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Brickwise: AI property management software automating rent collection, maintenance, and tenant communication for landlords and estate agents.
Key people at Brickwise.
Brickwise was founded in 2025 by Ismail Jeilani (Founder) and Elias Kassell (Founder).
Brickwise is a property technology company based in London, United Kingdom, that develops artificial intelligence software to automate property management tasks for landlords, estate agents, and real estate professionals. The SaaS platform manages comprehensive daily operations, specifically handling rent collection, maintenance requests, continuous tenant communication, and external contractor coordination without requiring manual human intervention. Operating with a core team of three employees, the system is engineered to replace traditional email and telephone workflows, saving users an estimated twenty hours of administrative labor per week. The enterprise recently secured $500,000 in initial seed funding from lead investor Y Combinator, joining the prominent accelerator program's 2025 cohort to further develop its proprietary automation technology for the commercial and residential real estate markets. Brickwise was officially founded in 2025 by founders Elias Kassell, Ismail Jeilani, and Gregory Janik.
Brickwise was founded in 2025 by Ismail Jeilani (Founder) and Elias Kassell (Founder).
Key people at Brickwise.
Brickwise AI is an AI-powered virtual property manager designed primarily for landlords and estate agents, offering a voice-driven platform that automates tenant communication, maintenance coordination, lease renewals, and other property management tasks[1][4]. The product serves property owners and agents by streamlining operational workflows, reducing manual effort, and improving tenant satisfaction through timely, intelligent interactions.
Founded in 2025 and emerging from the Y Combinator Fall 2025 batch, Brickwise AI leverages artificial intelligence and SaaS technology to address inefficiencies in property management, a traditionally labor-intensive sector[2]. Its growth momentum is supported by early adoption among landlords and agents seeking scalable, cost-effective solutions to manage multiple properties with enhanced responsiveness and data-driven insights[3].
Brickwise AI was founded in London in 2025 by Ismail Jeilani, who has a background in product development and technology[2]. The idea originated from the recognition that property management involves repetitive, time-consuming tasks such as tenant communication and maintenance scheduling, which can be optimized using AI. Early traction was achieved by integrating voice AI to handle tenant calls and maintenance requests, differentiating Brickwise from conventional property management software[1][4]. Participation in Y Combinator’s Fall 2025 batch provided critical seed funding and mentorship, accelerating product development and market entry[2].
Brickwise AI rides the wave of AI adoption in PropTech, where automation and intelligent systems are transforming how real estate assets are managed. The timing is favorable due to increasing demand for scalable property management solutions amid rising rental markets and landlord workloads. Market forces such as the growth of remote property management, the need for cost reduction, and tenant expectations for rapid communication support Brickwise’s value proposition[1][3].
By introducing voice AI into property management, Brickwise influences the broader ecosystem by setting new standards for automation and user experience in real estate operations. It also contributes to the digital transformation of property management, encouraging adoption of AI-driven tools across the sector.
Looking ahead, Brickwise AI is poised to expand its capabilities by deepening AI-driven insights, integrating with more real estate platforms, and scaling internationally. Trends such as increased AI trust, smart home integration, and data-driven property analytics will shape its evolution. As landlords and agents increasingly seek efficiency and tenant satisfaction, Brickwise’s influence could grow, potentially becoming a standard tool in property management.
Its future trajectory will likely focus on enhancing AI sophistication, broadening service scope, and fostering a community ecosystem around AI-enabled property management, tying back to its mission of simplifying and optimizing landlord and estate agent workflows through intelligent automation.