We are pleased to announce that TD Shepherd acts as the strategic advisor to onsite.ai to support the capital raise. Onsite.ai is an AI-based technology startup founded in Germany in 2022, which brings forth automated, AI-powered transportable laboratories for quantitative analysis of air samples to detect mold spores, pollen, soot & others. This cutting-edge technology solution will make a real impact in the world of immediate air quality analysis.
As strategic advisors, TD Shepherd is working closely with onsite.ai to identify and implement new strategies which will help to expand their reach and succeed in fundraising. Our deep tech experts define and manage the fundraising process forward all the way to the term sheet and shareholders agreement.
From determining the ambition to completing all the preparations necessary to start a financing round, we provide valuable support and guidance to the onsite.ai team to achieve their goals and establish/ strengthen their position in the market.
TD Shepherd has a proven track record of success in helping deep tech startups like onsite.ai reach their full potential. We are excited about this partnership with onsite.ai and look forward to taking the project to new heights.
One of the challenges that comes with design services is the cyclical nature of the services business. When the economy tightens and corporates are watching their operational expenses, the first step will be to halt any external contracts/contractors which are not deemed absolutely essential.
Whereas the earlier (staircase) model is a good approach in scaling up revenue and creating new revenue streams, the foundation of the company is still based on the service model: headcount continues to be the main driver (typically up to 60-70% of revenue). In terms of (enterprise) valuation the additional revenue streams, however, will already make a significant difference.
Design services companies typically start small (some exceptions when it concerns management buy-outs) and natural growth is a slow process as it requires hiring and training of engineers based on/driven by the revenue stream of the company. Growth of business is tied to growing the team and it is not always easy to find the engineers.