List of MindsDB Customers
San Jose, 95148, CA,
United States
Since 2010, our global team of researchers has been studying MindsDB 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 MindsDB 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 MindsDB for ML and Data Science Platforms include: Rize, a United States based Professional Services organisation with 130 employees and revenues of $25.0 million, Domuso, a United States based Banking and Financial Services organisation with 1 employees and revenues of $1.0 million, Journey Foods, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using MindsDB, 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 MindsDB 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Domuso | Banking and Financial Services | 1 | $1M | United States | MindsDB | MindsDB | ML and Data Science Platforms | 2023 | n/a |
In 2023 Domuso deployed MindsDB Cloud to build and operationalize machine learning models for payments, collections, and fraud or chargeback reduction across its multifamily and property management finance workflows in the United States. MindsDB is an ML and Data Science Platforms solution used to run payments and collections ML modules and fraud detection models, with models developed and served from MindsDB Cloud into Domuso's operational finance processes.
The implementation focused on embedding machine learning into payments, collections, and chargeback workflows within finance and risk operations, enabling model inference to inform remediation and routing decisions. According to MindsDB, the deployment produced a $95,000 reduction in chargebacks over two months and an estimated $500,000 annual saving, outcomes that indicate active usage of payments and collections ML capabilities in Domuso's finance functions.
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Journey Foods | Professional Services | 10 | $1M | United States | MindsDB | MindsDB | ML and Data Science Platforms | 2023 | n/a |
In 2023, Journey Foods deployed MindsDB as its ML and Data Science Platforms solution for cost-forecasting and cost-optimization in CPG and supply-chain use cases. The implementation was centered on product and supply-chain teams in the United States and targeted embedding predictive cost models into operational decision workflows to accelerate model development while minimizing MLOps overhead.
MindsDB was configured to connect directly to Journey Foods operational data using native database connectors and to leverage AutoML patterns described in partner case material, enabling rapid prototyping of regression and forecasting models for cost prediction. The technical architecture emphasized direct database connectors over bespoke ETL pipelines to reduce engineering lift and ongoing maintenance, and implemented functional capabilities typical of ML and Data Science Platforms such as automated model training, validation workflows, inference endpoints, and cost-optimization model scoring integrated into supply-chain decision processes. Governance and rollout focused on aligning model outputs with product and supply-chain operational workflows, enabling teams to use cost forecasts and optimization recommendations within existing planning and pricing processes.
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Rize | Professional Services | 130 | $25M | United States | MindsDB | MindsDB | ML and Data Science Platforms | 2023 | n/a |
In 2023, Rize implemented MindsDB as part of its ML and Data Science Platforms work to add ML-driven product features and retention insights. The deployment used MindsDB Cloud to train and auto-deploy models directly from Rize's primary product database, with a focus on product and engagement analytics in the United States.
The implementation leveraged MindsDB Cloud's train-and-deploy capabilities to create model pipelines that surface engagement signals and retention predictors into the product stack. Functional configuration included automated model training, scheduled retraining workflows, and deployed inference endpoints for scoring, with pipelines orchestrated from the source database through MindsDB Cloud to the application layer.
Operational coverage centered on product analytics and customer retention use cases affecting product and analytics teams, and rollout governance emphasized embedding model deployment into the engineering workflow to accelerate feature delivery. According to Rize's CTO the approach substantially shortened development time and saved many thousands of dollars, outcomes attributed to MindsDB Cloud's direct train-and-deploy model path.
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Buyer Intent: Companies Evaluating MindsDB
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