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Regno VWR Logo

"Unlock the Power of

Real-Time Data Exploration with
Regno VWR: Where Insight Meets Innovation."

Regno VWR Screenshot

Who We Are

At Regno, we believe that users should have full autonomy over the data they create.

This belief motivated us to focus on developing a solution that would address just that. A common open data format to create, transmit and store data and a flexible infrastructure to manage and visualise their data

We then went on to create the Regno Standard, the Regno Cloud Data Platform and the Regno VWR, a combination of structures, microservices and web telemetry viewer that now leads the market in open flexible high-speed data acquisition, streaming processing and visualisation. We believe that our solution is the right fit for users of high-volume time series data that need to view data across the globe with minimal latency

 

Our unwavering commitment is to equip and support you to have full control and flexibility over your data."

John Yeboah, CEO Regno

How We Do It

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Regno Standard

Structured Data

Free, open data standard that provides clear guidelines and structure for generating, distributing, and storing data.

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REST API

Fast Data Searching

Query sample and meta data across the data pools using our REST API's

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Regno VWR

Structured Data

Web-based data telemetry viewer that enables users to obtain, display, and analyse data from diverse sources

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AI/ML Compatible

Future Focused

Machine learning and AI ready, with datatypes to store vector data and integrate smoothly with any machine learning platform

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Data Pool

Single Data Store

Distributed managed data storage replicated across geo locations for optimal flexibility and access

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Cloud

Cloud Based Power

Our micro-service based platform runs on AWS but is cloud-agnostic, running in a Kubernetes cluster.

Technologis

Integrations & Collaborations

Microsoft Azure
AWS
JSON
Kubernetes
Wintax
Matlab
Pi Toolbox
google cloud
Kafka
RabbitMq
Docker
fia
Regno Standard
Formula 1
mongo db
denseair
software as a service
reed mobility
haasf1 team
streetdrone
relativity
microsoft
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