Mondrio Raises $3.75 Million Seed Round to Connect AI Pricing Strategy With Deal Execution

Mondrio has raised $3.75 million in seed funding to connect two activities that often happen in separate systems: deciding how a business should price its products and carrying those decisions into individual sales deals. The Amsterdam- and San Francisco-based company is building an agentic pricing platform that turns customer conversations, product changes, and deal outcomes into recommendations—and helps sales teams put approved pricing into practice.

The 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 plans to expand its AI and engineering teams, add pricing experts, and strengthen its commercial presence in the United States and Europe.

Connecting Pricing Decisions With What Happens in a Deal

A pricing strategy can look convincing in a spreadsheet and still break down during negotiations. Salespeople encounter objections the original research missed. Customers value features differently from what a product team expected. Discounts become routine, while the reasons behind them remain scattered across calls, CRM records, and approval requests.

Mondrio’s approach is to make those signals part of an ongoing process. Its platform analyzes quantitative data alongside qualitative information, including customer conversations and market feedback, to identify opportunities and recommend changes. Lessons from quotes, negotiations, and renewals then feed back into the next pricing decision.

That connection matters as AI changes the economics of software. A feature that invokes models or performs automated work can create variable costs each time a customer uses it. Packaging, usage allowances, and discounts therefore affect both the attractiveness of an offer and the cost of delivering it. Faster product releases also give companies more frequent reasons to revisit what they charge.

CEO and co-founder Gregor Biljardt said the opportunity lies in agents combining quantitative information with insights from conversations and markets. Mondrio is applying that combination to a commercial workflow in which an apparently small pricing decision can carry consequences across many subsequent deals.

Pricing Studio Turns Research Into an Executable Offer

The company’s Pricing Studio handles pricing design: packaging, pricing models, and price levels. Its published workflow moves through research, design, simulation, decision-making, and rollout, giving teams a way to test an offer before introducing it to customers.

Research can draw on customer surveys, willingness-to-pay information, and AI-generated personas. The platform also lists features for benchmarking, pricing simulations, experiments, and customer migrations. These functions address different questions: which features belong together, which customer groups value them, and how a proposed change could affect an existing customer base.

AI personas provide a way to explore hypotheses, but their responses are simulated evidence rather than observed customer behavior. The useful feedback loop comes from comparing those hypotheses with research and actual commercial outcomes as offers reach the market.

Once a team approves a pricing decision, it can flow into Mondrio’s Deal Engine. That handoff is central to the product’s design: a new price list should influence the quotes customers receive, instead of remaining an analysis that sales teams must translate into their own tools.

Deal Engine Brings Guardrails Into Quoting and Approvals

Deal Engine covers execution, including quote creation, discount guidance, approvals, and the information collected as a deal progresses. Mondrio describes a workflow in which an agent builds a quote using the current price list, evaluates it against policy, and routes exceptions for approval.

The distinction between a recommendation and an authorized action is important. Quotes that meet a company’s rules can move through automated approvals; exceptions can be escalated with supporting context, such as the effect of a discount on margins. The platform’s listed capabilities also include a customer portal, quote engagement tracking, deal insights, and electronic signatures.

This gives the system a potential role beyond reducing the effort of producing a sales document. Repeated objections, unsuccessful offers, or discount patterns can become inputs to pricing design. A company could use that evidence to distinguish a weak package from an isolated negotiation, then adjust its strategy while keeping deal-level controls in place.

Integrations Supply the Commercial Context

Mondrio’s integration catalog shows how it intends to assemble that context. Listed connections include Salesforce and HubSpot for CRM information, Gong for customer conversations, Amplitude and Mixpanel for product usage, and billing systems such as Chargebee, Zuora, and Stripe Billing. DocuSign is listed for Deal Engine’s signing workflow.

These sources represent different views of the same commercial relationship. A CRM records the opportunity, a conversation platform captures what a buyer said, product analytics show usage, and billing records what the customer pays. Bringing those signals into pricing work can help teams assess whether an offer reflects customer value and actual delivery economics.

The catalog assigns integrations to different modules, so the presence of a connection does not mean every system supports identical functions. The broader technical proposition is to connect pricing decisions to the operational records that can explain their results.

Seed Funding Backs Agents and Human Pricing Expertise

Biljardt founded Mondrio in 2026 with Joep van den Nieuwenhoff, its chief commercial officer. The company offers two ways to use the platform: existing pricing teams can work with its AI capabilities, or customers can bring in Mondrio’s pricing experts for additional support.

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

Mondrio’s bet is that pricing becomes more valuable when it operates continuously. The challenge will be turning fragmented commercial evidence into changes that teams can understand, approve, and execute—and then using the results to improve the next decision.