Verta

What Verta does

Founded in 2018 and headquartered in Menlo Park, Verta is a privately held, for-profit company with 11-50 employees. Its firmographic record positions the firm as an 'Industry-Leading Model Catalog.' First-party content describing Verta's specific products, technology stack, or customers is not present in the supplied input beyond this firmographic label.

The bulk of the aggregated product, technology, customer, and revenue-model data describes an enterprise-scale hybrid (multi-cloud and on-premises) AI platform supporting traditional ML, generative AI, and agentic AI workloads. Sub-products named in the substantive content include AI Workbench, AI Studios, AI Assistants, and AI Inference Service, alongside NVIDIA NIM integration for optimized inference and an enterprise subscription revenue model. Named customers in the substantive content are United Overseas Bank, OCBC Bank, a global telecom, IQVIA, and Geodis. This substantive content does not align with the firmographic profile and most likely reflects a different vendor's data concatenated in error; investors should treat those claims as unverified pending direct confirmation against Verta's first-party materials.

The go-to-market implied by the substantive content is direct enterprise field sales with solutions-engineer support, layered with content marketing, webinars, an annual industry conference, analyst relations, and a podcast, targeting regulated verticals (financial services, telecommunications, healthcare and life sciences, logistics) where on-premises deployment and end-to-end governance are decision criteria. The firmographic record alone — 11-50 employees, model-catalog positioning, single Menlo Park location, no disclosed funding — describes a focused, niche-stage company whose realistic scale is materially smaller than the operations implied by the substantive content.

Name

Verta

Legal name

Cloudera, Inc.

Website

https://verta.ai

Company type

Private

Founded year

2008

Operating status

Operating

Headcount range

11–50 employees

Short description

Verta is a privately held, Menlo Park-based company founded in 2018 with 11-50 employees, identified in firmographics as an 'Industry-Leading Model Catalog.' The aggregated product, customer, and revenue-model content supplied is internally inconsistent with this profile.

Ownership category

akta.pro rank

Product category

Enterprise AI Platform

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), Model Hosting, Serving & Inference Platforms (HDAAACAB)

Keywords

• Enterprise AI platform
• Generative AI development
• MLOps platform
• Hybrid cloud AI
• AI model deployment

Headquarters

HQ city

Menlo Park

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Enterprise AI Platform Subscription: Cloud-native, portable AI platform delivered as a subscription service supporting hybrid environments. Includes access to AI Workbench, AI Studios, AI Assistants, and AI Inference Service with enterprise-grade governance and security.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels7 records

Core offering

Verta provides a cloud-native, portable enterprise AI platform delivered as a subscription service that supports traditional machine learning, generative AI, and agentic AI development and deployment across hybrid (multi-cloud, on-premises, edge) environments. The portfolio comprises AI Workbench (development), AI Studios (low-code GenAI application and agent development), AI Assistants (embedded GenAI productivity tools), AI Inference Service (scalable private model deployment), and AMPs (ready-to-deploy production-grade reference ML/AI solutions).

Product overview

Cloudera AI is a unified enterprise AI platform providing a comprehensive portfolio of tools for building, deploying, and governing AI across hybrid environments. The platform comprises AI Workbench for development flexibility, AI Studios for simplified GenAI and agentic AI application development, AI Assistants for embedded productivity tools, and AI Inference Service for scalable model deployment. Together with Cloudera Accelerators for Machine Learning Projects (AMPs), these products support the full AI lifecycle from data exploration through production deployment, covering traditional ML, generative AI, and agentic AI workloads.

Differentiator

Problem solved

Functional benefit

Brands

• Cloudera AI: Enterprise-grade AI platform for hybrid environments supporting traditional ML, GenAI, and agentic AI development
• Cloudera Data Platform (CDP)
• AI Studios
• AI Inference Service
• AI Workbench
• AI Assistants
• AMPs (Accelerators for Machine Learning Projects)
• ClouderaNOW
• EVOLVE26

Products and services

• Cloudera AI Enterprise-grade AI platform for hybrid environments that supports traditional ML, generative AI, and agentic AI development with secure, scalable, and governed workflows; positioned as the company's core platform product.
• AI Workbench Development environment to rapidly build AI applications and agents with secure, governed access to data and compute, supporting data exploration, model training, fine-tuning, and integration with local editors or hosted notebooks; intended for enterprise data science and ML engineering teams.
• AI Studios Low-code to full-code platform that simplifies GenAI application and agent development, providing enterprises with a faster path to production while maintaining security, governance, and scalability.
• AI Assistants Embedded GenAI productivity tools that enhance productivity and accelerate insights across the data and AI lifecycle, ensuring every insight is traceable, explainable, and trusted within enterprise workflows.
• AI Inference Service Service to deploy and manage AI models with complete privacy across any cloud and on-premises environment, providing autoscaling, robust governance, monitoring, and support for best-performing LLMs with reliable, scalable AI serving for enterprise workloads.
• Accelerators for Machine Learning Projects (AMPs) Ready-to-deploy, production-grade reference solutions for common ML and AI use cases that can be easily adapted to unique requirements to reduce time to value for enterprise AI initiatives.

Quantifiable outcome

• 1M+ personalized ML recommendations saving relationship managers 1,000+ hours in manual analysis (United Overseas Bank)
• +1 more outcomes

Named customers5 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability5 records

Feature6 records

Expansion highlights1 record

Direct peers

• Valohai: MLOps platform with strong model versioning and reproducibility capabilities. Targets enterprise ML teams and overlaps with Verta's model lifecycle management focus.
• Neptune.ai: Experiment tracking and model registry platform with metadata store features. Competes in the same model cataloging and lineage niche as Verta, particularly for ML teams needing metadata-rich registries.
• Weights & Biases: Experiment tracking and model registry platform widely used by ML teams. Closest direct competitor to Verta's model catalog/registry offering for model versioning, lineage, and governance.
• Comet: MLOps platform providing experiment tracking, model registry, and production monitoring. Competes head-to-head with Verta in the model lifecycle and catalog layer for ML and GenAI workloads.
• Domino Data Lab: Enterprise MLOps platform with model management, deployment, and governance capabilities targeting regulated industries (financial services, life sciences). Comparable enterprise-focused catalog and lifecycle offering.

Broad incumbents

• DataRobot: Enterprise AI platform offering model development, deployment, and governance as part of a broader AutoML-to-production stack. Larger incumbent with overlapping model catalog/governance features.
• Databricks (MLflow): Data and AI platform with MLflow as an open-source model registry/catalog component. Broad incumbent with significant overlap in model lifecycle management across cloud and hybrid deployments.
• Microsoft Azure Machine Learning: Enterprise ML platform with model registry, responsible-AI governance, and deployment features. Broad incumbent serving enterprise MLOps needs that overlap with Verta's catalog offering.
• Google Vertex AI: Hyperscaler end-to-end AI platform including model registry, evaluation, and governance. Broad incumbent competing with Verta via integrated catalog and lifecycle features.
• Amazon SageMaker: Hyperscaler ML platform with integrated model registry, lineage, and governance features. Largest-scale incumbent; competes with Verta through bundled cloud-native catalog capabilities.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks5 records

Key highlights5 records

Customer concentration

• Xx.com/VertaAI
• LinkedInlinkedin.com/company/vertaai

Revenue estimate

Valuation estimate

Number of profiles

Subsidiaries12 records

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 Verta