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Mondrio raises $3.75M to automate B2B pricing with AI agents

The startup aims to help companies manage complex pricing models as AI-driven variable costs and automated purchasing tools change the B2B landscape.

$3.75Mfunding amount raised

The short version

Why it matters

As AI shifts software from low-cost models to variable-cost models, companies need more dynamic pricing tools to stay profitable. This technology also prepares businesses for a future where they may be negotiating with AI purchasing agents instead of humans.

New funding for pricing AI

Mondrio, an AI-powered B2B pricing platform, has secured $3.75 million in a new funding round. The investment was led by Heartcore Capital and included participation from Pretiosum VC, Hersir Ventures, Cambrena Capital, and Momo VC. The round also drew support from angel investors with specific experience in payments, AI, and CPQ (Configure, Price, Quote) systems.

The company was founded in 2026 by Gregor Biljardt and Joep van den Nieuwenhoff. It currently operates out of two main hubs in Amsterdam and San Francisco. The primary goal of the startup is to help businesses develop, execute, and optimize their pricing strategies while automating the workflows that support those decisions.

With this new capital, Mondrio intends to grow its engineering, pricing, and AI teams. The company plans to use the funds to advance its agent capabilities and strengthen its commercial presence across both the United States and Europe. They also aim to move into new industries, including professional services and manufacturing.

Solving the AI cost problem

Traditional software products often have relatively low marginal costs, which makes pricing them straightforward. However, the rise of AI-powered services has changed this dynamic significantly. Because AI services can generate variable costs with every single interaction, companies face a much harder task in maintaining their profit margins while remaining competitive.

Mondrio is positioning itself to solve these specific challenges for software companies. As AI accelerates the pace of product development, businesses are introducing new features and models faster than traditional pricing processes can keep up with. The platform is designed to ensure that pricing strategies do not become outdated as market conditions and customer expectations shift rapidly.

The startup combines AI agents with human pricing expertise to create a system that adapts continuously. By analyzing market signals, competitive intelligence, and customer behavior, the platform identifies specific opportunities for price adjustments. This allows companies to react to the fast-moving dynamics of the current tech landscape without manual constant oversight.

How the platform works

Mondrio offers two complementary products that bridge the gap between high-level strategy and daily sales operations. The first is Pricing Studio, which focuses on the design and optimization of product packaging and price levels. This tool helps leadership decide how to structure their offerings and what specific price points to set for different segments.

The second product, Deal Engine, brings pricing intelligence directly into individual transactions. It provides specific guidance on quotes, discounts, and renewals while automating the approval process within set parameters. This ensures that the sales team is following the company's broader strategy while still having the flexibility to handle unique customer needs.

By connecting these two products, Mondrio allows information from individual deals to flow back into the broader pricing strategy. This creates a feedback loop where data from every transaction informs future decisions. The platform supports existing pricing teams or allows companies to access Mondrio's own pricing experts for additional help.

Agents and qualitative data

A key distinction of Mondrio's approach is the use of AI agents that go beyond simple data processing. The platform is designed to combine quantitative data with qualitative insights, such as market feedback and actual customer conversations. This allows the AI to identify opportunities and take actions proactively rather than just answering questions.

The company notes that this combination opens up new possibilities for how corporate pricing decisions are made. By incorporating human-like nuances into the data, the AI can provide a more holistic view of the market. This is particularly important as B2B purchasing habits continue to evolve in the age of automation.

Furthermore, Mondrio is preparing for a shift in how businesses research and negotiate for products. As AI increasingly influences how companies compare solutions and negotiate commercial terms, Mondrio aims to help businesses manage these interactions. This includes navigating negotiations with both human buyers and AI-powered purchasing tools used by other firms.

Expanding the reach

While Mondrio currently focuses on B2B technology, the company has clear plans to expand its reach. They intend to bring their AI pricing tools to the manufacturing and professional services sectors. These industries often deal with complex pricing structures that can benefit from the automation and optimization provided by the platform.

The company's growth strategy involves deepening its connection between pricing strategy and deal execution. By making it easier for companies to see how every quote affects their overall revenue goals, Mondrio hopes to become a standard tool for B2B firms. The goal is to provide a seamless experience from the initial design of a product to the final signature on a contract.

As the funding is deployed, the company will focus on making its AI agents more capable of handling complex tasks. By automating the more routine aspects of quoting and approvals, Mondrio allows pricing teams to focus on higher-level strategy. This shift toward proactive AI agents marks a new chapter in how enterprise software manages its most critical financial levers.

What to watch

Try it

Look at your company's current software pricing and consider if your costs increase significantly with every new user interaction or AI query.

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First reported by tech.eu · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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