Frequently Asked Questions

Beep Labs AG is a Swiss joint-stock company based in Zug. It builds an asset token — structured under the Swiss DLT Act and FinSA — backed by a diversified pool of industrial, service and humanoid robots that earn rental and operating income. The aim is to open a robotics asset class, previously reserved for institutional investors, to private investors through a regulated Swiss structure.

A security token is the digital form of a classical security — like a share, bond or participation right — recorded on a blockchain instead of on paper. It is not a speculative “internet coin”: it represents a legal claim to a share in a real asset or business model, with the investor’s terms fixed in the contract. See the glossary entry on the asset token and the article What Asset Tokens Are.

Behind a well-constructed token sits a concrete business model: capital raised is used to acquire real assets. In Beep’s case those assets are robots, which are rented to companies and generate operating income. The token’s value is therefore tied to the underlying assets and how well they are managed — not to market sentiment. More in Where Robots Earn Money.

Security tokens are issued inside a regulated financial framework. Every investor passes identity verification and KYC/AML checks — the same procedures used in classical banking. In Switzerland the DLT Act and FinSA (FIDLEG) give tokenised securities the same legal standing as classical ones.

Finance has digitised for decades — cash became online banking, transfers became instant, trading moved to the smartphone. Securities are the next step: ownership recorded on a register instead of paper documents, with faster, lower-cost transfer. See Forget Bitcoin on why this shift matters.

It is already in use. Amazon passed one million warehouse robots in 2025; service robots run in hotels, restaurants, cleaning and healthcare; industrial robots have worked in factories since the 1970s. The market is broader and more practical than the humanoids in the headlines. See Where Robots Earn Money.

AI showed how fast a technology can move from a corporate tool to a mass market. Robotics is following a similar curve as costs fall and capabilities — AI vision, autonomous navigation, cheaper hardware — mature at once. The difference is that robots act in the physical world, where most of the economy still operates. See A Million Robots.

The early-AI pattern was: a technology first looks niche, then becomes market infrastructure, with much of the value created early. Robotics shows a similar setup as its long-standing constraints fall away together. Whether it plays out the same way depends on how the underlying companies and assets actually perform.

Pure software scales fast but is also copied fast — code can be replicated, interfaces improved, prices undercut. Hardware combined with AI is harder to imitate: it needs manufacturing, supply chains, field deployment and operational know-how on top of good software. That combination tends to defend a market position longer.

Many developed economies face a structural shortage of workers for physical, repetitive jobs — warehousing, production, hospitality, cleaning, retail — with high turnover and rising wage costs. Robots don’t replace whole roles; they take over the straining, hard-to-fill parts, which is why adoption is speeding up. See Where Robots Earn Money.

The digital economy is loud but, by most estimates, still around 15–16% of global GDP. The far larger remainder is physical: producing, moving, assembling, servicing. Automating those tasks is where a large share of the next cash flows is likely to be created.

Most private investors see a trend only once others have already earned on it — by the time of a public listing or loud headlines, much of the move has happened. Early access used to require large sums and private structures. Tokenisation lowers that barrier, letting private investors participate in small units with a clear legal basis. This is general information, not investment advice.

The larger a company already is, the harder it is for it to grow five- or tenfold; beyond a certain scale, giants tend to preserve capital more than multiply it. Earlier-stage and emerging asset classes carry the opposite profile — more potential, but also more risk. This is general information, not a recommendation; decisions belong with an independent advisor.

Robots already work and earn today, but participation in robotics as an asset class — through regulated, tokenised structures — is only now becoming accessible to private investors. The technology is proven; the access is new. As always, “early” means more potential and more uncertainty at once.

Beep is a Swiss-registered platform: you register in the app, complete the identity and compliance checks, and can then participate in a pool of real, working robots via an asset token under Swiss law — following the pool in your account. Beep is built for a long-term horizon; this is not investment advice, and any decision should fit your own circumstances. Background in Who Will Own the Robots.