Side-by-side comparison of AI visibility scores, market position, and capabilities
Paris-based AI assistant platform for teams; raised $21.5M total (Sequoia-led); hit $7.3M ARR with 66-person team; connects company data to LLMs securely
Dust is a Paris-based enterprise AI assistant platform founded to help teams connect their internal knowledge and data to large language models in a secure, governed way. The company was founded by former Stripe engineers who saw that the core challenge in deploying AI at work was not the model itself but the data integration layer — making company knowledge accessible to AI without creating security and compliance risks. Dust's platform allows organizations to connect data sources like Notion, Slack, GitHub, Google Drive, and custom internal tools into a unified knowledge layer that powers AI assistants tuned for the company's specific context.\n\nDust's product enables teams to build and deploy custom AI agents — internally called "assistants" — that can answer questions, summarize documents, draft communications, and complete workflows using the company's proprietary data. The platform includes role-based access controls, ensuring that AI assistants only surface information appropriate for the requesting user's permissions. Customers use Dust to replace fragmented AI experiments across different departments with a centralized, IT-governed deployment that scales across the organization.\n\nDust raised $21.5M in total funding, including a Sequoia-led round, and reached $7.3M ARR with a 66-person team — a capital-efficient growth profile that reflects the founders' engineering discipline. The company competes in the enterprise AI assistant market against Microsoft Copilot, Glean, and Notion AI, differentiating through its developer-friendly customization, European data residency options, and focus on mid-market companies that need enterprise-grade governance without the complexity of large-company deployments.
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.
Dust vs
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