Nubix

Overview
Edge Computing?
Product stageSegments
Minimum Viable Product
?
Edge application and other software, Edge IoT and analytics software
?

Nubix offers software that enables internet of things (IoT) and edge applications by allowing developers to process data at the source (sensor devices). It achieves this by addressing the rigidity and riskiness of updating microcontrollers (MCUs) through a real-time operating system (RTOS) container and services solution for MCUs. The RTOS containers bring the focus on building functionality and increase the flexibility of the applications.

Nubix raised USD 2.7 million in seed funding in December 2020, which it intends to invest in expanding its engineering efforts.

HQ location:
1624 Market St Denver CO USA
Founded year:
2017
Employees:
11-50
IPO status:
Private
Total funding:
USD 4.5 mn
Last Funding:
USD 2.7 mn (Seed; Dec 2020)
Last valuation:
-
Key competitors
Filter by the segments to which the disruptor belongs
All Segmentsexpand
 
Loading...
Loading...
Loading...
Loading...
Product Overview
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
Product Metrics
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
Company profile
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
-
Loading...
Loading...
Loading...
Loading...
Funding data are powered by Crunchbase
arrow
menuarrow
Click here to learn more
Get a demo

By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.