Vector has announced the close of a $10 million Series A funding round led by SignalFire and HubSpot Ventures. The investment will support the continued development of Vector’s AI-driven advertising automation platform designed specifically for B2B marketers.
Alongside the funding announcement, Vector introduced Vector MCP, a new interface that connects the company’s contact-level advertising data with large language models such as Anthropic’s Claude and OpenAI’s ChatGPT. The integration enables marketers to analyze campaign performance and buyer engagement using natural language queries instead of navigating multiple analytics dashboards.
Vector’s platform focuses on contact-level advertising, allowing B2B marketers to identify and target named buyers using real-time intent signals such as website activity, ad engagement, and competitor research behavior. The company aims to help marketing teams better connect advertising performance with buyer journeys and pipeline generation.
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The new capital will be used to accelerate product innovation and expand the company’s AI automation capabilities. According to Vector, the long-term vision is to reduce repetitive marketing tasks through AI while allowing human teams to focus on strategy, messaging, and creative execution.
“Every marketer we talk to is trying to do more with the same budget and prove it’s working. Vector gives them something that hasn’t existed before, the ability to target specific buyers based on real intent signals in real time. We see the opportunity to connect all the dots in a buyer’s journey and optimize marketing touch-points based on what is working,” said Adam Coccari, Managing Director at HubSpot Ventures. “We’re excited to partner with the team as they build essential infrastructure for our shared customers and beyond.”
Vector stated that Vector MCP represents the first phase of its broader AI roadmap. The interface enables marketers to ask direct questions about campaign performance, buyer behavior, and engagement metrics while receiving immediate, data-backed insights through conversational AI platforms.
The company believes that future B2B go-to-market teams will increasingly rely on AI-assisted workflows to identify buying intent earlier and optimize engagement strategies more effectively.
“The teams that win in B2B GTM will be the ones who capture the right signals early, before intent is obvious and before a competitor gets there first. Vector has built something new: contact-level advertising that transforms anonymous interest into actionable signals and named audiences,” said Varun Ramakrishnan, Principal at SignalFire. “SignalFire invested because we believe that’s foundational to how modern marketers will build pipeline.”
Vector emphasized that its AI strategy is centered on augmenting marketers rather than replacing them. By combining AI-powered automation with real-time buyer intelligence, the company aims to help teams scale campaign execution while maintaining strategic control.
“The prevailing narrative right now is that AI will replace your marketing team. We think that’s wrong,” said Joshua Perk, co-founder and CEO of Vector. “The real opportunity is using AI to compound what good marketers already do. We’re not building a product that takes the marketer out of the loop. We’re building one that gives them better data, faster answers, and the ability to operate at a scale that wasn’t possible before.”