While modern sales tools have made it easier to reach large numbers of potential customers, the increasing use of automated and AI-generated communication has contributed to higher inbox volumes and reduced effectiveness of outbound efforts. Zynt focuses on identifying the timing and context behind purchasing decisions rather than simply expanding contact lists. Our platform rethinks how sales teams approach outreach.

Instead of asking only ‘who to contact,’ we focus on ‘when and why now.’ This lets companies move away from random, high-volume blasting and concentrate on leads that are genuinely close to a buying decision, said Cezary Raszel, CEO of Zynt. The platform aggregates and analyses data from sources including news, social media, job postings, press releases, and product launches. This data is processed through a multi-stage ELT pipeline using machine learning and natural language processing to identify relevant buying signals.

It provides users with contextual insights into prospects, including an assessment of whether the timing for engagement is appropriate. Zynt operates in a growing market for sales automation and intelligence tools, where increasing pressure on sales teams is driving demand for more effective, data-driven approaches. While many solutions continue to prioritise scale, Zynt focuses on the gap in understanding timing and intent.

The funding will be used to advance the platform, including enterprise readiness, deeper CRM integration, and enhanced signal detection capabilities. The company is also developing an event intelligence feature to help customers track industry events and identify potential engagement opportunities.