Mondrio has raised $3.75 million to connect pricing strategy with deal execution, building an agentic pricing platform that turns customer conversations, product changes and deal outcomes into actionable recommendations and executable quotes. The Amsterdam- and San Francisco-based company says the funding will expand its AI and engineering teams, add pricing experts and strengthen its commercial presence in the United States and Europe.
Mondrio’s approach: closing the gap between strategy and sales
Mondrio was founded in 2026 by Gregor Biljardt and Joep van den Nieuwenhoff. The company frames a common problem: a convincing pricing model in a spreadsheet can still fail in negotiations when salespeople encounter objections, customers value features differently than product teams expected, or discounts and approval rationales are scattered across calls, CRM entries and approval requests. CEO and co-founder Gregor Biljardt said the opportunity lies in agents that combine quantitative data with insights from conversations and markets, and Mondrio applies that combination to a commercial workflow where a single pricing decision can affect many subsequent deals.
Pricing Studio turns research into executable offers
Mondrio’s Pricing Studio handles pricing design, including packaging, pricing models and price levels. Its published workflow moves through research, design, simulation, decision-making and rollout, enabling teams to test an offer before sending it to customers. Research inputs can include customer surveys, willingness-to-pay data and AI-generated personas; the platform also lists features for benchmarking, pricing simulations, experiments and customer migrations. The company notes that AI personas provide simulated responses rather than observed behavior, and that useful learning comes from comparing those hypotheses with real research and commercial outcomes as offers reach the market. Once a pricing decision is approved, it can flow directly into Mondrio’s Deal Engine.
Deal Engine: guardrails for quoting and approvals
Deal Engine covers execution tasks such as quote creation, discount guidance, approvals and the collection of deal-level information as negotiations progress. Mondrio describes a workflow in which an agent builds a quote from the current price list, evaluates it against policy and routes exceptions for approval. Quotes that meet company rules can move through automated approvals, while exceptions are escalated with supporting context, for example the effect of a discount on margins. The platform also lists a customer portal, quote engagement tracking, deal insights and electronic signatures. Mondrio positions repeated objections, unsuccessful offers or discount patterns as inputs that can inform pricing design while maintaining deal-level controls.
Integrations supply the commercial context
Mondrio’s integration catalog includes connections to Salesforce and HubSpot for CRM data, Gong for customer conversations, Amplitude and Mixpanel for product usage, and billing systems such as Chargebee, Zuora and Stripe Billing. DocuSign is listed for the signing workflow. The company says these sources provide different views of the same commercial relationship and that assigning integrations to specific modules lets teams assemble the operational records needed to explain pricing results.
The company argues the connection between pricing decisions and deal execution matters increasingly as AI changes software economics. Features that invoke models or perform automated work can create variable costs per use, so packaging, usage allowances and discounts affect both offer attractiveness and delivery economics. Faster product releases also give companies more frequent reasons to revisit pricing.
The funding round was led by Heartcore Capital, with participation from Pretiosum VC, Hersir Ventures, Cambrena Capital, Momo VC and angel investors with backgrounds in pricing, configure-price-quote software, AI and payments. Mondrio says the investment will support further development of agents, synthetic customer capabilities and the link between pricing strategy and deal execution, while also hiring pricing architects, developing relationships with B2B technology companies and private equity firms, and preparing for expansion into manufacturing and professional services.
