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Grovf

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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  • SNAPSHOT
  • Armenia
    2017
    Private
    < $10m
    < 10
    Open website
  • TECHNOLOGY STACK
  • Grovf’s Tech Stack maps Grovf’s participation in the IoT tech 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
  • IOT SNAPSHOT
  • Grovf’s IoT Snapshot maps the range and focus areas of Grovf’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.
    Technologies
    Application Infrastructure & Middleware
    Data Visualization
    Database Management & Storage
    Middleware, SDKs & Libraries
    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
  • 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.
  • KEY CUSTOMERS
  • CASE STUDIES
  • HARDWARE
  • SOFTWARE
  • PODCASTS
  • MEMBERSHIP
  • INDUSTRIES
  • FUNCTIONS
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  • PARTNERS
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