Aquarium

Name: Aquarium
Brand: Aquarium
Rating: 4.6 (14 reviews)

AI Native

Aquarium helps deep learning teams improve their model performance by improving their datasets.

Est 2020|Valuation $2.1M|Raised $2.8M|5 Ref Customers

LinkedIn 1K|Website|FTEs 16|HQ San Francisco, us

MarketsData Quality

01Competitive Landscape

Narrative competitive analysis

Roboflow is suitable for teams seeking a self-serve, packaged CV platform with documented plans and a developer ecosystem.
Labelbox is often selected when annotation workflows, workforce management, and model-assisted labeling are primary needs in an enterprise context.
SuperAnnotate and Scale AI present alternative approaches: SuperAnnotate focuses on annotation and data workflows while Scale AI provides a services-forward offering suitable when outsourcing or managed labeling pipelines are required.

- Roboflow is suitable for teams seeking a self-serve, packaged CV platform with documented plans and a developer ecosystem. - Labelbox is often selected when annotation workflows, workforce management, and model-assisted labeling are primary needs in an enterprise context. - SuperAnnotate and Scale AI present alternative approaches: SuperAnnotate focuses on annotation and data workflows while Scale AI provides a services-forward offering suitable when outsourcing or managed labeling pipelines are required.

Market share and adoption trends

Market share for Aquarium is not reliably quantified in accessible sources. A startup directory/accelerator lists Aquarium as “Acquired” and the official site announces a product wind-down, indicating Aquarium is no longer competing as an independent, ongoing platform.

	Aquarium	Roboflow	Labelbox
Starting Price	Not publicly available (product being wound down)	Free tier; published paid plans and tiers	Pricing is largely sales-led; billing documents indicate usage/subscription + add-ons
Intended Use	Historically: dataset debugging and curation with collaborative views	Computer vision dataset pipeline from ingestion through training and deployment	Annotation and data management with model-assisted labeling capabilities
Key Differentiator	Focus on dataset debugging and failure-pattern analysis (per documentation)	Clear packaging and developer ecosystem for CV	Extensive annotation workflow ecosystem and enterprise features
Key Weakness	Product wind-down; limited public security/pricing information; some reports of setup/performance friction	May be less oriented toward non-CV tasks; pricing model can be complex at scale	Pricing and packaging can be sales-driven; enterprise features typically involve sales engagement