Stockholm-based AI startup Vessla has emerged from stealth with a US$3.3 million Pre-Seed funding round led by Seedcamp. The round was more than twice oversubscribed and included Inception Fund, Tiny VC, operators from Lovable and OpenAI, Lukas Saari of Tandem Health, Fredrik Hjelm of Voi and Pit, and several angel investors. Founded in 2026, Vessla builds an AI-powered platform to automate workflows for residential and commercial property owners and managers, and it already works with some of the Nordics' largest operators.
Automating Complex Property Workflows
Property operations involve coordination among tenants, managers, suppliers, and finance teams that often requires information to be transferred manually between different systems. A single maintenance request can involve reviewing property records and contracts, managing invoices, and communicating with suppliers. These fragmented workflows create delays, increase administrative costs, and make it difficult for property teams to maintain consistent oversight.
An AI Layer Over Existing Systems
Vessla aims to simplify these processes by providing a shared AI layer that connects existing business software. Its AI agents can retrieve relevant information, apply an organization's operating rules, and execute workflows across connected systems. The platform is designed to work alongside current tools while allowing employees to retain oversight of decisions that require human judgment or approval.
Leadership With Enterprise AI Experience
CEO Orman Gazvini has advised major software companies at McKinsey and worked on strategy and mergers and acquisitions at Pophouse. CTO Kasper Janehag began his career in the space industry working on NASA's Mars 2020 mission and has led major AI projects at QuantumBlack, McKinsey's AI arm. Chief scientist Arash Dabiri has developed and tested agentic AI applications at Andon Labs and QuantumBlack, while other founders gained experience at Legora, Stanford, and Netlight.
Founder Perspectives
Gazvini said AI will fundamentally change how property companies operate, from maintenance and costs to leasing and rental income. He noted that as AI takes on more execution, people's judgment, relationships, and responsibility become even more important. Janehag added that deep integrations, rich context, rigorous evaluation, and clear limits on what agents can do are essential for deploying AI in complex business environments.
Investor Confidence
Seedcamp partner Felix Martinez said the Vessla team has a proven ability to develop cutting-edge AI applications and deploy them in high-stakes enterprise environments. Inception Fund founder and partner Oliver Molander added that winners in vertical AI will become their customers' external AI research and development department. The investors believe Vessla has the technical depth to help property companies stay ahead of rapid AI advances.
A Growing Market for Vertical AI in Real Estate
Vessla is not alone in this field. New York's Uniti raised a US$12 million Series A led by Pathlight to fund agents for leasing, maintenance, and collections, while EliseAI has raised a US$250 million Series E. In 2025, AI-native proptech companies raised around US$4.5 billion in venture financing, and their share of all proptech venture financing increased by 42%, according to the Center for Real Estate Technology & Innovation.
Strategic Goals for Portfolio Performance
Vessla plans to continue developing its agentic operating system with the longer-term goal of connecting leasing, building operations, and investment planning across entire property portfolios. The company aims to enable AI agents to coordinate workflows, identify opportunities to increase income and reduce costs, and support operational efficiency. To maintain momentum, Vessla will need to name customers and demonstrate real savings before larger competitors such as Uniti and EliseAI gain ground.
Vessla's oversubscribed Pre-Seed round highlights growing investor appetite for AI systems that can manage complex, operational real estate workflows without replacing existing software. By focusing on integration, evaluation, and human oversight, the Stockholm-based startup is positioning itself as an external AI development partner for property companies. The coming months will show whether its agents can deliver measurable savings and scale across the fragmented systems that property owners already rely on.