Felix Gonzalez, CEO and co-founder of FounderNest, discusses how the company’s AI platform helps enterprises systematically discover and evaluate emerging technologies, moving beyond manual, network-driven scouting. He discusses the pivot from founder-investor matching to enterprise innovation, real-time discovery at scale, a standout engagement with Telefónica, and how human-in-the-loop guardrails keep recommendations aligned to strategy.
What inspired you to create FounderNest, and how did you identify the need for a systematic approach to discovering emerging technologies?
“Back in 2009, during Spain’s economic crisis, I ran nonprofits focused on crowdfunding social impact projects and noticed a consistent challenge: founders struggled to find funding, while investors like VCs had difficulty sourcing quality deal flow. This disconnect inspired me to create FounderNest in 2018 as a platform to systematically connect founders with investors.
“Over time, we realised that large corporations faced an even bigger challenge in discovering and integrating emerging technologies systematically – that’s when we pivoted to focus on helping enterprises leverage AI to uncover innovation more effectively.”
How does FounderNest’s AI platform differ from traditional innovation scouting methods used by large corporations?
“Traditional scouting methods typically depend on manual research, personal networks, and static databases, which are often slow, limited, and biased. FounderNest combines AI technologies like natural language processing and machine learning with a massive proprietary dataset that tracks 10x more startups, including many unfunded ones that others miss.
“Our platform offers a natural language interface with prompt-based recommendations and explainability, making it fast, deeply relevant, and personalised to each client’s unique strategy. This AI-driven approach enables corporations to discover startups and technologies in real-time and at scale, surpassing the capabilities of legacy scouting tools.”
Can you describe a successful partnership between FounderNest and a Fortune 500 company, and what made it stand out?
“A standout example is our work with Telefónica, a Fortune 500 telecom giant serving nearly 400 million customers. Their Business Innovation team needed a faster, smarter way to identify market opportunities but was constrained by time, resources, and manual research.
“FounderNest’s AI-powered natural language search, granular filters, and Subspaces transformed their process, cutting days of manual work, surfacing only the most relevant companies, and enabling seamless collaboration without spreadsheets.
“Within a month, Telefónica was saving significant time, avoiding missed opportunities, and now plans to double the number of market opportunities they explore each year.”
What are the most common obstacles enterprises face when trying to integrate startup solutions at scale?
“Enterprises often struggle with organizational inertia and risk aversion, making it hard to scale pilots into full deployments. Other common obstacles include legacy IT infrastructure incompatibility, compliance and regulatory concerns, and a lack of a standardized process for evaluating startups beyond proof-of-concept. Many innovation teams also face internal resistance from stakeholders unfamiliar with startup cultures.
“At FounderNest, we address these by providing insights that help align startup fit with corporate strategy and by enabling clearer ROI metrics that build internal confidence for scaling.”
How do you ensure FounderNest’s AI recommendations remain unbiased and aligned with each client’s unique strategic goals?
“We combine advanced AI models with a human-in-the-loop process, incorporating continuous client feedback and oversight to mitigate biases. This hybrid approach ensures that recommendations are not just data-driven but also contextually relevant and aligned with what clients truly need, delivering personalized insights rather than generic search results.”
What criteria does your platform use to evaluate and rank startups and technologies from around the world?
“We use a multi-dimensional scoring framework that includes technology novelty, market potential, funding momentum, team expertise, and alignment with the client’s strategic objectives.
“Our AI aggregates real-time signals such as patent filings, news, financial data, and market traction. Unlike traditional platforms that focus mostly on financials or well-funded startups, we track a broader universe – including many unfunded companies – to surface hidden gems early.”
How has the demand for AI-driven decision-making in innovation scouting evolved over the past few years?
“Demand has skyrocketed, especially accelerated by COVID-driven shifts to virtual and remote innovation scouting. Corporations recognize that traditional gut-feel or network-based scouting can’t keep up with the speed and volume of innovation today.
“AI-driven platforms like FounderNest are now seen as essential tools to maintain competitive advantage, enabling faster, more accurate, and actionable insights that drive innovation outcomes at scale.”
What future trends do you see in corporate-startup collaboration, and how is FounderNest preparing to meet those needs?
“We expect deeper integration between AI scouting tools and collaboration platforms, enabling not only discovery but also ongoing co-creation and performance tracking between corporates and startups. Ecosystems will become more interconnected, with data sharing and virtual innovation hubs becoming standard.
“We’re investing heavily in evolving our platform to support these end-to-end innovation journeys and to deliver richer, real-time market intelligence that powers decision-making and strategic alignment.”
How do you measure the impact of FounderNest’s insights on a client’s innovation pipeline and overall business performance?
“We partner with clients to define clear KPIs upfront, such as the number of startups engaged, conversion rates from pilot to deployment, revenue or cost savings generated, and time-to-market improvements.
“Our clients can quantify how our insights accelerate innovation cycles and contribute to measurable business growth, risk reduction, and competitive positioning.”
