-6%

est. 2Y upside i

AI & MLSeries A

Activeloop is transforming the way organizations harness their data for AI with Deep Lake and Multi-modal AI Search. Whether organizations are answering critical clinical questions, conducting deep research, or searching across vast repositories of scientific papers, Activeloop empowers them to index, search, and organize billions of documents, images, and videos intuitively using natural language powered by Large Language Models.

Rank

#2443

Sector

Artificial Intelligence, Data Management

Est. Liquidity

~6Y

Data Quality

Data: Medium

Activeloop offers moderate upside potential but carries significant risk due to a stale valuation, severe preference stack, and competition from cloud giants.

Last updated: July 19, 2026

Bull (20%)+60%

Activeloop maintains AI database leadership, IPO window opens in 2027, driving multiple expansion to 15x, yielding 60% upside after dilution.

Base (50%)+0%

Revenue grows to $7.2M, multiple converges to 10x, but dilution and preference overhang limit common upside to near zero.

Bear (30%)-60%

Competition from cloud giants intensifies, growth stalls, multiple compresses to 5x, common stock loses 60% despite preference not fully triggered.

Est. time to liquidity~6.0 years

Preference Stack Risk

severe

Funding Intensity

3340%

Total funding of $20M against a $59.9M valuation creates a 33% preference overhang, meaning preferred stockholders recover all $20M before common stock sees any proceeds.

Dilution Risk

moderate

With no new funding since March 2024, a raise within 24 months is likely, potentially diluting current shareholders by 15-25%.

Secondary Liquidity

none

No secondary market trades have been observed, and with only 28 employees, liquidity events are far off.

Engineering — 1 role

View all 1 open roles at Activeloop →

Last updated: March 10, 2026

Questions to Ask at the Interview

Strategic questions based on Activeloop's data — designed to show you've done your homework.

  • 1

    “How does Deep Lake's architecture differ from traditional vector databases like Pinecone or Weaviate?”

  • 2

    “What is the company's go-to-market strategy to compete with integrated MLOps platforms from Azure, AWS, and GCP?”

  • 3

    “Given the company is 8 years old and still at $4.5M revenue, what is the plan to accelerate growth and achieve profitability?”

Community

Valuation Sentiment

Our model estimates -6% upside. What do you think?

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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.