Mondrio raises $3.75M to build AI agents that handle B2B pricing end to end

Mondrio (Amsterdam, Netherlands) has raised $3.75 million (approximately €3.4 million) in a seed round led by Heartcore Capital, with Pretiosum VC, Hersir Ventures, Cambrena Capital, Momo VC, and angels from pricing, CPQ, AI, and payments backgrounds participating. The company builds an agentic pricing platform for B2B companies, designed to handle the full pricing workflow — from designing packages and setting price levels through quote generation, deal negotiations, and renewal management — using AI agents rather than analyst or RevOps headcount.

The company operates a two-product structure: Pricing Studio uses customer research, competitive intelligence, and product data to design pricing packages and price points; Deal Engine carries those packages into the quote and negotiation process, applying discount guardrails at the transaction level. The stated position is that pricing is currently a function that companies either underspend on (treating it as a spreadsheet exercise) or overspend on (bringing in consultants for every pricing cycle), and that an AI agent layer enables the analytical rigour of the consultant model at the operational speed of a software tool.

The $3.75M funds team expansion in AI and engineering, pricing domain expert hires, and commercial operations in both the US and Europe. The company has an Amsterdam base with a commercial team in San Francisco.

The enterprise pricing gap

B2B pricing is structurally underserved by software. CRM systems track deals but don't set prices. ERP systems enforce price lists but don't negotiate. CPQ (Configure, Price, Quote) tools automate quoting but require complex implementation and treat pricing as a configuration exercise rather than a commercial intelligence problem. The result is that most B2B companies maintain pricing through a combination of Excel models, RevOps rules, and experienced salespeople who know intuitively when to discount and by how much.

Mondrio's thesis is that AI agents, supplied with competitive data, customer segment information, and historical deal outcomes, can run that pricing intelligence continuously rather than episodically. For companies with fast-changing pricing — AI SaaS companies resetting price-per-seat models quarterly, enterprise software companies moving from perpetual to subscription — the analytical overhead of a manual pricing cycle is a genuine operational cost.

Heartcore Capital and the AI SaaS beachhead

Heartcore Capital (Copenhagen and Paris), which led the round, invests in early-stage B2B software with a European base and global reach. Its portfolio includes companies at the intersection of data, AI, and enterprise workflows. The lead signals conviction that AI-native pricing infrastructure is a category, not a feature — that B2B pricing is sufficiently complex and sufficiently underserved that a dedicated agent layer is worth backing independently rather than waiting for Salesforce or SAP to absorb it.

The angels from pricing and CPQ backgrounds are operationally significant: a pricing tool that is validated by practitioners who have worked at Zilliant, Vendavo, or similar incumbents is more credible than one that relies solely on the AI-native framing. At this funding level, the company will not compete head-to-head with established CPQ platforms; the realistic near-term market is mid-market AI SaaS companies and growth-stage B2B software businesses where the pricing complexity is real but the IT infrastructure for a full CPQ implementation is not yet justified.