Mondrio Raises $3.75 Million Seed Round for AI Pricing Agents

By Daniel Okafor

Mondrio raised a $3.75 million seed round to connect AI pricing with sales-deal execution. Heartcore Capital led the round. Pretiosum VC, Hersir Ventures, Cambrena Capital and Momo VC also invested. Angel investors had backgrounds in pricing, configure-price-quote software, AI and payments.

The Amsterdam- and San Francisco-based company is building an agentic pricing platform. Mondrio says it turns customer conversations, product changes and deal outcomes into recommendations. Sales teams can then apply approved pricing inside live deals. The company plans to expand its AI and engineering teams. It also plans to add pricing experts and strengthen its commercial presence in the United States and Europe.

How does Mondrio connect pricing with sales?

A pricing strategy can look convincing in a spreadsheet and still fail in negotiations, Mondrio says. Salespeople meet objections that initial research missed. Customers may value features differently from product teams. Discounts become routine. Their reasons remain scattered across calls, CRM records and approval requests.

Mondrio’s platform analyzes quantitative data alongside qualitative information, including customer conversations and market feedback, to identify opportunities and recommend changes over time. Its system turns pricing into an ongoing process. Lessons from quotes, negotiations and renewals feed the next decision.

AI is changing software economics, according to Mondrio. A feature that invokes models or automates work can create variable costs with each customer use. Packaging, usage allowances and discounts therefore affect both offer attractiveness and delivery cost. Faster product releases also create more reasons to revisit prices.

CEO and co-founder Gregor Biljardt said: “The opportunity lies in agents combining quantitative information with insights from conversations and markets.” Mondrio applies that approach to a commercial workflow. The company says one pricing decision can carry consequences across many subsequent deals.

What does Pricing Studio do?

Pricing Studio handles packaging, pricing models and price levels. Its published workflow moves through research, design, simulation, decision-making and rollout. Teams can test an offer before releasing it to customers. Research and execution stay linked.

Research can draw on customer surveys, willingness-to-pay information and AI-generated personas. Mondrio also lists feature benchmarking, pricing simulations, experiments and customer migrations. These tools ask which features belong together, which customer groups value them and how a proposed change could affect an existing customer base.

AI personas explore hypotheses, but Mondrio cautions that their responses are simulated evidence. They are not observed customer behavior. The company says teams should compare personas with research and actual commercial outcomes. That comparison should happen after an offer reaches the market.

How does Deal Engine control quotes?

After a team approves a pricing decision, it flows into Mondrio’s Deal Engine. A new price list can then influence customer quotes. Sales representatives no longer need to translate pricing analysis into their own systems.

Deal Engine covers execution, including quote creation, discount guidance, approvals and information collected as a deal progresses. Mondrio describes an agent that builds a quote from the current price list. The agent checks company policy and routes exceptions for approval.

That separation preserves the distinction between a recommendation and an authorized action. Quotes that meet company rules can move through automated approvals. Exceptions can escalate with supporting context. The context can include a discount’s effect on margins.

Mondrio also lists a customer portal, quote-engagement tracking, deal insights and electronic signatures. The company says the system can reduce the effort of producing a sales document. It can also feed repeated objections, unsuccessful offers and discount patterns back into Pricing Studio. That evidence can help distinguish a weak package from an isolated negotiation. Deal-level controls remain in place.

Which systems provide the commercial context?

Mondrio’s integration catalog lists these connections:

• Salesforce and HubSpot for CRM information.
• Gong for customer conversations.
• Amplitude and Mixpanel for product usage.
• Chargebee, Zuora and Stripe Billing for billing records.
• DocuSign for Deal Engine’s signing workflow.

According to Mondrio’s catalog, each source records a different part of the commercial relationship. A CRM records the opportunity. Gong captures what the buyer said. Amplitude and Mixpanel show product usage. Billing records show what the customer pays.

Together, those views can help teams assess customer value and delivery economics. Mondrio assigns integrations to different modules. One connection therefore does not mean every system supports identical functions. The broader goal is to connect pricing decisions with operational records that explain their results.

What will the seed money fund?

CEO and co-founder Gregor Biljardt founded Mondrio in 2026. He founded the company with Joep van den Nieuwenhoff, its chief commercial officer. Mondrio offers two paths for customers. Existing pricing teams can use its AI capabilities. Customers can also bring in Mondrio’s pricing experts for additional support.

The seed funding will support further work on agents, synthetic customer capabilities and the pricing-to-execution connection. Mondrio plans to add pricing architects. It will build relationships with B2B technology companies and private equity firms. The company will also lay groundwork for expansion into manufacturing and professional services.

Mondrio’s thesis is that pricing becomes more valuable when it operates continuously. The company says fragmented evidence must become changes teams can understand, approve and execute. Results should then improve the next pricing decision.

The next test is whether Mondrio can make that loop dependable in manufacturing and professional services. The seed round funds agents, pricing expertise and links between approved prices and customer quotes. Success depends on turning commercial evidence into actions that sales teams can execute and pricing teams can improve.