Cube vs AlphaSense
Side-by-side comparison of AI visibility scores, market position, and capabilities
San Francisco CA semantic layer and headless BI platform; raised $100M+; API-first data access layer that sits between warehouses and any BI or AI consumer.
About
Cube is a semantic layer and headless business intelligence platform founded in 2019 and headquartered in San Francisco, California. The company was founded by Artyom Keydunov and Pavel Tiunov to solve the problem of metric proliferation in data-driven organizations: when every BI tool, internal application, and data consumer defines its own metrics independently, companies end up with different answers to the same business question depending on where they look. Cube provides a single semantic layer — a governed data model layer — that defines all business metrics and dimensions once, then serves them consistently to any downstream consumer via REST, GraphQL, or SQL APIs.\n\nCube raised $100 million across multiple funding rounds from investors including Bain Capital Ventures, Decibel Partners, and 468 Capital. Its platform is built on an open-source core (Cube.js) with hundreds of thousands of community users and deployments. The commercial Cube Cloud product adds managed infrastructure, a development environment, testing tools, query caching for performance optimization, and access controls. Cube's API-first, headless architecture allows it to serve metrics to traditional BI tools, embedded analytics applications, internal data apps, and increasingly AI assistants and large language model (LLM)-powered analytics tools.\n\nCube's caching and pre-aggregation engine is a significant technical capability: it automatically builds materialized aggregates from frequently run queries and serves them from a high-performance cache layer, dramatically reducing warehouse query latency and costs for dashboards and embedded analytics applications. This performance layer makes Cube a practical choice for public-facing embedded analytics where end users expect sub-second response times that direct warehouse queries cannot reliably deliver.
AI market intelligence platform with $500M ARR (Oct 2025), 7,000 enterprise customers including 90% of S&P 100; raised $1.39B total at $4B+ valuation; acquired Tegus (2024) and Carousel (2025) to dominate financial research.
About
AlphaSense is a New York-based market intelligence and search platform founded in 2011 by Jack Kokko and Raj Neervannan. The company applies AI and natural language processing to a comprehensive content library spanning company SEC filings, earnings call transcripts, broker research, trade journals, expert interview transcripts (via the Tegus acquisition), news, and proprietary internal documents — enabling financial professionals and corporate strategists to conduct research across vast amounts of text-based information in seconds. AlphaSense serves more than 7,000 enterprise customers including 90% of the S&P 100, approximately 70% of the S&P 500, and more than half of the Fortune 500.
AI Visibility Head-to-Head
Key Details
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.