List of Oddity NeoWize Customers
Tel Aviv, 6761304,
Israel
Since 2010, our global team of researchers has been studying Oddity NeoWize 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 Oddity NeoWize for ML and Data Science 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 Oddity NeoWize for ML and Data Science Platforms include: L*Space, a United States based Retail organisation with 50 employees and revenues of $25.0 million, Ian Snow, a United Kingdom based Retail organisation with 50 employees and revenues of $20.0 million, Renegadefolk Company, a Philippines based Retail organisation with 14 employees and revenues of $4.0 million, Kuykendall'S Press, a United States based Media organisation with 10 employees and revenues of $2.0 million, Waves Package Store, a United States based Retail organisation with 10 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Oddity NeoWize, 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 Oddity NeoWize 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Anthony Martini | Professional Services | 10 | $2M | United States | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2021 | n/a |
In 2021, Anthony Martini deployed Oddity NeoWize on its public website as an ML and Data Science Platforms implementation to support client engagement and on-site personalization. The deployment uses Oddity NeoWize to instrument visitor interactions and surface model-driven content recommendations, combining event capture and inference workflows typical of ML and Data Science Platforms for small professional services firms.
The implementation is a web-embedded configuration that centralizes data capture in the website layer and routes signals to the Oddity NeoWize application for model inference and analytics. Operational scope is focused on marketing and client-facing functions within the company, with configuration and rollout managed by site administrators and leadership, and with iterative model tuning and experiment control conducted through the platform's standard model lifecycle and scoring capabilities.
|
|
|
Bastion | Retail | 10 | $1M | United States | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2016 | n/a |
In 2016, Bastion implemented Oddity NeoWize on its public website. Bastion, a small United States retail company with roughly 10 employees, deployed Oddity NeoWize as an ML and Data Science Platforms solution to enable on-site model inference and real time personalization tied to customer interactions.
The implementation centers on hosted model serving and API based inference embedded in the storefront, ingesting web event streams and lightweight feature pipelines for merchandising and engagement use cases. Functional capabilities implemented include model hosting and versioning, online inference endpoints, model management and A B testing, telemetry and monitoring, and lightweight data pipeline orchestration consistent with ML and Data Science Platforms. Governance is organized around a small centralized operations ownership for model lifecycle control, staged model promotion and runtime monitoring tied to the website integration.
|
|
|
Bula Kava House | Leisure and Hospitality | 20 | $2M | United States | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2018 | n/a |
In 2018, Bula Kava House deployed Oddity NeoWize on its website. The deployment used the ML and Data Science Platforms capabilities of Oddity NeoWize to capture site interaction data and to drive customer-facing behaviors on the public site.
Implementation focused on embedding Oddity NeoWize inference and data collection into the website, with model inference delivered via hosted endpoints and event instrumentation capturing clicks and session signals for feature extraction. Functional modules implemented include model inference, data ingestion and feature processing, and operational model monitoring, reflecting standard ML and Data Science Platforms workflows.
Operational coverage is limited to the company website and supporting marketing and customer engagement activities, with configuration and model refreshes managed through NeoWize tooling. Bula Kava House Oddity NeoWize ML and Data Science Platforms relationship supports website personalization and analytics workflows and centralizes model-driven decisioning for online customer interactions.
|
|
|
Cv. Master Pratama Sekurindo | Professional Services | 10 | $2M | Indonesia | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2021 | n/a |
In 2021, Cv. Master Pratama Sekurindo deployed Oddity NeoWize on its public website as a hosted instance of an ML and Data Science Platforms solution to enable web-facing machine learning capabilities. The implementation of Oddity NeoWize was centered on site-level inference and data capture, positioning the application within the ML and Data Science Platforms category to support customer interaction workflows on the corporate website.
Configuration focused on lightweight model serving and online inference tied directly to web event streams, with implementation work oriented around model deployment, feature ingestion, online inference, and basic model management typical of ML and Data Science Platforms. Oddity NeoWize was instrumented on the website to collect user interaction data for real-time scoring and to feed feature pipelines used by deployed models.
Operational coverage was limited to the company website and customer-facing digital touchpoints, impacting client engagement and marketing related functions rather than broad enterprise systems. Governance and operational processes were scoped to a small professional services firm, emphasizing simple rollout and monitoring practices appropriate for a 10-employee organization using Oddity NeoWize on its site.
|
|
|
Dyefa | Government | 10 | $1M | Indonesia | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2019 | n/a |
In 2019, Dyefa deployed Oddity NeoWize, an ML and Data Science Platforms application, on its public website to provide embedded model-driven capabilities for customer-facing workflows. Dyefa uses Oddity NeoWize in the ML and Data Science Platforms category to deliver website-facing inference and lightweight personalization functions.
The implementation centers on hosted model deployment and inference endpoints, alongside model management features typical of ML and Data Science Platforms such as versioning, a model registry, and automated scoring pipelines. Configuration emphasizes small-team operations appropriate for a 10 person organization, with compact data ingestion and preprocessing flows instrumented to feed the deployed models.
NeoWize is embedded into the site front end through client integration points and server-side inference calls, enabling real-time responses within web forms and content flows. Operational coverage is limited to the public website surface, with model inference invoked during user interactions and responses returned via standard API patterns.
Governance follows a lightweight, central control model with a single model owner responsible for version control, rollout coordination, and monitoring. Deployment practices favor incremental releases and in-line monitoring of model health and traffic patterns to support iterative updates to Oddity NeoWize on the website.
|
|
|
|
Retail | 10 | $1M | United States | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2017 | n/a |
|
|
|
|
Consumer Packaged Goods | 10 | $2M | Singapore | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2017 | n/a |
|
|
|
|
Retail | 10 | $1M | United States | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2020 | n/a |
|
|
|
|
Manufacturing | 10 | $1M | United States | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2021 | n/a |
|
|
|
|
Retail | 10 | $1M | United States | Oddity | Oddity NeoWize | ML and Data Science Platforms | 2019 | n/a |
|
Buyer Intent: Companies Evaluating Oddity NeoWize
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||