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Scale AI Data Engine

Enterprise-grade data pipelines for scalable, compliant AI data infrastructure.

Venture Funded$600M+Series ETiger Global ManagementFounders FundIndex Ventures

data labelingdata qualityscalable pipelinescompliance

About

Scale AI Data Engine enables enterprises to build, manage, and scale robust data pipelines with high-quality, labeled data. Designed for complex AI and machine learning operations, it accelerates data readiness and operational efficiency.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Scale AI Data Engine’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityPartial

Cloud-based: Cloud

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2016 · Series E

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Dormant

no commits or releases in 126 months

GitHub API2026-05-27

scale

SDK / client libraries· 0★· active 10.6y ago

C++

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

Automated data labeling for machine learning

End-to-end data pipeline orchestration

Data quality assurance and validation

Compliance-driven data workflows

Scalable AI training data management

Real-time data ingestion and processing

Integrations

AWSAzureGoogle CloudSnowflakeDatabricksApache AirflowKubernetesSlack

How Scale AI Data Engine compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Scale AI Data Engine	Not scored	Enterprise	Cloud	—	8
Airbyte	Not scored	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Astronomer Astro	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Elastic AI	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Scale AI Data Engine used for?

Scale AI Data Engine is enterprise-grade data pipelines for scalable, compliant AI data infrastructure. It is commonly used for automated data labeling for machine learning, end-to-end data pipeline orchestration, data quality assurance and validation, and compliance-driven data workflows.

Is Scale AI Data Engine free, and how is it priced?

Scale AI Data Engine uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Scale AI Data Engine be deployed?

Scale AI Data Engine supports Cloud deployment. It is delivered as a cloud-hosted service.

What does Scale AI Data Engine integrate with?

Scale AI Data Engine documents 8 integrations, including AWS, Azure, Google Cloud, Snowflake, Databricks, and Apache Airflow.

When was Scale AI Data Engine founded?

Scale AI Data Engine was founded in 2016 and has raised $600M+ in funding.

Is Scale AI Data Engine enterprise-ready?

Based on cataloged data, Scale AI Data Engine has an Enterprise Readiness score of 60/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud

Founded2016

Funding$600M+

CategoryData & MLOps

Procurement

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