Valuing intellectual property (IP) accurately for funding or M&A purposes remains one of the most intricate challenges in the industry. IP is often the crown jewel of a tech company, but its true value is elusive, heavily influenced by market conditions, competitive positioning, and future potential—factors that are inherently difficult to quantify.
One of the key challenges lies in the intangibility of IP. Unlike physical assets, whose value can be appraised through established metrics, IP’s worth is often speculative, tied to future revenue streams it might generate.
This makes its valuation highly subjective, dependent on assumptions about market adoption, the pace of innovation, and the ability to defend and monetize the IP.
Moreover, the value of IP can fluctuate significantly based on the context—what might be a strategic asset for one company could be a mere auxiliary benefit for another. This variability complicates negotiations, as both buyer and seller may have different perceptions of the IP’s worth.
At TD Shepherd we have developed numerous custom models to establish a transactional value for IP portfolios. The complexity of these models tends to increase with the size of the IP portfolio. Clustering of IP as well as the age (and hence lifetime) are relevant factors, as are the relevance/foundational value of each IP. IP “reach” in combination with market and market growth have also found their place in these models.
Of course, models, including pricing models, are always an incomplete reflection of the actual value of an IP portfolio. Even though the accuracy of the models has steadily improved, the final cap on all models is inevitably given by a fudge factor: “what is the strategic value of the portfolio to the buyer”. This is where our expertise, market- and industry-knowledge weighs in: not just in the ability to create a credible and defendable model but also to establish a valid insight into the buyer’s motivation and valuation bracket of the IP portfolio.
Refined with AI assistance to bring you clearer insights!
Includes image by freepik
Generating infrared light isn’t difficult. But generating it on a chip — reliably, efficiently, and compactly — is a different story. Traditional IR sources rely on heating elements. They radiate across a wide range of wavelengths, consume significant power, and require filters to isolate the signals. Manageable in labs, unworkable in wearables.
Innovation tends to follow a familiar path: first, we invent something powerful. Then we shrink it. Only then does it become an everyday part of the infrastructure. But one layer is still missing in today’s technology: sensing beyond the visible.
The journey from concept to market looks very different in traditional tech compared to deep tech. While traditional tech benefits from streamlined processes and quicker iteration, deep tech ventures face longer, more complex cycles due to the groundbreaking nature of their innovations.