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Vessla Gets €2.94M To Bring AI Agents To Property Operations

Seedcamp backs Stockholm’s Vessla with €2.94M for artificial intelligence (AI) agents that take routine building work off property teams, inside the software they already run.

Vessla Gets €2.94M To Bring AI Agents To Property Operations
Image courtesy: Vestbee

Vessla has raised €2.94M (about $3.3M) to build AI agents that handle the routine work of running buildings, and is now talking about its product in public for the first time. London seed investor Seedcamp led the pre-seed round, the earliest stage of startup funding.

The Stockholm company says investors offered more than twice the amount it set out to raise. Inception Fund, a €21M Stockholm fund that backs AI startups at the very earliest stage, also invested, as did Tiny VC and people who work at OpenAI and at Lovable, the Swedish AI app builder.

Lukas Saari, co-founder of the medical AI startup Tandem Health, Fredrik Hjelm, co-founder of the e-scooter company Voi, and several individual angel investors joined too. Vessla has not said how it will spend the money.

Vessla describes its product as an agentic operating system for property operations, meaning AI agents that carry out tasks on their own rather than only answer questions. It brings a property firm’s Microsoft 365 tools, its property management software, its finance and back-office systems, its customer records and its phone calls into a single layer.

The agents go through contracts, emails and calls to work out what the firm has promised, by when and to what standard. They then flag what needs attention, do the job and pass it to a person to approve.

“As AI takes on more of the execution, people’s judgment, relationships and responsibility become even more important,” said Orman Gazvini, Vessla’s chief executive.

One Workspace For Owners And Suppliers

Vessla points out that one maintenance request can mean pulling up the property’s records, getting hold of a contractor, updating the work order and chasing the invoice, often in a different system at each step. Its answer is a shared space where owners, operators and subcontractors work on the same job, with its history and every handoff kept in one place.

Staff keep the decisions that need judgment or sign-off, while the agents prepare and carry out the rest across the tools a company already uses. Over time, Vessla wants the system to connect leasing, building operations and investment planning across whole portfolios, with agents hunting for extra rental income and lower costs while property teams decide what matters most.

Trials With Nordic Property Managers

Vessla has not named any customers. On its website, the company says five of the biggest property managers in the Nordics are working with it to test whether linking their systems and adding agents means less manual work, quicker replies, smoother handoffs and happier customers. Prospective clients are invited to start with a pilot covering part of their portfolio.

The site lists compliance with the European Union’s General Data Protection Regulation, the bloc’s privacy law. It says an audit against ISO 27001, the international standard for managing information security, is under way. Work has also started on System and Organization Controls 2 (SOC 2), an independent check of how a firm protects customer data.

Gazvini expects AI to “fundamentally change how property companies operate”, though he added that “the hard part is making it work at scale across the systems and processes those companies already rely on”. Felix Martinez, a partner at Seedcamp, explained the firm’s interest: “Property operations combine recurring work with complex processes and exceptions that require judgment.”

A Team With McKinsey Roots

Gazvini previously advised large software companies at McKinsey and worked on strategy and mergers and acquisitions at Pophouse, the Stockholm entertainment company. Chief technology officer Kasper Janehag started out in the space industry, where he worked on NASA’s Mars 2020 mission, and later led large AI projects at QuantumBlack, McKinsey’s AI arm.

Chief scientist Arash Dabiri built and tested AI agent software at Andon Labs and QuantumBlack, and other team members have worked at the legal AI startup Legora, Stanford University and the consultancy Netlight. Founded this year, the company lists offices in Stockholm and Gothenburg, Sweden, and is hiring engineers and someone to lead sales and marketing, among other roles.

Janehag argues that agents inside a property business need deep connections to its systems, plenty of context, thorough testing and firm limits on what they are allowed to do.

“The real test is whether it can handle the messy, consequential work of a complex business,” he said.

Early Stage, Unnamed Customers

Vessla now has Seedcamp as its lead backer and a handful of large Nordic property managers testing its agents. Those customers are still unnamed, the results so far come from the company alone, and the wider plan to tie leasing, operations and investment planning together has yet to be built.

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