Overview
Activeloop provides Deep Lake — a multimodal “database for AI” that stores, versions, streams, and indexes unstructured ML data (images, audio, video, text, embeddings, tensors) and supports vector search and retrieval-augmented generation (RAG) workflows. Activeloop also describes Activeloop-L0: an agentic, multimodal system built on Deep Lake that offers secure, explainable, on-prem and cloud deployments and BYOM support for private data. Typical use cases include retrieval/RAG for documents, finance, pharma, legal, computer vision pipelines, and streaming training/data ingestion for model training. Documentation and developer resources include Deep Lake (v3.x) docs, API/Deep Lake reference, quickstarts and integrations (e.g., LangChain, LlamaIndex), and a public datasets hub. Pricing models observed on the public pricing page include free/freemium, per-seat subscription (Pro), usage-based overages, and custom enterprise quotes with VPC/SSO/compliance options. Company details noted from collected sources: founder/CEO Davit Buniatyan and a YC listing indicating founded ~2018. Items not fully extractable from automated scraping include full About text, canonical contact email/phone, and exact enterprise price per unit; the pricing page should be rechecked live for the most up-to-date overage rates and currency/region specifics.
Key Features
Multimodal database (Deep Lake)
Stores, versions, streams, and indexes unstructured ML data including images, audio, video, text, embeddings, and tensors.
Vector search & RAG support
Built-in support for vector search and retrieval-augmented generation workflows.
Activeloop-L0 (agentic multimodal system)
Higher-level system built on Deep Lake offering agentic, multimodal capabilities with secure, explainable deployments and BYOM for private data.
On-prem and cloud deployments
Supports on-premises and cloud deployment options; enterprise offerings mention VPC deployment and compliance/SSO support.
Integrations & developer tooling
Docs and quickstarts include API references, RAG quickstarts, and integrations with frameworks like LangChain and LlamaIndex.
Streaming and training pipelines
Guides for dataset creation, streaming training, and using Deep Lake for model training data pipelines.
Who Can Use This Tool?
- ML engineers:Use Deep Lake to store, version, and stream multimodal training datasets and perform vector search/RAG in ML pipelines.
- Data teams / researchers:Manage public and private datasets, run RAG retrieval, and integrate Deep Lake with existing tooling and quickstarts.
- Enterprises:Deploy on-prem or in cloud with VPC/SSO/compliance support and obtain custom enterprise pricing and limits via sales.
Pricing Plans
Free tier with limited storage and a small daily query allowance.
- ✓100 MB storage limit
- ✓100 MB data ingested included
- ✓Limited to 3 queries per day
- ✓Per-seat account
Per-seat Pro plan with included storage, token allowances, and overage rates.
- ✓10 GB included storage
- ✓$0.99 per additional GB storage
- ✓5M input tokens included; $1 per additional 1M input tokens
- ✓1.67M output tokens included; $15 per additional 1M output tokens
- ✓Per-seat billing
Custom pricing and limits; contact sales for tailored enterprise options.
- ✓Custom pricing (contact sales)
- ✓VPC deployment available
- ✓SSO & compliance support
- ✓Tailored enterprise options and limits
Pros & Cons
✓ Pros
- ✓Provides a dedicated multimodal database for AI (Deep Lake) with storage, versioning, streaming, and indexing for unstructured ML data.
- ✓Built-in support for vector search and RAG workflows.
- ✓Activeloop-L0 described as agentic, multimodal system with BYOM and secure deployments.
- ✓Developer resources and integrations available (docs, API, quickstarts, LangChain and LlamaIndex integrations).
- ✓Public datasets hub and open-source GitHub repo with examples.
✗ Cons
- ✗Canonical contact email and direct sales phone were not reliably extractable from programmatic scraping.
- ✗Enterprise pricing details and exact per-unit enterprise limits are not publicly listed; contact sales required.
- ✗Some site pages returned minimal scraped metadata (e.g., page titles ‘Untitled’ in automated extracts), so About/company text may require manual copy.
- ✗Pricing overage rates and currency/region specifics should be rechecked on the live pricing page before decisions.
Compare with Alternatives
| Feature | Activeloop / Deep Lake | Ocular AI | Vertex AI |
|---|---|---|---|
| Pricing | $40/month | N/A | N/A |
| Rating | 8.2/10 | 8.0/10 | 8.8/10 |
| Multimodal Coverage | Yes | Yes | Partial |
| Vector Search | Yes | No | Yes |
| Data Versioning | Yes | Yes | Partial |
| Labeling Workflows | No | Yes | Yes |
| Streaming Pipelines | Yes | Partial | Partial |
| Deployment Flexibility | On-prem and cloud | Cloud-first enterprise options | Google Cloud managed |
| Developer Integrations | Developer SDKs and integrations | Integrations and governance | Extensive SDKs and MLOps |
| Enterprise Controls | Enterprise-grade controls VPC SSO | Data governance and compliance | Enterprise security and IAM |
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