Warsaw startup Zynt raises €424.4k to refine B2B sales timing signals
Zynt, a Warsaw-based startup, closed a €424.4k pre-Seed round from Poland's 24Ventures and angel investors to develop AI tools that help sales teams identify when prospects are ready to buy.
The platform aggregates signals from news outlets, social media, job postings, and business registries to pinpoint buying moments rather than just generating lead lists. Co-founders Cezary Raszel and Wojciech Ozimek built the company on a specific insight: top sales teams don't work with the largest contact databases. They work with smaller, carefully vetted pools and focus on timing.
The problem Zynt targets
Sales outreach tools like Apollo.io made mass prospecting easy. Then AI made personalized emails simple to produce at scale. The result: inboxes filled with noise and declining B2B outreach effectiveness.
Raszel and Ozimek conducted nearly 1,200 conversations with sales professionals to test their approach. They found that the real gap wasn't identifying who to contact-existing tools handle that. The missing piece was understanding why now is the right moment to reach out.
How the platform works
Zynt's system processes data through machine learning and natural language processing to learn which signals matter within a specific sales pipeline. Over time, it learns what actually drives buying decisions in a customer's market.
Users get more than prospect lists. They receive context about whether timing is right and why-information they can use to adjust their outreach strategy.
What's next
The funding will support enterprise product readiness, deeper CRM integration, and more sophisticated buying signal detection. The team is building an event intelligence feature to track industry events and predict where target prospects will appear.
Zynt currently serves mostly Polish companies with global operations. The platform supports multiple languages. The company is preparing for the next funding round and plans to accelerate entry into the U.S. market.
For sales professionals looking to improve prospecting efficiency, understanding how AI for Sales tools work-and their limitations-matters. The AI Learning Path for Sales Representatives covers practical applications of signal-based prospecting and timing optimization.
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