AI SPOTLIGHT

We put the most innovative startups in the construction, AI, and robotics industries in the spotlight.

Start-ups in focus

  • We present start-ups' ideas, technologies, and visions in short portraits, presentations, and interviews – from smart construction management and digital planning to robotics on the construction site.
To the start-ups
Conbotics

Start-ups in focus

We introduce three start-ups.


syte, real estate & land analysis powered by AI

Syte is a German tech startup based in Münster that fundamentally simplifies real estate and land development decisions with an AI-powered data platform. The company digitizes zoning laws, existing property data, and development potential, making this information accessible in real time for professionals in the real estate sector.


What does Syte do?


Syte offers an AI platform that consolidates all relevant property and building data and derives real-time insights into opportunities and risks. At the push of a button, the software reveals infill potential, zoning possibilities, energy retrofit opportunities, and economic scenarios for a given property. Users receive a kind of “X-ray view” of the asset: from cadastral and LiDAR data to building regulations and development scenarios.


Products & Features


Asset Analysis: Automated real-time evaluation of land and building stock based on cadastral, LiDAR, and other specialist data.


Zoning & Infill Potential: Identification of how a plot can be better utilized within existing zoning regulations.


Renovation Plans: AI-supported, standardized renovation scenarios including energy efficiency impacts and investment estimates—also used for bank consulting.


The platform is offered as a web app and B2B SaaS, and can be integrated into existing systems via API. Syte emphasizes data reliability: All AI-generated results are currently verified by expert teams to ensure accuracy and build trust.


Innovation & Benefits


Syte combines comprehensive geospatial data, zoning law, building stock, and AI into a single platform—replacing fragmented and manual analyses. Compared to traditional appraisals and one-off evaluations, the software offers significant time savings, improved comparability, and rapid identification of hidden value potential. For banks, municipalities, and developers, this enables more transparent, scalable, and well-documented investment, financing, and planning decisions.

Optimuse — AI Spotlight AI-Optimuse -Powered Building Engineering

Optimuse 


AI-Powered Building Engineering from Vienna


Optimuse is a deep-tech startup founded in Vienna in 2021, developing AI-driven simulations for the planning, renovation, and operation of buildings. With around 20 employees and €4M in seed funding (seed+speed Ventures, Blum Ventures, Matterwave Ventures, aws Gründungsfonds), the team is currently expanding into Germany and Southern Europe. Founders: Dominik Pezzei (CEO), Fabian Pitscheider, and Felix Maximilian Hofer.


What Does Optimuse Do?

The platform generates a digital twin from existing building plans and compares thousands of design variants for heating, cooling, ventilation, and building envelopes. The result: clear recommendations for the most cost-effective and climate-friendly technical solution — for both new builds and existing stock.


Products and Features

Digital Foundation — Automated massing model in 15 minutes from public records, up to a full BIM twin (Optimuse)


Energy Design — Real-time scenario comparison for retrofit strategies with CRREM-compliant decarbonization pathway analysis


Value Engineering — Early CapEx optimization through simulation of building envelope and technical systems


Energy Performance Analytics — Live comparison of simulated vs. actual consumption via IoT sensors and BMS data


Portfolio Planning — Centralized management of entire building portfolios with prioritization and measure bundling


Innovation and Benefits

70% faster preliminary engineering (EU-Startups)

10% lower construction costs through better sizing

20% additional emissions savings


No more over- or undersizing: in one project, the AI recommended one heat pump instead of three — significantly reducing energy and installation costs (Impact Loop)

SaaS model, available across Europe. 


Target groups: 

project developers, general contractors, facility managers, asset managers



Conbotics

ConBotics is a Berlin-based robotics startup that automates standard painting tasks on construction sites using a painting robot, helping to relieve skilled labor shortages. The founding team—Philipp Heyne, David Franke, and Cristian Amaya Gómez—brings experience from TU Berlin and the Fraunhofer IPK, and is developing lightweight, modular construction robots optimized specifically for interior finishing work.


What does ConBotics do?


ConBotics offers an indoor painting robot that automatically sprays walls and ceilings, mimicking the typical movements of a professional painter. Using sensors and AI, the robot detects walls, windows, and doors and coats large surfaces evenly and reproducibly in professional quality. The solution targets painting companies and construction firms seeking to work faster on job sites with fewer personnel.


How it Works & Applications


The painting robot is composed of multiple lightweight modules and is considered one of the lightest painting robots worldwide. The heaviest component weighs only a few dozen kilograms, making it highly portable. It is intentionally designed to be simple to operate so that painters don't need robotics expertise: the system is brought into the room, set up, and then takes over large-scale spraying largely autonomously. In practice, the robot can complete tasks about twice as fast as manual labor—with significantly less staffing and consistent quality over long shifts.


