Optiml funding news – Zurich-based Optiml Secures $4Million in Pre-Seed Extension Funding

The AI-powered software of Optiml, an ETH Zürich spin-out, analyzes portfolio assets across the most pertinent ESG and regulatory data sources. Real estate developers and asset managers can utilize this rating to help them make sustainable and financially sound decisions.

The funds will be utilized to grow the team and expedite technological development in order to meet the growing demand from customers in the UK and the DACH area.

Optiml uses AI to manage complex datasets and needs. It is based on proprietary algorithms that have been studied and tested over a five-year period. Insights like suggestive ESG due diligence, best decarbonization and investment strategies, comprehensive Net Zero renovation action plans, and alignment with company needs throughout the building lifecycle are all provided by the solution for portfolios and building assets.

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Financial opportunities are already developing, driving corporations to aggressively decarbonize, as strict regulatory frameworks across Europe are forcing action on CO2e reductions in real estate portfolios—a must-have that is no longer up for dispute.

After completing more than thirty successful pilot projects with significant industry players like AXA, Credit Suisse, and Grosvenor, Optiml has proven to have strong market traction. Currently, the company is onboarding its first large asset managers and consultancies, some of which are already using the solution and recommending it to their clients.

Evan Petkov, CEO and Co-founder of Optiml, explained: “It’s an exciting time at Optiml as we have grown out of the lab 2 years ago with the original founders to now nearly 20 people all focused on our vision to develop the new category of Real Estate Decision & Intelligence platforms - accelerating cost-effective Net Zero with data-driven investment strategies in sustainable buildings. We are using this funding to expand our product’s features, enrich data availability, build APIs, automate data onboarding & ease-of-use, along with an improved customer experience in different geographies.”

Andreas Winter-Extra, Partner at Kompas VC said: “Our investment in Optiml reflects our commitment to back the most innovative companies that will decarbonize the built environment. The power to make effective decision making comes from truly understanding your data and buildings, and Optiml provides the real estate and construction sector with actionable insights to undertake renovation planning at scale. With regulatory frameworks only getting more stringent, and the real estate sector actively looking for a reliable solution to decarbonize the building stock, Optiml is poised to become a leader in this critical market and we look forward to supporting the talented team in the years to come.”

Manfred Heid, Managing Partner at BitStone Capital, noted: “BitStone Capital is excited to be invested in a solution for the real estate industry that has never been seen before. Optiml's decarbonization and renovation software not only serves as a critical tool for achieving Net Zero goals but also as a comprehensive asset management solution, driving portfolio strategies and planning while ensuring strong business returns. The Power of Artificial Intelligence to generate rich insights with few data points, together with the impressive capacity of the team and the positive feedback from satisfied customers have convinced us that this technology is a game changer. We see a great opportunity with Optiml's software to bring the real estate industry towards a more sustainable future.”

About Optiml

Planning for real estate investments and renovations with Optiml Net Zero With the help of their digital solution, real estate asset management is able to take meaningful, practical, and long-lasting action. In addition to incorporating sustainability into their business plan, Optiml also upholds sustainability in their core beliefs and methods, from product design to cloud hosting and code development to reduce environmental effect.