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Top 7 IoT Edge Platforms Companies With $10M–$100M Revenue (August 2026)

As of August 2026, Latka tracks 7 IoT edge platforms companies with $10M–$100M in annual revenue. They have combined revenues of $218.6M and employ 921 people. They have raised $25.4M.

Every company below sells IoT edge platforms to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What IoT Edge Platforms Companies do

IoT Edge Platforms refer to a computing architecture designed to enable data processing and analysis closer to the source of data generation, particularly in Internet of Things (IoT) environments. These platforms facilitate real-time data processing, which is vital for applications requiring low latency, such as industrial automation, smart cities, and connected vehicles. By processing data at the edge, organizations can optimize bandwidth usage, reduce latency, and enhance responsiveness in critical applications.

Companies
7
Revenue
$218.6M
Funding
$25.4M
Employees
921

Filters

Sorting: Highest -> Lowest

Filters

Top IoT Edge Platforms Companies With $10M–$100M Revenue

Showing 7 of 7 companies ranked by annual revenue.

1Armada logo
Armada

San Francisco, California, United States

Armada specializes in solving complex challenges for industries operating in remote locations. By integrating connectivity, advanced compute, and real-world AI, we are pioneering edge computing and AI solutions that stand to change industries across the globe.

Revenue
$83.2M
Year founded
2022
Team size
368
2Syntiant Corp logo
Syntiant Corp

Irvine, California, United States

Syntiant is a leader in edge-AI deployments, bringing deep-learning to any device with industry-leading Neural Decision Processors and hardware-agnostic machine learning models.

Revenue
$62.7M
Year founded
2017
Team size
251
3Sentics logo
Sentics

Wolfsburg, Lower Saxony, Germany

Developer of optical AI infrastructure sensor system designed to analyze the work environment in real time and warn employees of impending collisions.

Revenue
$22.4M
Year founded
2022
Team size
56
4MemryX logo
MemryX

Ann Arbor, Michigan, United States

MemryX Inc. is a fabless semiconductor company pioneering AI processing solutions for edge devices. Powered by proprietary compute-at-memory technology, MemryX accelerators combine high performance and low power to enable efficient, scalable AI for industries including IoT, transportation, and industrial automation.

Revenue
$17.5M
Year founded
2019
Team size
48
5meldCX logo
meldCX

Richmond, Victoria, Australia

meldCX’s mission is to empower businesses and individuals to create premier customer experiences through AI and intelligent edge technologies. Market leaders need applications that make customer and employee experiences more interesting and fulfilling — meldCX technology delivers the building blocks for their success. Our PaaS solution, the meldCX Core Platform, is an enterprise platform that allows organizations to build or re-use, deploy, and manage commercial applications for commercial devices. Our SaaS solution, Viana™ (short for Vision Analytics) allows you to consume machine vision, artificial intelligence data without the need for developers. Anonymously measure how people work, shop, learn and play in physical and digital spaces. Tell meaningful data stories about your customers, and empower your teams to make insightful and data-driven business decisions. meldCX is headquartered in Melbourne, Australia, with teams in Sydney, Philippines, Bangladesh, USA, and UK (EMEA).

Revenue
$11.4M
Year founded
2017
Team size
104
6Swim.ai logo
Swim.ai

Campbell, California, United States

Developer of data processing and edge analytics software designed to deliver powerful real-time business and operational insights. The company's software uses machine learning and edge computing to process streaming data as it is generated in real-time at the edge without needing a message broker or central databases. Software combines and analyses data sources, builds a digital twin model or each source and finds critical events, anomalies and correlations in order to reduce data volumes, enabling businesses and governments to reduce, analyze, learn and predict from 'gray' edge data.

Revenue
$10.7M
Year founded
2015
Funding
$25.4M
Team size
36
7Neeve logo
Neeve

San Francisco, California, United States

Neeve is an edge cloud platform transforming smart buildings and spaces, making them more secure, smarter, and more sustainable. It provides cybersecurity, secure remote and cloud access, edge compute, applications, and cloud management for intelligent buildings.

Revenue
$10.6M
Year founded
2024
Team size
58

Frequently asked questions about IoT Edge Platforms Companies With $10M–$100M Revenue

How many IoT edge platforms companies with $10M–$100M in annual revenue are there?

Latka tracks 7 IoT edge platforms companies with $10M–$100M in annual revenue. Together they generate $218.6M in annual revenue and employ 921 people.

Which IoT edge platforms company with $10M–$100M in annual revenue is the largest?

Armada is the largest, with $83.2M in annual revenue, founded in 2022.

How much revenue does a typical IoT edge platforms company with $10M–$100M in annual revenue make?

The average IoT edge platforms company in this list makes $31.2M a year, across 7 companies with reported revenue.

Who are the leading IoT Edge platforms vendors with $10M–$100M in annual revenue?

Ranked by annual revenue, the leaders are Armada, Syntiant Corp, Sentics, MemryX and meldCX.

How much funding have IoT edge platforms companies with $10M–$100M in annual revenue raised?

The 7 IoT edge platforms companies with $10M–$100M in annual revenue tracked here have raised $25.4M in disclosed funding between them.

Related IoT Management Platforms categories

Inclusion Criteria

- Must enable real-time data processing at or near the source of data generation. - Should support a range of IoT devices and protocols for seamless integration. - Must provide analytics capabilities to generate insights from collected data. - Should include features for remote device management and monitoring. - Not just basic connectivity; must also enable sophisticated data processing and management workflows. - Must ensure security and privacy of data both in transit and at rest. - Should have scalability to accommodate growing numbers of IoT devices and data traffic.