Team of Cequence (source: Courtesy of Cequence)
Cequence, a Slovak startup transforming how companies manage contracts through artificial intelligence, has raised a total of €3 million in funding. The investment marks a key milestone for the company, supporting the continued development of its technology and international expansion.
“This investment is a key step on our journey towards international growth,” said Rastislav Kovaľ, CEO and co-founder of Cequence, as cited in the press release. “With the support of Jet Ventures and other investors, we’ll be able to scale our technology faster and help more companies streamline contract management on a large scale.”
The company has closed a new €2 million seed round, led by Jet Ventures (€1.7 million), with participation from Look AI Ventures (€200,000) and a group of angel investors from Slido, one of the most successful startup stories in Slovakia and the Czech Republic.
About Cequence
Founded by five co-founders with expertise in legal, procurement, and technology in 2018, Cequence was born out of frustration with inefficient, manual contract processes in the corporate world. Today, its platform combines AI, automation, and enterprise-grade security to revolutionise contract management.
Headquartered in Prešov, eastern Slovakia, Cequence also operates commercial and specialist teams in Bratislava, Graz, and other European locations. The company’s vision is to become a global leader in CLM – while contributing to the broader Slovak innovation ecosystem.
Cequence will use part of the new capital for technology development, aiming to deepen the functionality of its solution and add new AI features to simplify the work of lawyers and procurement teams. However, the majority of the investment will be allocated to international expansion. In 2025, the startup plans to focus primarily on the DACH region (Germany, Austria, and Switzerland) and Poland, where strong demand for such tools is already evident.
AI helping companies work faster and smarter
Cequence’s AI-powered platform automates the entire contract lifecycle – from drafting and negotiation to approval and performance monitoring. Leveraging the latest technologies, such as ChatGPT, the platform can reduce errors and delays by up to 90 percent, cut contract approval times significantly, and greatly enhance productivity across legal, procurement, and sales teams.
“Cequence is fundamentally redefining how companies manage contracts,” said Kamil Levinský, Managing Director at Jet Ventures. “With a world-class product team, fast deployment, and strong scalability, Cequence is well positioned to become a market leader.”
The demand for automated contract management and AI in Contract Lifecycle Management (CLM) is rapidly increasing, noted Martin Ragan, co-founder and Chief Revenue Officer at Cequence.
“By combining advanced AI with a user-friendly platform, we deliver tangible results – from faster approvals and reduced risk to greater team efficiency,” Ragan said.
Angelo Burgerello, Partner at Look AI Ventures, noted that what sets Cequence apart is its highly specialised AI, trained on real contract data. It has so far delivered a 49 percent turnaround time reduction and a 34 percent productivity increase, based on data from real customer environments – all without disrupting widely used Microsoft ecosystems.
“Moreover, the platform’s real-time collaborative editor and dynamic playbooks turn every contract into a governed, auditable process, giving every stakeholder greater confidence and empowering teams with proactive control over compliance and negotiations,” said Burgerello.
Cequence already serves more than 20 enterprise clients across various industries – including Dell, Arcondis, VÚB Banka, Slovenské Elektrárne, Notino, and Orange. The company is currently in active discussions with over 70 additional prospective clients.
Over the past year, Cequence has achieved 108 percent year-on-year growth in recurring revenue and maintained 100 percent client retention – underlining its strong position in the fast-growing CLM market.
