Data analysis

Nowadays data proves to be a powerful pushing force of the industry. Big companies representing diverse trade spheres seek to make use of the beneficial value of the data. Nowadays data science is a key point for retail industry. The main tasks in retail industry that require high performance data analytics are: Recommendation engines, Market basket analysis, Warranty analytics, Price optimization, Inventory management, Location of new stores, Customer sentiment analysis, Merchandising, Lifetime value prediction and Fraud detection. In all these task having supper efficient text processing units are necessary because the main data type that is being generated in retail industry are unstructured text data. Grovf offers it's text processor engines which is the fastest in the market allowing retail companies to achieve dozens of times faster speed when analizing unstructured text data while saving the TCO of datacenter 3 times less.


faster stream analytics

<1 ms



Less TCO

Security Log Analytics

Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative.

Cybersecurity brings dual challenge of low-latency detection and remediation of advanced threats, and batch analysis of log data from servers, firewalls, applications and security systems. Considering how fast new threats and attacks emerge, Big Data performance and the use of new types of software and hardware accelerators is becoming more critical.

Technology is essential to giving organizations and individuals the computer security tools needed to protect themselves from cyber attacks. Three main entities must be protected: endpoint devices like computers, smart devices, and routers; networks; and the cloud.

Grovf's text processing FPGA cores and Open source software SDK provide a effortless way to use powerful FPGA devices for vast amount of security log analysis.

FPGA's powered with Grovf's Regex, Exact Search and Similiarity Search functions provide to organizations to analize hundreds of megabytes of data in real-time and detect security alerts.