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Quvia Tech Stack

AI-powered network orchestration for remote connectivity across aviation, maritime, and energy

Technology, Information and Internet Miramar, Florida 201–500 employees Founded 2019 Privately Held
quvia.ai LinkedIn

Quvia operates a vendor-neutral platform that monitors and optimizes connectivity across satellite, terrestrial, and multi-provider networks in edge environments—ships, aircraft, offshore energy sites. The tech stack (Wireshark, SNMP, BGP, OSPF, SD-WAN) reflects deep networking domain expertise. Hiring velocity is accelerating across engineering and sales, with active projects split between core platform capability (next-gen connectivity layer, satellite-terrestrial hybrid solutions) and go-to-market execution (ABM campaigns, enterprise acquisition)—indicating scaling into larger verticals alongside product maturation.

Tech Stack 54 technologies

Core StackLinkedIn Ads Google Ads HubSpot Figma Storybook Python VMware Selenium Java Spring Angular Wireshark SNMP VMware ESXi KVM SD-WAN Spirent BGP OSPF Perl C/C++ Open vSwitch VirtualBox Rest Assured Cucumber TestNG JMeter qTest Zephyr Struts+24 more

What Quvia Is Building

◆Challenges

  • Reliable data movement
  • Variable connectivity
  • Network constrained environments
  • Scaling digital marketing programs
  • Complex b2b buying journeys
  • Acquiring new enterprise customers
  • Complexities of large enterprise customers
  • Maintaining robust sales pipeline
  • Complex network issues
  • Satellite terrestrial hybrid connectivity

▲Active Projects

  • Website conversion optimization
  • Nextgen connectivity platform
  • Digital marketing strategy across channels
  • Account-based paid media campaigns
  • Next generation product implementation
  • Maritime bu deployments
  • Drydock deployments
  • Paid media and account-based programs
  • Next generation products
  • Satellite communication solution design

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Engineering
9
Sales
6
Marketing
5
Support
2
Design
1

Seniority

Director
6
Mid
6
Manager
4
Senior
4
Junior
2
Principal
1

Notable leadership hires: Sales Director

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About Quvia

Quvia builds an AI-powered QoE (quality of experience) platform designed for operators in aviation, maritime, energy, and cruise industries where connectivity is fragmented and remote. The product continuously measures and analyzes real-time network performance across mixed connectivity sources—satellites, terrestrial providers, multiple orbits—and automatically orchestrates traffic to maintain service quality in network-constrained environments. Founded in 2019, the company operates 201–500 people across engineering, sales, marketing, and support, with hiring activity across India, the United States, Spain, Southeast Asia, and the United Kingdom. Pain-point focus areas include reliable data movement across variable connectivity and complexity in managing large enterprise customer environments.

HeadquartersMiramar, Florida
Company Size201–500 employees
Founded2019
Hiring MarketsIndia, United States, Spain, Singapore, Malaysia, United Kingdom

Frequently Asked Questions

What tech stack does Quvia use?

Quvia's core stack includes Wireshark, SNMP, SD-WAN, BGP, and OSPF for network monitoring and orchestration; Python, Java, and C/C++ for backend development; Angular for frontend; and Spirent, Selenium, JMeter for testing and load validation.

What is Quvia working on?

Quvia is executing on next-generation connectivity platform capabilities (satellite-terrestrial hybrid solutions, maritime and drydock deployments) while scaling go-to-market through account-based paid media and enterprise customer acquisition efforts.

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How this profile is built

Quvia's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.