Suppliers > Armenia > Grovf


Grovf Logo
HQ Location
Year Founded
Company Type
< $10m
< 10
Company Description
Grovf is an engineering company aimed to develop hardware and software products to assist Industrial Internet of Things (IIoT) and Big Data problems.
Here at Grovf we help our industrial customers to solve IoT generated Big Data storage problems using hardware (FPGA) implementation of DB functionality in order to close the gap between IoT generated data throughput and software database transaction speed, resulting 20x faster transactions and power saving.
IoT Solutions
The FPGA - Accelerated Time Series Database is a dedicated hardware for IoT data storage. Smart Sensors data pass directly into FPGA from Ethernet adapter bypassing any type of operating systems and software layers. All data processing takes place under FPGA on fly and streams into SSD for storage.

Artificial Intelligence algorithms are used to continuously evaluate interconnections between channels, classify and predict data. Device provides general functionality of software enabled time series database systems while implemented on hardware layer. FPGA’s native parallel feature is heavily used to achieve the data throughput in order of magnitude greater then all available software enabled time series database systems can offer.
IoT Snapshot
Grovf is a provider of Industrial IoT application infrastructure and middleware, analytics and modeling, cybersecurity and privacy, and processors and edge intelligence technologies, and also active in the finance and insurance, and retail industries.
Technology Stack
Grovf’s Technology Stack maps Grovf’s participation in the application infrastructure and middleware, analytics and modeling, cybersecurity and privacy, and processors and edge intelligence IoT Technology stack.
  • Devices Layer
  • Robots
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:

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