List of Dolthub Customers
Santa Monica, 90402, CA,
United States
Since 2010, our global team of researchers has been studying Dolthub 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 Dolthub for AI Database 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 Dolthub for AI Database include: Flock Safety, a United States based Professional Services organisation with 170 employees and revenues of $30.0 million, Network To Code, a United States based Professional Services organisation with 127 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Dolthub, 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 Dolthub 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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Flock Safety | Professional Services | 170 | $30M | United States | Dolthub | Dolthub | AI Database | 2024 | n/a |
In 2024 Flock Safety implemented Dolthub as an AI Database to support versioning and management of large machine learning training datasets for license plate recognition and public safety models. The deployment centers on data science and ML engineering workflows, using Dolthub to establish reproducible model builds and dataset revision tracking across its US operations.
Implementation focuses on Dolthub data versioning capabilities drawn from Dolt customer use case patterns, including dataset version control, branching of training data revisions, and dataset diffs to surface changes between training runs. Dolthub is used to store and version structured training tables so teams can produce exact data snapshots for model training and compare revisions to diagnose model behavior changes.
Operational coverage includes data science and ML engineering teams responsible for model training and validation, with governance centered on reproducibility and traceability of training inputs. The rollout emphasizes dataset diffs and reproducible build pipelines so that model changes can be traced back to specific training data revisions as described by Dolt in its published use case.
The implementation explicitly enables reproducible model builds and diffs between training revisions in the US, supporting Flock Safety's license plate recognition and public safety modeling efforts without asserting measurable outcomes beyond the stated capability.
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Network To Code | Professional Services | 127 | $20M | United States | Dolthub | Dolthub | AI Database | 2021 | n/a |
In 2021 Network To Code integrated Dolthub, an AI Database, into its Nautobot-based network automation tooling. The implementation is documented as running Nautobot on a Dolt database and using Hosted Dolt for demos and production, supporting US and global deployments, and tying the Dolthub platform directly into network configuration workflows.
Integration work used the Nautobot Version Control plugin to connect Nautobot to Dolthub and Dolt storage, providing Git style branching, pull request review, diffs and one click rollbacks for network configuration data. These functional capabilities were configured to capture configuration object snapshots, track change histories, and support staged deployment workflows aligned with automated network change pipelines.
Operational coverage targeted network automation processes across US and global deployments, with Hosted Dolt used for demonstration environments and production Dolt instances for live configuration data persistence. The integration positioned Dolthub as the backing AI Database for Nautobot configuration objects, surfacing database level branching and diff semantics directly inside network change workflows.
Governance and workflow changes emphasized pull request based change review, diffs driven approvals and rollback procedures, enabling safer configuration changes and staged deployments. The project explicitly improved change review and data integrity for network automation, and the documentation captures the architecture and operational patterns for running Nautobot on Dolt and using Hosted Dolt in both demo and production contexts.
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Buyer Intent: Companies Evaluating Dolthub
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