DataKubes

What DataKubes does

DataKubes is a Miami-headquartered, privately held LLC (DataKubes LLC, FEIN 35-2814139) that markets an "all-in-one data-driven operating system" for enterprise organizations. The platform orchestrates computing and data storage resources to build, deploy and operate AI/ML-powered DataApps, with a stated value proposition of reducing implementation cycles from months or years to hours or days. The product is built on open source foundations (Docker, SingleStore, Keras, TensorFlow, Python, Jupyter) and exposes a modular stack including DataWorkshop (ML development), DataPipes (extraction/sync), DataObjects (repository management), Kubes/Analytical Cubes (metadata layer), Query Tool, AutoAPI (REST API), DataForm (field data collection), Alert Rules (SQL-driven notifications including Telegram), DataApp Studio (no-code app builder with drag-and-drop dashboards), and the AutoML DK Engine for classification and regression. Vertical solutions target customer churn, inventory optimization, supply chain, healthcare predictive management, customer experience (DataKubes CX), firewall/middleware, and activity control, with packaged Data Lakes / Data Warehouse architecture leveraging SingleStore.

The company serves enterprise customers via a hybrid enterprise field-sales and product-led-growth motion centered on a free 1-3 month Pilot Program (unlimited platform access, runtime credits, two product specialists, up to 5 days of onsite/field support) that converts to production rollout. Distribution is direct plus channel through Solutions Partners, Resellers, a Data Scientist Network, and ENX LLC (enterprise billing partner). Revenue combines usage-based cloud credits (1 USD = 1 Credit; GPU hours at 6 credits/hour, compute at 1 credit per 100 hours, storage at defined per-GB rates) with subscription-based enterprise dedicated resources and per-GB overage fees. The company reports 11-50 employees, three global offices in the Americas and Europe, and a separate Panama-registered entity, with a customer logo wall spanning large enterprises (Cisco, Dell, Disney, GE, Siemens, Comcast, Akamai, Hulu, Kellogg's, Toyota, Honda, DHL, Copa Airlines) though no customer use cases, contract sizes, or revenue figures are disclosed.

Name

DataKubes

Legal name

DataKubes LLC

Website

https://datakubes.com

Company type

Private

Operating status

Operating

Headcount range

11–50 employees

Short description

DataKubes is a Miami-based private company offering an enterprise data-driven operating system that orchestrates data, ML, and app deployment on open-source foundations (Docker, SingleStore, TensorFlow), targeting large organizations seeking faster AI/DataApp rollouts.

Ownership category

akta.pro rank

Product category

Enterprise AI/ML Data Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Software Publishers (5132), Computer Systems Design and Related Services (5415)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)

akta.pro primary industry

Data Platform (Unified Data & Analytics) Suites (HDAEABAD)

akta.pro secondary industries

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), Data App Builders (Forms, Portals & Internal Tools) (HDAEAKAK), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)

Keywords

• Enterprise AI platform
• Data operating system
• Machine learning orchestration
• No-code AI development
• Automated machine learning

Headquarters

HQ city

Miami

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Usage-based Cloud Credits: Billing based on credit consumption for cloud resources. Credits are deducted monthly based on actual resource usage according to conversion table. Computing Hours, GPU Hours, Data Storage, and Object Storage all consume credits at different rates.
2. Enterprise Dedicated Resources: Enterprise customers with dedicated resources access the platform through an open credit account with ENX LLC. Requires contact with account manager for credit replenishment.
3. Platform Subscription: Monthly fee model with payment due within first 5 days of each month. Per-GB fees apply for additional data usage beyond contracted amounts.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels5 records

Core offering

DataKubes provides an enterprise data-driven operating system (the DataKubes Platform and DataKubes Orchestrator) that orchestrates compute, data storage, and machine-learning workflows to build AI-powered DataApps. The platform combines an AutoML engine, no-code DataApp Studio, data extraction pipelines (DataPipes), analytical cubes (Kubes), AutoAPI, DataForm, Alert Rules, and a Query Tool into a single environment for data science and AI application development. Pre-built vertical solutions (Customer AI Churn, AI Inventory Optimization, AI Supply Chain Optimization, AI HealthCare Predictive Management, DataKubes CX, and others) are packaged on top of the platform for rapid enterprise deployment.

Product overview

DataKubes is an all-in-one data operating system platform that provides a unified environment for data science and AI application development. The core product consists of the DataKubes Platform and DataKubes Orchestrator, which orchestrate computing and data storage resources for building AI-powered applications. The platform includes multiple integrated modules: DataWorkshop for ML model building, DataApp Studio for no-code application development, DataApps for server-less web deployment, Kubes for analytical visualization, DataObjects for repository management, DataPipes for data extraction, AutoAPI for database communication, DataForm for data collection, Alert Rules for automated monitoring, Query Tool for SQL operations, and the DK AutoML Engine for automated machine learning. The platform also offers vertical solutions including Customer AI Churn, AI Inventory Optimization, AI Supply Chain Optimization, AI HealthCare Predictive Management, DataKubes CX for customer experience, Firewall and Middleware, Activity Control, and Data Lakes & Data Warehouse solutions. DataKubes operates using technologies including Docker, SingleStore, Keras, TensorFlow, Python, and Jupyter.

