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Activeloop

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Activeloop

Database for AI

activeloop.ai
HQ: Mountain View, CA, USA
11-50
B2B

Company research

Public company, workplace, funding, and market signals

Overview

Activeloop is a Mountain View–based AI infrastructure company building a "Database for AI" and continual-learning stack for multimodal data and agents.

Primary product

Deep Lake (the Database for AI / multimodal vector-tensor database)

Founded

2018

Headquarters

Mountain View, California, USA

Team size

11-50

Work style

Onsite

Industry

Software Development

Sub-industry

AI infrastructure / vector database / multimodal data platform

Offices

196 Castro St, Mountain View, CA 94041 (HQ)
238 Castro St, Mountain View, CA
Yerevan, Armenia (hub)

Business model

open-core
usage-based SaaS
token-based API pricing
enterprise deployment / on-prem

Funding

Stage

Series A

Total raised

$19.7M

Latest round

Series A · Mar 2024

Latest amount

$11M

People & investors

Leadership

Davit Buniatyan

Founder & CEO

Sasun Hambardzumyan

Chief Technology Officer

Michael Sutyak

VP Growth

Ruben Abdalian

Founding Account Executive

Investors

468 Capital
AiSprouts
Alumni Ventures
CM Ventures
David Aronchick
Dispersion Capital
Fenox Venture Capital
Paul Buchheit
Samsung Next
Shasta Ventures
SmartGateVC
Streamlined Ventures
Tobi Knaup
Tribe Capital
Y Combinator

Work & culture

Fast-moving and onsite-first, with a collaborative, side-by-side working style across California and Yerevan hubs. Public hiring copy emphasizes clarity, fairness, ownership, and hands-on teamwork.

Work style

Onsite

Compensation

Public postings say Activeloop publishes salary ranges on every role and runs annual compensation reviews. Current public ranges include Staff Backend Engineer at $150K-$250K and VP of Engineering at $200K-$300K, plus equity on some roles.

Benefits

medical insurance
vision insurance
dental insurance
life/AD&D insurance
401(k) retirement plan
meaningful equity
annual compensation reviews
salary transparency
mentorship
learning resources

Product & market

Pricing

Token-based pricing for models plus storage pricing, with enterprise deployment / BYO-cloud options and custom enterprise deals.

Differentiators

  • —GPU-native multimodal database
  • —versioned and queryable vector + tensor storage
  • —serverless Postgres interface
  • —traceable/citation-backed answers
  • —on-your-cloud / BYO-cloud deployment
  • —open-core stack
  • —continual-learning layer for coding agents (Hivemind)
  • —SOC 2 / enterprise security options

Technology

Python
PyTorch
Postgres
Kubernetes
Docker
MongoDB
Redis
TensorFlow
SQL
C
microservices
MLOps
GitHub
Salesforce

Customers

Bayer Radiology
Matterport
Flagship Pioneering
Ropers Majeski (via Hercules.ai)
IntelinAir
Fortune 500 MedTech (unnamed)

Competitors

Qdrant
Weaviate
Milvus
Chroma
Clarifai

Scale & contact

Estimated revenue

$1M-$10M

Estimated monthly visits

43.9K

Traffic estimate as of May 2026

hello@activeloop.ai+1 (415) 876-5667

Latest news

We have 3 new updates to Hivemind

LinkedIn · Jul 2026

Activeloop announced new Hivemind features: proactive search for Claude Code/Cursor, cross-team skill sharing, and assignable goals.

Hivemind helps coding agents get smarter with every team interaction

LinkedIn · Jun 2026

Activeloop promoted Hivemind as a shared-memory layer that turns repeated agent traces into reusable skills and claims meaningful token and cost savings.

Beyond Memory: Continuous Learning Agents with Hivemind

Michael Sutyak / Beehiiv · May 2026

Launch of Hivemind, a continuous-learning layer for coding agents across Claude Code, Codex, OpenClaw, Hermes, and others; emphasizes shared traces, reusable skills, and a free cloud tier.

Today we are excited to launch Deep Lake PG

LinkedIn · Dec 2025

Launch of Deep Lake PG, an open-source unified database combining serverless Postgres and Deep Lake tensor storage for agentic and multimodal AI systems.

Activeloop raises $11M Series A to bring its Database for AI to Fortune 500 companies

PR Newswire · Mar 2024

Series A announcement; round led by Streamlined Ventures with participation from Y Combinator, Samsung Next, Alumni Ventures, and Dispersion Capital; total funding around $20M.

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