Innovation & Benefits


Productivity: Painting tasks can be completed much faster, reducing the need for manual surface labor—addressing the skilled labor shortage in the trades.


Quality & Health: The machine delivers highly consistent layer thicknesses, saves materials (up to 20% in paint), and reduces physical strain and inhalation of spray mist for the team.


Modularity & Scalability: The system is modular and can potentially be adapted for other interior trades like floor coating, sanding, or plastering.


Business Model & Market Position


ConBotics was founded in Berlin in 2021 and positions itself as a specialist in robotic solutions for the construction industry. The initial market entry took place via a rental model in Germany; since 2024/2025, the robot is being gradually rolled out for sale, with initial pilot and sales projects especially in Asia (including Singapore and potentially Japan). Supported by industrial and chemical partners (e.g., Uzin Utz, Triflex, Follmann), ConBotics aims to build a modular platform for construction robotics and establish itself as a technological pioneer in automated surface finishing for interior construction.

Interview with Otimuse

AI Spotlight | Optimus


AIAG: Quick intro — who are you and what does Optimus do?

Dominik (Optimus): I’m Dominik, one of the founders of Optimus. We automate building planning. We support everyone from real estate developers to general contractors and also asset/facility management in planning buildings better, selecting the right building services systems, choosing components, and improving renovation planning.


AIAG: How does a project typically start — what do you need from the client?

Dominik: A client provides building data. If the building data is available as a 3D model, it can go straight through our system. If it’s more “traditional” data — PDFs, DWGs, or photos — we convert it.


AIAG: What happens after the upload?

Dominik: The client can upload data very easily. It takes a few minutes and our system converts it into a 3D model or even a BIM model. Our team then performs a quality check so you can be confident the model matches the source documents.


AIAG: What if the client has very limited documentation?

Dominik: They can still upload whatever describes the building. If there isn’t much, we complement it with archetype-based assumptions so a usable model can still be created.


AIAG: What information do you extract or recognize from the documents?

Dominik: We recognize building physics, spaces/rooms, and the architecture and generate a BIM model. We also pull information from reports and store it in a structured way — for example window U-values, window quality parameters, and material information.


AIAG: What is the model used for?

Dominik: It becomes the basis for automated building planning. From the building model we can run energy analyses, create energy certificates, and generate different kinds of planning outputs. For us, it’s a universal model.


AIAG: What goals do clients typically define?

Dominik: Often it’s: “I have a building and I want to invest less,” or “I want to optimize operating costs,” or “I want to achieve a sustainability/certification goal.” We generate multiple variants and can show which option is optimal or most cost-effective.


AIAG: Where do you go deepest — what’s your core domain?

Dominik: Everything that’s building-physics related and technical — engineering topics — that’s our world, especially building services.


AIAG: Can you give examples of variants you compare?

Dominik: For example, a heat pump with underfloor heating versus a heat pump with radiators. Or hybrid systems where the heat pump covers the base load and gas covers the peak load. We look at investment and operating costs, and also feasibility questions like whether geothermal is an option.


AIAG: Do you also evaluate interactions, like envelope measures impacting system sizing?

Dominik: Yes. For example, we check whether installing modern windows actually changes heating demand and how that affects the heating system. We go very deep and can show hourly impacts on building performance.


AIAG: What kind of savings can be possible?

Dominik: Depending on the project, you can save up to around 10% of construction costs.


AIAG: Are you a standalone tool, or do you integrate with other systems?

Dominik: At the moment we are a standalone tool. We don’t currently have other applications integrated.


AIAG: Where are you heading next — what’s on your roadmap?

Dominik: Some companies want to go all the way to the bill of quantities and tendering. We are planning to move in that direction — to make outputs usable up to tendering, not just reading reports.


AIAG: You mentioned “orchestration” — what do you mean by that?

Dominik: On top of the model we trained systems that help customers navigate what to do next and what to look for. For example, in facility management, if you need to replace a pump you can replace it — but how do you replace and improve it? Our system asks additional questions so the right information flows into the model.


AIAG: How do you ensure trust, especially when AI is involved?

Dominik: In the end, the calculation systems need to rely on methods that are proven in the industry. Customers want to know: which standard or calculation method is behind it? Nobody builds something just because “AI suggested it.” That’s why the core has to be established calculation methods.


AIAG: What topics are your customers focused on right now?

Dominik: A lot of them focus on renovating existing buildings and then selling again — that’s a big topic. And some are moving away from typical commercial office buildings toward more specialized, complex asset types that the market is asking for.


AIAG: Where do you see the biggest lever in projects?

Dominik: A major lever is building services engineering, because it has a big impact on costs and performance. Land is what it is, architecture is often driven by the developer’s needs — but the technical systems must meet specific standards, and that’s where optimization can make a big difference.