Boomerent gives commercial tenants the capabilities of their own real-estate team — AI-powered lease analysis, service-charge analysis, and deadline management, GDPR-compliant and made in Germany.
A boomerang always returns to the person who throws it. We shaped everything that's broken in the commercial-rent market — missing transparency, complex contracts, no benchmarking, fragmented data — into a boomerang.
Boomerent turns it around: we give commercial tenants back control — with transparency, fair terms, and service charges analyzed on an ongoing basis.
comes backCommercial leases are written by landlords and their lawyers — backed by whole teams of asset managers, controllers, and legal counsel. On the other side of the table sits the tenant: often alone, with no in-house real-estate department, signing clauses on indexation, service charges, and options whose impact only becomes visible years later.
Stephan was responsible for these contracts for over fifteen years on the landlord side — and saw first-hand where the leeway lies and how terms are shaped in the landlord's favour. Ron has spent more than ten years building AI systems that turn complex, unstructured data into reliable analysis — and is making them available to tenants for the first time.
Lease management is rarely a tenant's core business — in-house departments mostly tied up resources instead of creating value. That's exactly where the leverage is: AI gives tenants the analytical power that used to require whole teams, turning a silent cost block into real negotiating strength.
Boomerent grew out of that combination: we bring together insider knowledge from the landlord side and modern AI — so commercial tenants can finally manage their leases, deadlines, and service charges with confidence.
We give tenants the tools that only landlords used to have.
Deep knowledge of the landlord side, combined with research-grade AI.
Stephan spent 16 years leading national and international commercial real estate on the landlord side — in leadership roles at Hines, Cushman & Wakefield, and ECE. As Director he built and led Hines Asset Services, with a portfolio of €6.5 Bn AUM; as Head of Center Management at Cushman & Wakefield he oversaw assets including the Sony Center Berlin. He knows first-hand how leases, service-charge statements, and terms are built — and brings that knowledge to the tenant's side with Boomerent.
Ron holds a PhD (University of Tor Vergata, Rome) in artificial intelligence and machine learning, with over 10 years of experience in automation, AI, machine learning and software. At TH Wildau and as an AI consultant at adesso and Sixt, he has brought data-driven systems into practice; he has also founded startups such as notivo and markencheck.ai. At Boomerent he builds the AI that reliably extracts and analyzes complex contracts, costs, and deadlines.
We know how the other side thinks — because we worked there. That perspective is built into every analysis.
Your data belongs to you: no training on your data, no sharing with third parties. Processing is GDPR-compliant, in part outside the EU in line with its requirements.
Boomerent analyses, benchmarks, and flags anomalies — transparently and traceably. It deliberately does not replace advice from a lawyer.
Stephan & Ron — two founders, one mission
16 years on the landlord side meets AI research — now on yours.
What Boomerent finds, we make traceable — with the source passage and a rationale, not a black box.
We work for tenants. Full stop. Our tools close the imbalance with the landlord side.
Confidential contracts deserve the utmost care — processing in the EU, clear limits, no repurposing.
Boomerent is supported by the Reaktor Wildau startup centre near Berlin — and is based there.
Boomerent GmbH
c/o Reaktor WildauSchmiedestraße 2a15745 WildauMap via OpenStreetMap — no Google, no cookies.
Boomerent and the BAUAKADEMIE group are bringing together two views of operating costs in commercial real estate for the first time: the operator perspective from NEO Impact Benchmarking and the tenant view from Boomerent's automated analysis.
A good month after the beta launch, Boomerent has analysed around 15,000 square metres of commercial space, spread across some 150 leases held by bakery chains, pharmacies, studio operators and a startup incubator.
Boomerent is part of the second batch at the Reaktor Wildau startup incubator, where it continues developing its AI-powered analysis of commercial leases and service-charge statements.
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