Activeloop

Activeloop provides a stack of tools for AI development, including a data engine, an organizational memory system, and a software factory.

Venture Funded$17MSeries AAmplify PartnersE14 FundY Combinator

data managementmachine learningscalable pipelinesdata versioning

About

The Activeloop stack offers three components for production: Deeplake, Hivemind, and Refinery. Deeplake is described as a data engine that keeps AI agents grounded, versioned, queryable, and GPU-native, supporting vector and tensor storage, GPU streaming, and a serverless Postgres interface. Hivemind is presented as an organizational memory tool where agent traces become shared team skills, facilitating trajectory capture, cross-team sync, and skill distribution. Refinery is a software factory designed to turn feedback into production through continuous learning, offering database optimization, kernel generation, and physical AI policy optimization. The vendor states that every operation is a continuous loop, where teams observe production, remember what happened, improve the next attempt, and verify before shipping.

Read from activeloop.ai on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

64/100 · Established

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Self-Hosted, Hybrid

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityStrong

Founded 2019 · Series A

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

Active

last GitHub commit 0d ago

GitHub API2026-05-27

activeloopai

Open source product· 9.2k★· Apache-2.0· active 3mo ago

Python · Jupyter Notebook · TypeScript · HTML

cooling · +18★ (+0.2%) 30d

PyPI registry

deeplake

v4.6.2· 224.9k/mo· released 3mo ago

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

Large-scale ML dataset management

AI model training data pipelines

Data versioning and lineage tracking

Real-time data streaming for AI

Enterprise AI infrastructure optimization

Integrations

TensorFlowPyTorchKubernetesAWS S3Google Cloud StorageAzure Blob StorageMLflowKubeflow

How Activeloop compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Activeloop	64 · Established	Freemium	Cloud, Self-Hosted, Hybrid	—	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 Activeloop used for?

Activeloop is activeloop provides a stack of tools for AI development, including a data engine, an organizational memory system, and a software factory. It is commonly used for large-scale ml dataset management, ai model training data pipelines, data versioning and lineage tracking, and real-time data streaming for ai.

Is Activeloop free, and how is it priced?

Activeloop offers a free tier, with paid plans that add capacity and features.

How can Activeloop be deployed?

Activeloop supports Cloud, Self-Hosted, and Hybrid deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Activeloop integrate with?

Activeloop documents 8 integrations, including TensorFlow, PyTorch, Kubernetes, AWS S3, Google Cloud Storage, and Azure Blob Storage.

When was Activeloop founded?

Activeloop was founded in 2019 and has raised $17M in funding.

Is Activeloop enterprise-ready?

Based on cataloged data, Activeloop has an Enterprise Readiness score of 64/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingFreemium

DeploymentCloud, Self-Hosted, Hybrid

Founded2019

Funding$17M

CategoryData & MLOps

Procurement

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