Partnership advantages for corporates
The startup-corporate relationship is not one-sided. There are also numerous benefits for corporates that can flow from an investment-inspired partnership with a startup – besides the purely monetary ROI. Here are just some of the key ones:
Deepening market intelligence
The success of most mature enterprises rests on maximizing the value of their core offerings and markets – sometimes at the expense of venturing into potential new areas. Obtaining exposure to startups that are taking tangential, novel approaches often broadens a corporate’s thinking on innovation and its go-to-market approaches. As an active partner in numerous startups, G+D Ventures gains direct insights into customer needs, market demands, and competitive landscapes, ensuring a deep understanding of the key elements that drive business success.
That kind of exposure allows a corporation to step outside of its existing ecosystem, see the scope for new products and, critically, assess potential disruptions to its incumbent market position.
As part of its startup search and qualification process, G+D Ventures creates “search fields” that map out the complete ecosystem in which a potential investment lies – profiling the market segment, the key technologies, the competitive landscape, and more. The aim: to see where the “sweet spot” would be for a G+D Ventures investment and identify the most exciting startups in that segment.
But the team also shares that in-depth intelligence with the appropriate business units at G+D, enhancing their product and marketing strategies. Examples of search fields conducted over 2023 include “privacy-enhancing technologies” and “responsible AI” – both highly relevant fields for G+D.
Tapping into an entrepreneurial mindset
Startups have operational models and different ways of working that larger corporates can learn a lot from. Besides agile development, lean decision-making processes, and new models for remote working, startups apply techniques such as “growth hacking” that corporates seldom use. While not all of these can be applied one-to-one by a corporate, some can be adopted and greatly influence its success.
Partnership opportunities
Finally, product and solution partnerships have great commercial potential for corporates as well as startups. A corporation refining or supplementing its established offerings with fresh, adjacent, and sometimes disruptive solutions from a startup can add value for the customers of both parties.
Two examples of G+D Ventures investments that demonstrate the high strategic potential of such partnerships are Salv and Yields.io.
Salv, established by former Skype and Wise employees, specializes in financial crime solutions. Its current focus is on addressing the ever-growing need for anti-money-laundering (AML) solutions. A significant challenge for banks is not only identifying AML transactions, but also sharing the resulting intelligence throughout the financial services ecosystem, effectively creating a network of financial crime fighters, while always respecting GDPR regulations. This presents a highly relevant opportunity for G+D, with the potential to combine Salv’s solution with G+D’s existing anti-fraud and authentication capabilities for the benefit of customers.
Yields operates in the field of model risk management, a top priority for banks under increased regulatory pressure. Its solution manages the entire inventory of models, tracking the data and creators of these models. Additionally, it enables the models to be tested and facilitates straightforward reporting of results to regulators. These models can encompass both AI-related and non-AI-related models, such as credit risk models. Yields and G+D both recognize the opportunity to offer this solution to G+D customers, potentially aiding Yields’s international market expansion. G+D is also exploring advanced applications of different AI models and could integrate Yields solutions into its own AI-related projects.
One of the reasons this technology is particularly interesting is because of the new European Union AI Act. As it comes into force, there will be a major requirement for robust model management and model testing.