Forward Deployed Capital
Forward Deployed Capital refers to money that an investor doesn't just transfer, but brings directly into a company together with its own experts. The term originates from AI-related startup financing and describes a mix of investment and hands-on work.
Anyone who invests in a young company normally transfers money and waits. With Forward Deployed Capital, things work differently. The investor additionally sends its own people into the company, who work there for weeks or months. They build software, set up workflows, or look after the first customers. “Forward deployed” literally means “moved to the front”: the experts don’t sit at the investor’s headquarters, but on-site with the recipient of the money. The capital thus consists of two parts, money and working time.
Why money alone often isn’t enough for AI companies
Many companies want to use artificial intelligence but don’t fail because of budget. What they lack are people who can actually get such systems up and running. Such specialists are scarce and expensive. An investor who brings both solves a problem that a simple transfer of funds cannot.
For the investor, this has a concrete advantage. They see up close whether the company is working. A normal financial backer only learns of problems in the quarterly report, meaning months late. Anyone with their own people in-house notices difficulties immediately. This lowers the risk of an investment quietly failing.
Critics counter that this mixes two roles. An investor is actually supposed to maintain distance and judge soberly. Anyone who has helped build the product themselves can hardly judge it neutrally anymore. Moreover, the model doesn’t scale well: money can be transferred any number of times, but good engineers cannot be lent out indefinitely.
What the deployed teams actually do
The process is usually similar. First, an investment is made, as is customary in any funding round. Afterward, a small team of two to five people moves into the company for a limited time. It has a clear mandate, for example to integrate an AI tool into existing workflows.
The model comes from the software industry. The company Palantir became known for so-called Forward Deployed Engineers. These are developers who work directly with the customer instead of selling a finished program. Investors have adopted this idea and applied it to their portfolio companies.
The team is usually not paid separately. The investor bears the costs and counts them as part of its commitment. In return, it usually demands a larger stake in the company. This should be distinguished from classic consulting: a consulting firm issues an invoice and leaves again. With Forward Deployed Capital, the investor remains permanently involved through its equity stake and only earns money if the company becomes more valuable later on.
Who invests this way and how to recognize it
The term has been appearing in venture capital news, i.e. news about investments in young companies, since around 2024. Mentioned above all are funds that focus on AI applications for industry, insurance, or logistics. In such sectors, the existing technology is often old and complicated. That is exactly where it helps if someone pitches in.
The model can be recognized by certain phrases. When a fund talks about “operational support,” “embedded teams,” or “hands-on” involvement, this idea is usually what’s meant. Some private equity firms are now buying up entire mid-sized companies and sending in AI teams to automate their workflows.
A common misconception is to mistake Forward Deployed Capital for a new asset class one could invest in oneself. It is not. It merely describes an investor’s way of working. Whether it pays off will only become clear once the first companies supported this way are sold or go public.