London-based startup Monq has emerged from stealth with a $3 million pre-seed funding round aimed at transforming how enterprises negotiate their largest and most complex contracts. The investment gives the company fresh momentum to launch its AI-powered negotiation platform after months of quiet development and pilot testing. It also marks Monq’s formal entry into the enterprise software landscape at a moment when procurement teams are under pressure to deliver more efficiency and value.
Origin and Mission
Monq was founded in April by Revolut and Deutsche Bank alumni Yasin Bostancı and Duygu Gözeler Porchet, who witnessed firsthand how inefficient high-stakes procurement remains inside large organizations. Despite managing deals worth millions, many global corporations still rely on instinct-driven decision-making, fragmented processes and basic tools like spreadsheets and email threads. The founders set out to build technology that brings structure, data and automation to an overlooked yet critical enterprise function.
Market Gap in Strategic Procurement
Enterprises across industries routinely negotiate supplier contracts ranging from $1 million to $100 million, yet the workflow behind these deals has barely evolved in decades. Procurement teams spend significant time on manual, repetitive tasks, resulting in slow cycles, limited transparency and missed opportunities for performance gains. Monq’s thesis is that billions in potential savings and value are lost each year because negotiations are not systematically optimized or supported by real intelligence.
Technology and Platform Approach
At the core of Monq’s platform is a multi-agent AI system that blends contract intelligence, behavioral science and large language model reasoning. Each agent analyzes deal history, supplier performance data and negotiation patterns to predict likely counterparty responses and recommend effective levers such as pricing adjustments or risk-sharing terms. When authorized, the system can autonomously manage portions of a negotiation end-to-end while keeping humans fully in control of the strategy and final decisions.
Human-in-the-Loop Philosophy
Monq emphasizes that its solution is designed to support, rather than replace, procurement professionals by giving them stronger insights and automation where it makes sense. Teams can choose how much of the negotiation process to delegate, from simple recommendations to structured back-and-forth exchanges within predefined guardrails. This approach allows leaders to focus on strategic supplier management and internal alignment while the platform handles repetitive and rule-based interactions.
Early Pilots and Results
Before announcing its funding, Monq ran pilots with FTSE-listed companies and large global enterprises across sectors such as manufacturing, technology, logistics and professional services. These early deployments reportedly led to cost reductions of up to 40 percent, negotiation cycles up to five times faster and millions in additional value identified across categories like capital expenditure agreements, consulting contracts, software licensing and supply chain arrangements. The company views these results as validation that AI-driven negotiation can deliver both financial gains and competitive advantage.
Funding Use and Expansion Strategy
The $3 million pre-seed round, backed by investors including Outward VC, Cornerstone VC, Octopus Ventures, Portfolio Ventures, Endurance Ventures, Lakestar Halo and strategic angels, will be used to scale Monq’s engineering and product teams. The company plans to expand its presence across Europe, the United States and the Middle East to support enterprise customers managing large and recurring supplier spend. Monq is launching with a subscription-based model but is exploring future value-based pricing where customers would pay a percentage of the savings generated through the platform.
Leadership and Investor Perspective
Co-founder and CEO Yasin Bostancı has stated that strategic procurement has been slow to benefit from real automation because it relies heavily on intuition and fragmented institutional knowledge. By grounding decisions in data and machine reasoning, Monq aims to give enterprises more speed, clarity and confidence in their most important negotiations. Investors backing the company believe procurement represents one of the next major frontiers for applied AI as organizations move beyond digitizing workflows and toward reshaping them entirely.
Monq’s emergence signals a shift toward AI-native solutions tackling deep operational challenges rather than surface-level productivity tools. With new capital, measurable pilot outcomes and a clear vision for transforming enterprise negotiations, the company is positioning itself to unlock hidden value for organizations navigating high-stakes supplier relationships. As procurement teams seek more intelligent and scalable approaches, Monq is betting that automated, data-driven negotiation will soon become a standard part of the enterprise toolkit.