Joseph previously used alternative datasets for systematic trading and recognized both the commercial potential and operational difficulty of converting fragmented, inconsistent customer data into reliable, actionable intelligence.
The platform's core features within the first 24 hours include: unifying first-party customer data through Minerva's Agentic Data Engineer, enriching customer profiles with proprietary identity attributes, creating and optimizing campaigns at scale, and generating detailed performance analytics and reporting. This workflow directly targets CMOs and marketing leadership seeking competitive differentiation through data-driven customer acquisition and retention strategies.
The funding validates market demand for AI-native marketing infrastructure that can consolidate siloed data ecosystems and accelerate decision-making velocity in an increasingly competitive customer acquisition environment.
The platform addresses a persistent challenge in enterprise marketing: the fragmentation and underutilization of first-party customer data. Minerva's solution unifies disparate customer datasets, enriches them with proprietary identity graph intelligence spanning over 1,000 consumer attributes, and automates end-to-end marketing workflows through AI agents. The company claims brands can deploy campaigns within 24 hours of onboarding, enabling rapid campaign creation, optimization, and performance measurement across customer acquisition funnels.
Minerva was founded by Jackson Engles, Daniel Saedi, and Matthew Joseph, who met at UC Berkeley and subsequently built careers at top-tier financial institutions: Lazard, Bridgewater Associates, and Citadel respectively. The founding team's background in quantitative finance and alternative data strategy directly informed their approach to consumer data. Both Saedi and Joseph previously used alternative datasets for systematic trading and recognized both the commercial potential and operational difficulty of converting fragmented, inconsistent customer data into reliable, actionable intelligence.
The platform's core features within the first 24 hours include: unifying first-party customer data through Minerva's Agentic Data Engineer, enriching customer profiles with proprietary identity attributes, creating and optimizing campaigns at scale, and generating detailed performance analytics and reporting. This workflow directly targets CMOs and marketing leadership seeking competitive differentiation through data-driven customer acquisition and retention strategies.
The funding validates market demand for AI-native marketing infrastructure that can consolidate siloed data ecosystems and accelerate decision-making velocity in an increasingly competitive customer acquisition environment.
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