An Amsterdam-based company, Rembrandt—recently rebranded from Cocraft—has attracted €330,000 from angel investors interested in artificial intelligence-driven revenue intelligence systems. The firm’s strategic funding bid supports its efforts to streamline sales prospecting through actionable public data insights. Fresh perspectives and new team members are expected to contribute additional expertise beyond the initial funding phase.
Recent publications note similar funding rounds for AI-native startups, while some reports emphasize market dynamics and competitive pressures faced by revenue intelligence platforms. Additional sources have described how European startups leverage emerging machine learning capabilities; the details align with Rembrandt’s emphasis on improving signal extraction from public data without replicating traditional CRM approaches.
What are the key investment details?
The startup secured €330,000 from three experienced angel investors, two of whom bring extensive machine learning and AI proficiency, and one with a strong background in SaaS sales. These funds will support core team expansion in engineering, product development, and customer success, in parallel with enlarging the customer base and optimizing product functionalities.
How will Rembrandt expand its product capabilities?
The company plans to integrate additional data sources such as tender platforms, GitHub repositories, and paywalled industry media. It intends to introduce new types of AI agents, including Market Intelligence Agents and Competitor Tracking Agents, that aim to provide strategic insights by monitoring live, public signals.
Founders Vincent Wijdeveld and Bob van Ratingen established Rembrandt after confronting inefficiencies in traditional lead identification.
“The idea came from frustration. We both experienced how much time gets wasted in sales chasing leads that aren’t ready to buy,”
Vincent remarked, highlighting the company’s origin rooted in addressing overlooked opportunities.
The platform continually observes public data, including job postings, leadership changes, and industry-specific events, to deliver real-time signals. These signals are verified, timestamped, and contextualized, offering a detailed view of market momentum without relying on conventional intent tags or recycled data.
Early adoption of Rembrandt’s solution is evident among 68 companies, including enterprise users like Deel.com.
“Sales teams with access to relevant, actionable, and timely information about prospective customers win more deals. Rembrandt’s AI-first approach to sales intelligence has huge potential, as it allows us to get insights from datasets previously impossible to ingest,”
stated Benjamin Cohen, Director of Data GTM at Deel.com.
The roadmap includes broadening data sources beyond current platforms and enhancing the tool’s forecasting capabilities. Future developments will focus on monitoring competitor strategies, which will support commercial teams in refining go-to-market tactics based on live market signals.
Careful comparisons of funding and product direction across similar ventures reveal that Rembrandt’s strategy is grounded in data integrity and real-time market observation. Stakeholders and potential users may benefit from understanding these elements as they assess the effectiveness of AI-powered sales intelligence tools in competitive landscapes.
