EVAM Streaming Analytics
Unleash the value of real time streaming data with an application platform, that business, technology and data professionals love.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | $10.0m | Growth Equity VC | |
| Total Funding | 000k | ||
Related Content
EVAM Streaming Analytics, founded in 2015 by Can Alhas, provides a real-time streaming analytics and customer engagement platform. The company was established with the idea of changing how businesses interact with their customers and has since become a global player in event-driven architecture. In a significant milestone, CEECAT Capital acquired a majority stake in the company in late 2021 to support its next growth phase and enhance its global market position.
The firm operates on a B2B model, primarily serving large enterprises in the financial services, telecommunications, retail, and travel sectors. Its client roster includes prominent names like Vodafone, T-Mobile, ING Bank, and Banca Transilvania. Revenue is generated through its platform offerings, which enable clients to process billions of daily events to improve customer retention, increase revenue, and detect fraud. With an annual revenue reported at $15 million as of July 2025, the company has a significant international footprint, with over half of its revenues coming from clients in Europe, the Americas, and the CIS region.
EVAM’s core offering is its Continuous Intelligence Platform, which unifies several products for processing, analyzing, and acting on real-time data streams. A key component, the Evam Marketing Hub, functions as an omnichannel marketing solution that allows businesses to design and orchestrate customer journeys visually. The platform uses machine learning and AI to predict customer behavior and trigger the next best action in milliseconds across more than 20 channels, including digital touchpoints and legacy systems like ATMs and call centers. This enables clients to deliver hyper-personalized offers and messages. For instance, Turkcell processes 1.8 billion events daily to deliver personalized offers, while Garanti BBVA utilized the platform to accelerate its time-to-market for new campaigns to just six weeks.
Keywords: streaming analytics, customer engagement, real-time data, event processing, marketing automation, journey orchestration, big data, fraud detection, CEM, personalization