Using automation to help a founder work faster without hiring

We helped Timme2's founder to build an AI prototype that automates the collection and analysis of pricing data for second-hand medical equipment, allowing him to complete valuations much faster and expand his own capacity without relying on analyst hire.

Background

Timme2's founder advises banks and hospitals on the valuation of second-hand medical equipment. This work involved manually analysing invoices and researching market prices.

The goal was to prototype an internal tool to automate this research and structure the data more efficiently.

What we did

We worked with Timme2's founder to design and build a prototype that automated several steps of the valuation process.

The project included:

• building a web scraping tool to collect market price data for medical equipment
• creating a pipeline to extract structured information from invoices and documents
• organising the extracted data into structured datasets for easier analysis

Because the data came from multiple formats and sources, we used AI models to classify and organise the information automatically.

We also explored infrastructure options for data hosting, assessing different storage services to ensure the security of sensitive bank information.

Results & reflections

The working prototype showed how automation could enable the founder to take on significantly more clients without needing to hire additional analysts, creating a clear path to scaling the business efficiently.

The project stopped before the system was fully automated due to budget constraints. However, for us, it was an opportunity to experiment with combining AI models, data extraction, and automation for internal tools.