Apps Run The World Apps Purchases

Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	VAR/SI	Insight Source
Astute Inc	Professional services	7	$1M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a	In 2016, Astute Inc implemented Microsoft Azure Machine Learning as part of a standardization across Microsoft offerings. Astute Inc implemented Microsoft Azure Machine Learning within its ML and Data Science Platforms strategy to support clinical analytics, internal operations, and product engineering for its patient monitoring business. The implementation emphasized core ML and Data Science Platforms workflows, including model development and experiment tracking, automated training pipelines, and staged deployment for scoring and inference. Microsoft Azure Machine Learning was configured to host development notebooks, orchestrate training jobs, and package models into deployment pipelines that promote repeatable model lifecycle practices. Integrations were aligned with the broader Microsoft stack that Astute standardized on, ingesting device and clinical telemetry into Azure services and surfacing model outputs into Power BI dashboards for care teams. Windows device management provided the endpoint layer for device data collection at visiting nurse organizations and assisted care facilities, while Skype supported cross functional collaboration between clinicians and engineering teams. Governance and operational rollout centralized model lifecycle controls and standardized access, experiment versioning, and deployment workflows across the company and its care provider customers. The Microsoft Azure Machine Learning implementation contributed to transformed internal operations and sustained innovation for Astute Inc and its partner care providers.
Unikey	Professional services	40	$4M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a
	Professional services	20	$4M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2016	n/a
	Professional Services	7000	$3.7B	South Korea	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2017	n/a
	Professional Services	100	$10M	Australia	Microsoft	Microsoft SQL Server 2017 Machine Learning Services	ML and Data Science Platforms	2015	n/a
	Professional Services	20	$2M	Greece	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2015	n/a
	Professional Services	5000	$173M	New Zealand	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2015	n/a
	Professional Services	5	$1M	United Kingdom	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2015	n/a
	Professional Services	10	$1M	United Kingdom	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2015	n/a
	Professional Services	20	$5M	United States	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2015	n/a

Logo

Customer

Industry

Empl.

Revenue

Country

Vendor

Application

Category

When

VAR/SI

Insight

Insight Source

Astute Inc

Professional services

$1M

United States

Microsoft

Microsoft Azure Machine Learning

ML and Data Science Platforms

2016

n/a

In 2016, Astute Inc implemented Microsoft Azure Machine Learning as part of a standardization across Microsoft offerings. Astute Inc implemented Microsoft Azure Machine Learning within its ML and Data Science Platforms strategy to support clinical analytics, internal operations, and product engineering for its patient monitoring business. The implementation emphasized core ML and Data Science Platforms workflows, including model development and experiment tracking, automated training pipelines, and staged deployment for scoring and inference. Microsoft Azure Machine Learning was configured to host development notebooks, orchestrate training jobs, and package models into deployment pipelines that promote repeatable model lifecycle practices. Integrations were aligned with the broader Microsoft stack that Astute standardized on, ingesting device and clinical telemetry into Azure services and surfacing model outputs into Power BI dashboards for care teams. Windows device management provided the endpoint layer for device data collection at visiting nurse organizations and assisted care facilities, while Skype supported cross functional collaboration between clinicians and engineering teams. Governance and operational rollout centralized model lifecycle controls and standardized access, experiment versioning, and deployment workflows across the company and its care provider customers. The Microsoft Azure Machine Learning implementation contributed to transformed internal operations and sustained innovation for Astute Inc and its partner care providers.