Vector, a Boston-based startup, has raised a $10 million Series A round led by SignalFire and HubSpot Ventures to build an AI-driven advertising platform that targets named B2B buyers rather than companies or firmographic segments. Alongside the funding, Vector is launching Vector MCP, an interface that connects its contact-level ad data to large language models like Claude and ChatGPT, allowing marketers to query campaign performance and buyer activity in natural language instead of navigating dashboards.
Overview
Vector's core product is a contact-level advertising platform for B2B marketers. It lets demand generation and account-based marketing teams build ad audiences by name—targeting specific buyers based on intent signals such as website visits, ad clicks, and competitor research. This approach aims to replace the traditional method of targeting companies or broad firmographic filters, which often wastes ad spend on uninterested parties.
The $10M Series A will accelerate development of an AI ad automation platform designed to multiply the impact of B2B marketers, not replace them. According to the company, the platform handles repetitive work so marketers can focus on strategy and creative tasks requiring human judgment.
What Vector MCP Does
Vector MCP is described as the only interface that brings Vector's ability to associate de-anonymized ad clickers with ad performance data into LLMs like Claude and ChatGPT. Marketers can ask plain-language questions about their campaigns and buyer activity, and receive answers without switching between platforms or waiting on reports. For example, a marketer could ask "Which accounts clicked on our latest ad but didn't convert?" and get a direct answer.
Tradeoffs
Vector's approach relies on de-anonymizing ad clickers, which raises privacy considerations. The company does not detail how it handles consent or data retention. Additionally, the platform's effectiveness depends on the quality and timeliness of intent signals; if signals are stale or incomplete, targeting accuracy degrades. The MCP interface also requires integration with existing LLM tools, which may add complexity for teams not already using Claude or ChatGPT.
When to Use It
Vector is most useful for B2B marketing teams that need to target specific decision-makers at named accounts, especially in competitive markets where early intent signals matter. It suits demand gen and ABM teams that want to reduce wasted ad spend and prove campaign impact with granular data. Teams that already use LLMs for workflow automation will benefit most from the MCP interface.
Pricing
Vector does not publicly disclose pricing. The company states it is backed by SignalFire and HubSpot Ventures, but no pricing tiers or free tiers are mentioned in the announcement.
Bottom Line
Vector's $10M Series A and MCP launch represent a practical step toward making B2B ad targeting more precise and queryable via natural language. The platform's value hinges on its ability to deliver real-time, de-anonymized intent signals without crossing privacy boundaries. For marketers already comfortable with LLM tools, Vector MCP could reduce dashboard fatigue and speed up campaign analysis.