Helsinki-based Zero has raised $10.3 million in Seed funding to build an AI-native go-to-market platform designed to replace traditional CRM systems and the collection of sales, prospecting and customer-success tools built around them. The round was led by Primary Venture Partners, with participation from Inception Fund, Defiant, Greens Ventures and a group of founders and operators from companies including Lovable, Supercell, Langdock and Silo AI.

The funding comes as Zero moves out of beta and makes its platform publicly available, doubling down on the idea that CRM software should do more than store customer information and record activity.

From CRM System of Record to GTM System of Action

Traditional CRM platforms were built around a relatively simple model: sales teams enter customer information, update records, track opportunities and use the system to understand what has already happened.

Zero is taking a different approach.

Its platform uses AI agents to carry out work across the go-to-market process, including building prospect lists, conducting outbound outreach, updating customer records and monitoring customer health. The company describes this as an autonomous GTM operating system rather than another layer sitting on top of an existing CRM.

The goal is to reduce the manual work that typically grows alongside a sales organisation, while bringing prospecting, sales and customer success activity into a more unified system.

AI Agents Across the Customer Journey

Zero's approach covers more than lead generation.

Its agents are designed to work across the customer lifecycle, from identifying prospects and initiating outreach through to keeping customer information current and monitoring relationships after the sale.

That reflects a wider shift in how AI agents are being applied to sales technology. Rather than simply recommending an action or generating content, agents can increasingly handle multi-step workflows such as researching prospects, preparing outreach and updating records.

For Zero, the ambition is to make those actions part of the core GTM system rather than relying on a collection of separate point solutions.

Early Customer Results

Zero says its private-beta customers have already used the platform to replace their existing CRM and many of the tools surrounding it.

According to co-founder Santtu Koivumäki, one beta customer reported doubling new business, while another reduced its sales cycle from 60 days to 30 days after adopting Zero. These figures are company-reported customer results rather than independently verified performance data.

Co-founder Tuomo Riekki has also said that Zero is already being used by hundreds of AI-native startups to run their GTM operations.

A New Approach to CRM

Zero was founded in 2024 by Tuomo Riekki and Santtu Koivumäki, who previously worked at Smartly.io. The founders say their experience scaling a high-growth software business highlighted the limitations of traditional GTM tooling and the amount of manual work required to keep systems updated.

The company previously raised $2.7 million in pre-seed funding led by 20VC in December 2024. The latest round brings Zero's publicly reported funding to around $13 million.

With the new funding, Zero is positioning itself around a larger question for the CRM market: what happens when the system managing customer relationships can actually perform the work itself?

The Bigger Picture

The CRM market is increasingly moving from systems that primarily store information toward platforms that can interpret signals, make decisions and take action.

AI agents are accelerating that transition by allowing sales and revenue teams to automate workflows that previously required multiple tools and repeated manual intervention.

Zero's $10.3 million raise is another signal of that shift. Rather than adding another AI layer to the existing CRM stack, the Helsinki startup is betting that the next generation of GTM software could be built around autonomous agents from the ground up.

For revenue teams, the question is increasingly moving beyond "How can AI help us use our CRM?" to "How much of the CRM work should AI be doing for us?"