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A German startup offers free cleaning in NYC, but records everything on camera. The collected data is used to train robots. An unusual model that could change the cleaning services market.
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What happened
German startup Mila Robotics entered the New York market with an unusual offer: free apartment cleaning on one condition: the cleaner will work with a camera on their head. All actions are recorded and sent to the cloud to train computer vision algorithms. The company's goal is to create a household robot that will learn to navigate real apartments with their clutter, non-standard furniture, and unpredictable obstacles.
Instead of payment, clients sign consent for video processing and receive a clean apartment. For NYC, this is especially relevant: cleaning rates here start at $80-120 per visit. The startup has already raised a $12 million seed round from European venture funds and plans to expand to other megacities.
How this is useful for business
Mila's model demonstrates a shift in the approach to collecting data for AI training. Instead of laboratory simulations, the company obtains real videos from hundreds of apartments: different layouts, lighting, surface materials, and object placement. This is critically important for creating robots that will work not in sterile conditions, but in the chaos of real homes.
For business, this means several opportunities. First, free marketing through a viral effect: the offer itself generates interest and discussion. Second, access to data that would otherwise be impossible to obtain: videos of real interiors with action annotations. Third, the ability to test hypotheses in a live market without spending on staff recruitment.
How to make money from this
The startup monetizes through several channels. The main one is selling labeled datasets to robotics manufacturers. The household robot market is estimated at $35 billion by 2028, and everyone needs high-quality training data. The second channel is licensing computer vision technology, which can be applied in logistics, warehouse robotics, and medicine.
The third source is a subscription to premium services: clients who want cleaning without cameras pay the standard rate. The result is a classic freemium model with cross-subsidization. One segment of users is attracted by the free service and generates data, while another segment pays for privacy.
Business ideas
1. A crowdsourced camera-based cleaning platform. Organize a network of cleaners who record their work. Sell datasets to manufacturers of robot vacuum cleaners, lawn mowers, and dishwashers. Initial investment: $15-30 thousand for equipment and marketing.
2. A neural network training service for cleaning companies. Create a tool that turns cleaning videos into labeled data. Charge $500-2000 for each prepared dataset. The market is growing by 40% annually.
3. AI implementation consulting for cleaning companies. Help traditional players automate part of their processes: route optimization, demand forecasting, quality control. Contracts from $10 thousand per project.
4. A simulation marketplace for robotics engineers. Develop 3D models of apartments based on real layouts. Sell subscription access to the simulation library for $200-500 per month.
5. An app for collecting data about home interiors. Users photograph their apartments for a reward. The data is sold to furniture companies, developers, and insurers. The model has been proven in Asia and scales successfully.
Risks and limitations
The main risk is regulatory. New York has strict laws on consent to video recording. The state may require the company to obtain written permission from all residents, including neighbors who may be visible through windows. Similar restrictions exist in California and Europe.
The second risk is competition. Google, Amazon, and Tesla are actively developing household robotics. They may acquire a niche player or create a similar service using their own resources. Positioning as an independent data provider becomes more difficult.
The third is a negative audience reaction. Publications about surveillance cause concern. One scandal involving a video leak is enough to destroy the business model. Serious investments in security and legal protection are required.
7-day action plan
Day 1-2: Study video recording legislation in your region. Determine what consents are required, how to store data, and how much it costs from a legal standpoint.
Day 3: Make a list of potential data buyers: robotics manufacturers, research laboratories, and smart home companies. Contact 10-15 of them and learn their requirements for format and volume.
Day 4: Hire 3-5 cleaners with their own equipment. Agree on a pilot project under revenue-sharing terms from the sale of data.
Day 5: Develop a minimum product: an application for uploading and annotating videos, a database, and a client agreement. Test it on yourself and friends.
Day 6: Launch a limited offer for 20-30 apartments. Collect feedback and adjust processes. Start forming the first labeled dataset.
Day 7: Prepare a presentation for potential investors or corporate clients. Show the first results, calculate unit economics. Outline a scaling plan.
Original news: Entrepreneur · See other news in the news section.
