Lette Raises $6.5 Million to Scale AI Agents for UK Landlords

Lette, an AI-powered property management startup founded by former Nory executives Mohan Sai and Jakub Rajek, has raised $6.5 million in seed funding to expand its AI leasing and resident service operations across the United Kingdom. The round was led by Peak, with participation from Heliad, Foreword VC, Pitchdrive, Adeline, and Intercom co-founder Des Traynor.

The latest funding brings Lette's total capital raised to approximately $7.9 million, following a $1.4 million pre-seed round. Founded in Dublin in March 2025, the company now operates from London and Dublin and plans to use the new capital to strengthen its UK team, expand product and engineering capabilities, and prepare for entry into additional European markets in 2027.

Lette is building AI agents that support landlords and residential property operators throughout the rental lifecycle, from the first leasing enquiry to resident support after move-in. Its approach focuses on automating repetitive operational work while allowing property teams to concentrate on situations that require human attention.

From Restaurant Technology to Property Management

Lette was founded by Mohan Sai and Jakub Rajek, both of whom were founding members of Nory, an AI-powered restaurant management platform launched by Conor Sheridan. Nory has raised $62.6 million in total funding, including a $37 million Series B round in September 2025.

The founders are now applying their experience in operational automation to the residential property sector. Property managers often spend significant time responding to enquiries, transferring information between systems, coordinating maintenance, and updating spreadsheets. Lette aims to automate these tasks so that leasing agents and property management teams can focus more on residents and complex operational issues.

The startup serves operators across several residential property segments, including build-to-rent developments, purpose-built student accommodation, the private rented sector, and single-family rental homes.

Rather than replacing the property management software that operators already use, Lette integrates with existing platforms, including Yardi and MRI. It retrieves information from these systems and sends updates back to them, leaving the existing platform as the main record of property and resident information.

According to the company, this integration-first model allows operators to get started within weeks without migrating their data to a new system. It could make adoption easier for large property businesses that rely on established software and complex operational processes.

AI Agents Handle Leasing and Resident Services

Lette's AI agents are designed to manage much of the rental journey, beginning with an initial enquiry and continuing through the signing of a lease and ongoing resident support.

The agents can communicate with prospective tenants and existing residents through apps, email, WhatsApp, text messages, and voice calls. They can also respond at any time and in multiple languages.

Maintenance coordination is another key use case. For example, a resident could send a photograph of a leaking tap through WhatsApp late at night. Lette's agent can use that information to initiate and coordinate the repair process, helping manage the issue through to resolution.

The platform also identifies missed rent payments early, allowing property teams to intervene before outstanding balances become a more serious problem.

Lette says its agents are already handling more than 60% of resident support and maintenance requests across a portfolio of more than 30,000 units. The company also reports that it has reduced average leasing time from approximately two weeks to fewer than four days.

In another reported example, one build-to-rent operator added more than 1,000 homes without increasing headcount. These performance figures are self-reported by Lette and have not been independently verified in the supplied source.

England's Rental Reforms Put Retention Under Pressure

The funding comes as landlords and residential property operators adapt to changes introduced by England's Renters' Rights Act. The legislation came into law on October 27, 2025, with key tenancy changes taking effect on May 1, 2026, according to the supplied article.

Under the changes described in the report, most tenants can end their tenancy by providing two months' notice. Existing fixed-term tenancies transition to rolling arrangements, changing how landlords approach tenant retention and property occupancy.

For property operators, this increases the importance of responding quickly to prospective tenants, delivering effective resident service, and reducing the time homes remain vacant between occupants. Empty properties can mean lost rental income, while poor communication and unresolved maintenance issues can weaken resident satisfaction.

Lette's proposition is that AI agents can help operators respond faster and maintain more consistent service throughout the resident lifecycle. Instead of treating renewal as an isolated event, operators can use the platform to support the resident relationship continuously.

The company says its funding will help it deepen its presence among UK operators as they adjust to this new operating environment.

A Growing Market for AI-Powered Property Operations

The UK build-to-rent market provides a significant potential customer base for property technology providers. According to the Savills Q2 2026 report cited in the source, the sector comprises 310,310 homes.

More broadly, the supplied article cites a MarketsandMarkets forecast projecting that the global property management software market will grow from $26.49 billion in 2024 to $42.78 billion by 2030.

Lette is entering a competitive market. EliseAI, which provides automation for housing and healthcare, raised $350 million at a reported $4 billion valuation. In Europe, French startup Rivage has raised €1.5 million for AI-based rental management software. Established property software providers are also developing their own AI capabilities, including AppFolio's Realm-X Performers.

These competitors illustrate the growing interest in automating leasing, resident communication, maintenance, and other property operations. Lette's differentiation lies in integrating AI agents into existing systems rather than requiring operators to replace their core property management software.

That approach could lower implementation barriers and help customers adopt automation without disrupting established workflows. However, it also creates a strategic dependency: the company must continue delivering value as the platforms it integrates with develop more advanced AI agents of their own.

Funding to Support UK Growth and European Expansion

Lette plans to use the $6.5 million seed round to expand its UK team and recruit across product, engineering, and customer operations. It also intends to enter additional European markets in 2027. The company says its team has grown sixfold over the past year.

Peak general partner Thijs Dijkman highlighted the founders' technical expertise, commercial judgement, and progress in building relationships with major operators in the UK and Ireland. He also pointed to Lette's focus on the full resident lifecycle as a potential source of long-term value.

The next stage will test whether Lette can maintain its reported operational results as it scales, expand beyond the regulatory conditions in England, and establish a durable position alongside established property software vendors.

For landlords, the opportunity is straightforward: faster leasing, more responsive resident services, and fewer manual tasks. For Lette, the challenge is to turn those benefits into a scalable business before incumbent platforms make similar capabilities standard.