Side-by-side comparison of AI visibility scores, market position, and capabilities
No-code FP&A platform connecting Google Sheets and Excel to a centralized data layer for fast, flexible planning. New York NY, raised $50M+.
Cube is a financial planning and analysis platform designed to give finance teams a fast path to connected, centralized FP&A without requiring them to replace their existing spreadsheet workflows. Founded in 2018 and headquartered in New York City, Cube has raised more than $50 million from investors including Battery Ventures. The company targets the gap between manual, disconnected spreadsheet FP&A and the complexity and cost of traditional CPM platforms, offering a no-code data layer that syncs with Google Sheets and Microsoft Excel and replaces error-prone manual data consolidation without forcing finance teams into a new interface.\n\nCube's core product connects to source systems including ERPs, CRMs, and HR platforms and centralizes the data in a structured warehouse that is directly accessible from the spreadsheet tools finance teams already use. Users can push data from source systems into their Google Sheets or Excel models with a single click, eliminating the manual VLOOKUP-and-paste workflows that create version control nightmares in growing finance teams. Cube also provides a native web interface for dashboards and reports for users who want to share insights beyond the spreadsheet environment.\n\nCube's positioning as a fast-to-implement, accessible FP&A solution appeals particularly to Series A through Series C startups and mid-market companies whose finance teams have outgrown pure spreadsheets but are not ready for the six-to-twelve-month implementations that larger CPM platforms typically require. The company competes with Mosaic Tech, Runway Financial, and other modern FP&A tools in this emerging segment, as well as with the lower tiers of Planful and Vena, and continues to expand its connectivity library and planning templates.
AI quality assurance with insurance-backed warranties from Swiss Re and Greenlight Re; EU AI Act compliance assessments backed by YC and reinsurance partners for high-risk AI deployments.
Armilla AI is a third-party AI quality assurance and warranty company that evaluates AI models for organizations deploying AI in regulated or high-stakes contexts — assessing models against EU AI Act and NIST AI Risk Management Framework requirements for risks including bias, hallucination, robustness failures, and adversarial vulnerabilities, then providing performance guarantees backed by insurance coverage from reinsurers Swiss Re, Greenlight Re, and Chaucer. Founded in Toronto, Canada, Armilla raised $6.81 million total including a C$4.5 million seed round in February 2024 from Mistral Venture Partners, MS&AD Ventures, Y Combinator, and its reinsurance partners.\n\nArmilla's model is unique in the AI governance market — rather than just providing compliance reports, Armilla backs its assessments with insurance warranty products. An enterprise deploying a third-party AI model can purchase an Armilla warranty that pays out if the model performs differently than assessed (fails on bias, accuracy, or robustness metrics), transferring AI performance risk to insurance markets that can price and distribute it. This insurance mechanism creates financial accountability for AI quality claims that audit reports alone don't provide.\n\nIn 2025, Armilla competes in the AI governance, risk, and compliance market with Credo AI, Arthur AI, and AI audit firms for enterprise AI risk assessment and compliance tools. The EU AI Act, fully applicable by August 2025 for high-risk AI systems, is driving enterprise compliance urgency — companies deploying AI in hiring, credit scoring, healthcare, and other regulated contexts need third-party conformity assessments. Armilla's insurance-backed warranty differentiates its offering from pure advisory competitors. The reinsurer backing (Swiss Re, Greenlight Re, Chaucer) provides both capital credibility and distribution through insurance broker channels. The 2025 strategy focuses on growing EU AI Act compliance assessments and expanding the warranty product coverage to more AI deployment use cases.
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