Differentiator

Problem solved

Functional benefit

Products and services

• DataKubes Platform Data-driven operating system for next-generation enterprises that orchestrates computing and data storage resources for building AI-powered DataApps, providing full infrastructure orchestration for data science and AI application development.
• DataKubes Orchestrator Complete modular development platform that orchestrates the end-to-end extraction, machine learning, and visualization workflow for any kind of data problem, including Data Workshop, Repositories, Query Tool, Data Objects, DataPipes, Kubes, AutoAPI, DataForm, Alert Rules, and DataPoints.
• DataKubes CX Customer experience platform that enables tools for measuring customer feedback and predictive applications for customer retention and experience growth across web channels, employees, and business processes.
• Innovation & AI Accelerator Data Operating System (IAO-DOS) Software platform providing a unified data view and accelerating AI application development and deployment, built on open-source technologies including Docker and TensorFlow.
• Customer AI Churn AI/ML solution for predicting customer churn, including ready-to-use AutoML models and a DataApp with UX for customer retention analysis.
• AI Inventory Optimization AI/ML solution for predicting inventory stock levels to increase organization productivity, including AutoML models and DataApp for stock management.
• AI Supply Chain Optimization AI/ML solution for predicting supply chain risks and avoiding delivery disruptions, including models for delivery vulnerability detection.
• AI HealthCare Predictive Management AI/ML platform for managed healthcare organizations to improve operations through predictive analytics, automated tasks, and compliance monitoring.
• Firewall and Middleware Solution for securely controlling data sharing from IT systems to third parties with full visibility over workflows, security keys, and user/system access.
• Activity Control Activity tracking solution for teams including sales reps, operators, drivers, or visitors, measuring agent performance and tracking customer service and fulfillment.
• Data Science Development Platform Comprehensive data science orchestration solution covering the complete workflow from data extraction to AI app development for data science teams across industries.
• Data Lakes & Data Warehouse Data management solution combining a unified real-time data lakehouse architecture with a Zero ETL paradigm and object storage, partnered with SingleStore.
• DataKubes Mobile Apps (iOS and Android) Mobile applications for iOS (App Store) and Android (Google Play) that enable users to access DataKubes platform functionality on mobile devices.
• DataKubes Desktop App v1.8.0 Windows desktop application (version 1.8.0) that provides downloadable installer access to the DataKubes platform on desktop devices.

Quantifiable outcome

• Reduces AI application development from months to hours and days
• +3 more outcomes

Named customers20 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability5 records

Feature8 records

Partnerships

Nine partnerships are on record, tiered core and supporting.

• DockercoreTechnology or IntegrationTechnology partner providing container technology foundation for DataKubes platform. Docker is used as the underlying container technology for the Innovation & AI Accelerator Data Operating System (IAO-DOS).
• SingleStorecoreTechnology or IntegrationPrimary database technology partner powering DataKubes repositories. Supports Realtime Kubes for live data joins. Combined DataKubes + SingleStore enables Zero ETL paradigm and Real-Time Data Lakehouse architecture. Named as successful partnership with Impact.com achieving sub-second reporting.
• JupytersupportingTechnology or IntegrationTechnology partner providing Jupyter notebook integration for data science development workflows within the DataKubes platform.
• TensorFlowcoreTechnology or IntegrationTechnology partner providing ML framework for AI model training and inference. TensorFlow is a core component of the IAO-DOS built on open source technologies.
• KerassupportingTechnology or IntegrationTechnology partner providing neural network API integrated into DataKubes for ML model development alongside TensorFlow and Python containers.
• PythonsupportingTechnology or IntegrationProgramming language partner providing custom Python container environments for data extraction, transformation, and ML model development.
• ClearBitsupportingTechnology or IntegrationIntegration partner providing social network information enrichment based on email addresses. When email is configured, ClearBit shows social scan option for customer data enrichment.
• MapBoxsupportingTechnology or IntegrationIntegration partner providing map rendering engine for displaying GPS fields and GeoPoint data in dashboards and reports.
• ENX LLCcoreChannel Partner/ Reseller/ DistributorEnterprise customers channel partner providing dedicated resources access. DataKubes credits can be added through open credit account with ENX LLC for enterprise billing.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Alteryx: End-to-end analytics and data science automation platform with low-code/no-code capabilities — directly comparable to DataKubes' DataApp Studio and full-lifecycle orchestration for enterprise users.
• RapidMiner: Data science platform with AutoML, visual workflow design, and enterprise deployment — comparable to DataKubes' orchestrator covering extraction, ML, visualization, and app deployment in one environment.
• H2O.ai: Open-source AutoML and enterprise AI platform (H2O Driverless AI) targeting similar mid-market and enterprise customers with automated ML workflows — closely aligned with DataKubes' AutoML DK Engine.
• DataRobot: Enterprise AutoML platform offering automated model building, deployment, and MLOps — directly comparable to DataKubes' DK AutoML Engine and full-lifecycle orchestration positioning.

Broad incumbents

• Databricks: Unified data lakehouse + ML platform built on open source (Spark, Delta Lake, MLflow). The dominant competitor for DataKubes' "data-driven operating system" narrative, with vastly larger scale and funding.
• AWS SageMaker: Hyperscaler-grade end-to-end ML platform with AutoML (SageMaker Autopilot), data preparation, training, and deployment — the dominant cloud incumbent that DataKubes competes against in enterprise accounts.
• Google Vertex AI: Google Cloud's unified ML platform offering AutoML, custom training, and MLOps — competes with DataKubes on enterprise AI deployment, often bundled with existing Google Cloud data warehouse customers.
• Microsoft Azure Machine Learning: Hyperscaler ML platform with AutoML, designer (no-code), and MLOps — competes with DataKubes on enterprise AI app development, often embedded within larger Microsoft enterprise agreements.
• Snowflake: Cloud data platform that has expanded into data lakehouse, AI/ML workloads, and application development — competing with DataKubes' unified data and analytics positioning, especially given the shared SingleStore real-time analytics overlap.
• Palantir Foundry: Enterprise "data operating system" that integrates data, ontology, and AI app building for large enterprises — a direct philosophical peer to DataKubes' "data-driven OS" positioning, though at much larger scale and contract size.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DataKubes