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Grovf

Armenia
2017
Private
< $10m
< 10
Open website
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.
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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.
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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.
Technologies
Application Infrastructure & Middleware
Database Management & Storage
Middleware, SDKs & Libraries
Data Visualization
Cybersecurity & Privacy
Endpoint Security
Network Security
Processors & Edge Intelligence
System on a Chip
Analytics & Modeling
Big Data Analytics
Use Cases
Intrusion Detection Systems
Industries
Finance & Insurance
Retail
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.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
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