[Exclusive] Amsterdam AI startup Rembrandt bags funding: Co-founder Vincent Wijdeveld on building the ‘crystal ball’ for revenue teams

Amsterdam-based Rembrandt (formerly Cocraft), an AI-powered revenue intelligence platform, has secured €330,000 in funding.

The funding comes from three seasoned angel investors—two with deep expertise in machine learning and AI and one with a proven track record in SaaS sales.

The investment announcement comes a week after rebranding its name from Cocraft to Rembrandt to reflect its mission of bringing clarity to the already complicated revenue intelligence. 

Fund utilisation

The company will use this investment to grow its core team across engineering, product, and customer success while also scaling its customer base and accelerating product development.

On the product side, the company is planning to expand its data sources by incorporating tender platforms, GitHub repositories, and paywalled industry media.

Additionally, the company plans to introduce new agent types, such as Market Intelligence Agents and Competitor Tracking Agents, to enhance strategic forecasting.

The birth of Rembrandt: Solving sales inefficiencies

Rembrandt was founded by childhood friends Vincent Wijdeveld and Bob van Ratingen.

“The idea came from frustration,” says Vincent to Silicon Canals. “We both experienced how much time gets wasted in sales chasing leads that aren’t ready to buy. We’d see talented reps burn through perfect-looking accounts based on outdated lists or gut feel, while real opportunities were missed because the signals were invisible.”

At that point, the duo asked themselves: “What if we could detect real buying intent before it appears in a CRM?”

“That was the seed. But Rembrandt quickly evolved beyond lead discovery. Today, we help revenue teams understand where each of their key accounts sits in the buying journey — based on live, verifiable, public data. Not “intent tags.” Not recycled cookie data. Actual signals that tell you who to talk to, why now, and what to say,” adds Vincent.

Rembrandt simplified

“Rembrandt tells you which companies are ready to buy — and why,” explains Vincent.

The platform uses AI agents to provide clear, real-time insights into leads, prospects, and customers.

The company does this by monitoring public data 24/7, including job posts, leadership changes, podcast quotes, product launches, and press coverage, and turns that into two things: 

• Net-new leads showing real buying intent
• Live tracking of named prospects and customers over time

As a result, the platform enables sales and customer success teams to spot:

• Which accounts are gaining interest  
• What strategic shift is happening
• How to time your message with precision

“It’s not enrichment. It’s not another contact list. It’s a live picture of your market, evolving in real-time,” he states.

Public, timestamped, and traceable

“Most tools claim to detect intent, but they rely on vague third-party data—such as ad clicks or whitepaper downloads—which aren’t true buying signals,” Vincent explains.

However, he says that Rembrandt’s signals are public, timestamped, and traceable. It includes a range of indicators, such as job postings, leadership hires, podcast quotes, and market expansions.

“We don’t just deliver them as isolated alerts. We track signals over time, giving users a timeline of momentum, so they can identify which accounts are building urgency and which ones aren’t moving,” he explains.

To ensure the quality and relevance of these sources, the company applies strict filtering criteria:

• Verifiability: Every signal is tied to a source
• Context: It’s not just what changed; it’s why it matters
• Relevance: Signals are prioritised based on industry, company type, and user focus

“This isn’t scraping noise. It’s structured signal extraction designed to power commercial decision-making,” affirms Vincent.

Currently, in a pilot phase, Rembrandt is already used by 68 companies, including enterprise players like Deel.com. It helps teams reduce guesswork by allowing them to act based on real-time intent.

According to the company’s claims, the early adopters are reporting faster outbound conversion, less wasted effort, and more deal momentum.

Benjamin Cohen, Director of Data GTM at Deel.com, says, “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.”

Roadmap: What’s next for Rembrandt?

Moving forward, the Amsterdam-based company is planning to broaden its reach by utilising tender platforms, GitHub, and gated industry sources. This will provide their users with deeper insights into the changes occurring in their target accounts.

Secondly, the Dutch startup aims to enable teams to forecast strategically rather than just react to tactical situations, using real-world momentum within their target segments.

Additionally, the company will enable users to monitor their competitors’ actions, such as hiring trends, shifts in messaging, and expansion into new regions, allowing them to adjust their go-to-market strategies accordingly.

“Rembrandt will become the core intelligence layer for commercial teams — where sales, marketing, success, and product all align around the same live market signals,” adds Vincent.

The Future: A ‘Crystal Ball’ for Revenue Teams

“We see Rembrandt becoming the crystal ball for revenue teams,” states Vincent. “As we continue to add data sources — and as our users track not just who’s ready to buy, but also their key prospects and clients over time — Rembrandt becomes a lens into the full buying journey.”

By continuously tracking all relevant signals across the entire prospect and customer base, true intelligence opportunities are unlocked—not just for revenue but across your business.

Powered by revenue intelligence, clients can answer questions like:

• “What pain points are most common among our current clients versus our prospects?”
• “Which market segments are most aligned with our new product, based on live public signals?”
• “Is our product roadmap aligned with our prospects’ and customers’ strategic priorities?”

“In short, Rembrandt transforms public data into a competitive advantage—not for spamming, but for smarter decision-making and faster deal closures,” he concludes.