List of Datatron Platform Customers
San Francisco, 94107, CA,
United States
Since 2010, our global team of researchers has been studying Datatron Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Datatron Platform for MLOps Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Datatron Platform for MLOps Platforms include: Comcast, a United States based Communications organisation with 182000 employees and revenues of $123.73 billion, Domino's, a United States based Retail organisation with 10700 employees and revenues of $4.71 billion and many others.
Contact us if you need a completed and verified list of companies using Datatron Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Datatron Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Comcast | Communications | 182000 | $123.7B | United States | Datatron | Datatron Platform | MLOps Platforms | 2020 | n/a |
In 2020, Comcast implemented the Datatron Platform to centralize MLOps and model monitoring across business units. The initiative positioned the Datatron Platform as a common operational layer aligned with the MLOps Platforms category, concentrating on model health visibility and executive level governance.
Deployment focused on standard MLOps capabilities within Datatron Platform, including centralized model monitoring, health dashboards, automated alerting, and role based governance views to provide a single pane of glass for model observability. Configuration emphasized continuous monitoring of production models and consolidation of model telemetry to support operational oversight and incident response workflows.
This was a U.S. deployment covering production models across Comcast business units, bringing ML operations and AI governance into a unified operational scope rather than isolated project silos. Operational coverage targeted business functions that rely on production ML, enabling cross functional teams to access consistent model state and health indicators.
Governance and process changes centered on enabling executives to scale governance and observe model health from one interface, reducing manual effort in day to day model oversight. Vendor reporting attributes savings equivalent to several full time staff to the implementation, and the effort aimed to improve model reliability and operational efficiency across Comcast production models.
|
 |
Domino's | Retail | 10700 | $4.7B | United States | Datatron | Datatron Platform | MLOps Platforms | 2021 | n/a |
In 2021, Domino's deployed the Datatron Platform as a centralized MLOps Platforms solution to automate deployment, monitoring, and management of models supporting store operations and e-commerce. The Datatron Platform served as Domino's centralized AI model governance and modelops layer, consolidating model lifecycle functions for production analytics and online ordering workflows.
The implementation instrumented automated deployment pipelines, model management, production monitoring, and continuous drift monitoring for production models. Configuration emphasized pipeline orchestration and monitoring instrumentation to accelerate model deployment velocity by 10x, and to enable a higher volume of risk free deployments.
This U.S. implementation covered models that drive labor scheduling forecasts and delivery routing optimization, aligning MLOps Platforms capabilities with store operations and e-commerce business functions. Operational coverage focused on productionized forecasting and routing models that directly support store managers and delivery logistics teams.
Governance was centralized through the Datatron Platform, incorporating model versioning, monitoring policies, and lifecycle controls to standardize rollout and reduce operational risk. Outcomes explicitly reported include improved labor-scheduling forecasts, improved delivery routing optimization, continuous drift monitoring for production models, accelerated deployment velocity by 10x, and an increase in risk free deployments.
|
Buyer Intent: Companies Evaluating Datatron Platform
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||