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Cube is a Palo Alto, California-based technology company that develops an artificial intelligence-powered software platform designed to help local businesses automate their customer review and reputation management processes. The enterprise software enables consumer-facing brands to systematically collect, monitor, and respond to online feedback by combining automated communication workflows with dedicated expert support to improve their overall marketing outcomes. Operating within the broader marketing technology sector, the organization currently maintains an estimated global workforce of 101 to 200 employees and generates approximately $13.5 million in annual recurring revenue. To support its ongoing commercial operations and continued platform development, the firm has secured $1.7 million in total venture funding, which has contributed to an estimated corporate valuation of $43 million. Cube was officially established in the year 2022 by founder and current chief executive officer Suhail Abidi.
Cube has raised $48.5M across 4 funding rounds.
Cube has raised $48.5M in total across 4 funding rounds.
Cube has raised $48.5M in total across 4 funding rounds.
Cube's investors include Eric Schmidt, Florian Douetteau, Olivier Pomel, K5 Global, Kima Ventures, VentureFriends, Battery Ventures, Bonfire Ventures, DN Capital, Flourish Ventures, Homebrew, LGF.
Cube has raised $48.5M across 4 funding rounds. Most recently, it raised $3.5M CUBE AI - Pre-Seed in July 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jul 30, 2025 | $3.5M Pre Seed | — | Eric Schmidt, Florian Douetteau, Olivier Pomel, K5 Global, Kima Ventures, VentureFriends | Announced |
| Jun 1, 2022 | $30M Series B | Battery Ventures | Bonfire Ventures, DN Capital, Flourish Ventures, Homebrew, LGF, Madrona Venture Group, Mayfield, Next47, Osbon Capital Management, Tiger Global Management, William Hockey, GTMfund, Operator Collective | Announced |
| Mar 1, 2021 | $10M Series A | Mayfield | Bonfire Ventures, DN Capital, Madrona Venture Group, Next47, Tiger Global Management, Operator Collective | Announced |
| Jul 1, 2020 | $5M Seed | Bonfire Ventures | DN Capital, Next47, Alumni Ventures, Clocktower Technology Ventures, Operator Collective, Techstars | Announced |
Cube (cube.dev) is a technology company that builds a universal semantic layer for data, connecting diverse data sources to BI tools, embedded analytics, LLMs, and AI agents, solving the inefficiency of fragmented data models across silos.[1] It serves enterprises needing consistent, contextual business data delivery, with offerings like open-source Cube Core and enterprise-grade Cube Cloud, powering next-generation data experiences with clarity and security.[1]
The platform addresses core problems like inconsistent data models in BI tools and cloud warehouses, now critical for LLMs to grasp business context, making data access efficient and accurate for all consumers.[1]
Cube was founded to tackle a pressing issue: data models scattered across BI tools and cloud data warehouses, leading to inefficiency, inconsistency, and inaccuracy—exacerbated by LLMs' need for semantic understanding of business data.[1] The company emerged from this real-world pain point, launching the open-source Cube Core project alongside Cube Cloud for production-scale needs.[1] Early traction stemmed from recognizing the semantic layer's role in unifying data for modern analytics and AI, humanizing its mission to bring clarity, consistency, and context to enterprise data.[1]
Cube rides the wave of AI-driven data democratization, where LLMs and agents demand a unified semantic layer to interpret raw data with business context amid exploding data volumes from cloud warehouses.[1] Timing is ideal as BI tools fragment further and regulations push for data governance, positioning Cube to bridge structured silos with AI needs.[1] Market forces like AI adoption in enterprises favor it, influencing the ecosystem by standardizing data models—much like a "data API" layer—accelerating embedded analytics and reducing custom modeling costs across startups and incumbents.[1]
Cube is poised to dominate as the go-to semantic layer for AI-augmented analytics, with expansion into more AI agent integrations and multi-modal data handling on the horizon.[1] Trends like agentic AI and real-time data federation will amplify its role, potentially evolving it into a full data orchestration platform amid growing enterprise AI investments. As the universal connector of data chaos to intelligent clarity, Cube solidifies its place powering the AI data economy.[1]
