List of Zeet Customers
San Francisco, 94123, CA,
United States
Since 2010, our global team of researchers has been studying Zeet 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 Zeet for Infrastructure as Code (IaC) 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 Zeet for Infrastructure as Code (IaC) include: CM Group, a United States based Professional Services organisation with 1200 employees and revenues of $250.0 million, Banana, a United States based Professional Services organisation with 160 employees and revenues of $30.0 million, LiveKit, a United States based Professional Services organisation with 30 employees and revenues of $3.0 million, Tarteel AI, a United States based Professional Services organisation with 13 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Zeet, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Banana | Professional Services | 160 | $30M | United States | Zeet Co | Zeet | Infrastructure as Code (IaC) | 2021 | n/a |
In 2021, Banana implemented Zeet to manage GPU-backed multi-cloud ML/AI model serving infrastructure. Banana implemented Zeet, the Infrastructure as Code (IaC) application, to deploy and operate production inference workloads across AWS and GCP.
Zeet blueprints and multi-cloud Infrastructure as Code (IaC) templates were configured to provision GPU instance types, containerized model deployments, and autoscaling policies for inference services. The deployment centralized orchestration, environment provisioning, and automated scaling, enabling repeatable rollout pipelines and runtime autoscaling for production model containers.
Integrations targeted AWS and GCP as direct deployment platforms, operating model serving infrastructure across both cloud providers and reducing cross-cloud provisioning friction. Operational scope focused on production inference and model serving operations, with governance shifting to blueprint-driven runbooks and automated IaC workflows, and Banana reporting increased deployment frequency and reduced operations overhead in the United States.
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CM Group | Professional Services | 1200 | $250M | United States | Zeet Co | Zeet | Infrastructure as Code (IaC) | 2023 | n/a |
In 2023, CM Group implemented Zeet as its Infrastructure as Code (IaC) platform to manage SaaS hosting and deployment automation. The implementation was an engineering and DevOps initiative in the United States focused on centralizing cloud resource management and standardizing deployment workflows for CM Group's engineering teams.
Zeet was configured to provision and scale environments, orchestrate automated deployments, and manage cloud resource lifecycles, leveraging Infrastructure as Code (IaC) capabilities such as templated provisioning, environment scaling, and automated deployment pipelines. Configuration templating and deployment orchestration were used to reduce manual provisioning and enable repeatable environment builds across development, staging, and production.
Operational coverage centered on CM Group's engineering and DevOps functions supporting SaaS hosting in the United States, with Zeet used to scale environments up and down and streamline deployments. According to the vendor testimonial, the Zeet implementation produced faster deployments, simpler cloud operations, and improved operational efficiency for CM Group's engineering teams.
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LiveKit | Professional Services | 30 | $3M | United States | Zeet Co | Zeet | Infrastructure as Code (IaC) | 2023 | n/a |
In 2023, LiveKit implemented Zeet to manage multi-cloud Kubernetes clusters using Infrastructure as Code (IaC), centralizing cluster lifecycle and deployment orchestration for its real time audio and video platform. The Zeet deployment supports more than 30 clusters across four clouds and enabled a 300% increase in deployment frequency, while serving Infrastructure and DevOps functions that deliver low latency global live audio and video services in the United States.
Zeet is used with Terraform and Kubernetes Helm blueprint aligned workflows to codify environment provisioning, cluster configuration, and repeatable application rollout. The implementation emphasizes automated cluster provisioning, centralized IaC pipelines, and deployment orchestration for DevOps teams, reducing infrastructure headcount and accelerating time to MVP in the United States.
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Tarteel AI | Professional Services | 13 | $1M | United States | Zeet Co | Zeet | Infrastructure as Code (IaC) | 2023 | n/a |
In 2023, Tarteel AI used Zeet to migrate its ML inference infrastructure to CoreWeave for its Automatic Speech Recognition workload. The engagement is classified as Infrastructure as Code (IaC) and targeted US-based production inference that supports millions of users.
Zeet served as the Infrastructure as Code (IaC) platform to provision GPU clusters and standardize deployment patterns, leveraging Zeet IaC blueprints to automate GPU cluster provisioning and environment configuration. Implementation work focused on GPU-backed model serving, cluster provisioning, orchestration of containerized inference workloads, and automated deployment pipelines to reduce manual provisioning effort.
Integrations centered on Zeet orchestrating CoreWeave compute capacity and Kubernetes for containerized model serving, with operational ownership placed in ML engineering and platform teams responsible for production inference. The US-based migration timeline reported in Zeet case material was one to two days for the rollout tasks that Zeet automated, reflecting rapid reprovisioning enabled by the blueprints.
Tarteel AI documented an approximate 22 percent median latency improvement and about 56 percent cost reduction after moving inference to CoreWeave via Zeet while continuing to support millions of users. The combination of Zeet and CoreWeave consolidated inference operations into an IaC-driven workflow, enabling repeatable GPU cluster provisioning and automated lifecycle management for production ML serving.
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