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.
Tech-enabled bookkeeping pairing dedicated accountants with proprietary automation; flat monthly subscription; founded 2020 in Fishers, Indiana; faster close with full client transparency.
Decimal is a Fishers, Indiana-based technology-enabled bookkeeping company that provides small businesses with a dedicated accounting team and a modern software platform for a flat monthly subscription. Founded in 2020, Decimal was built to address the most common frustration of small business owners who have outgrown DIY bookkeeping but find traditional bookkeeping firms slow, expensive, and opaque. Decimal pairs each client with a dedicated bookkeeper and accounting team who are supported by proprietary software that automates routine transaction processing, exception identification, and reporting, allowing the human team to focus on accuracy review, month-end close, and client communication rather than manual data entry.\n\nDecimal's product experience centers on transparency and responsiveness. Clients access their books through a web portal with real-time financial dashboards showing cash position, profit and loss, and accounts receivable and payable balances. The platform includes a communication thread for each question or task, giving small business owners visibility into the status of their bookkeeping without email chains or phone tag. Decimal's pricing model is a flat monthly subscription based on business complexity rather than hours worked, making costs predictable and removing the billing anxiety that characterizes traditional bookkeeping relationships.\n\nDecimal targets small businesses with $500,000 to $10 million in annual revenue that need accurate, timely books and periodic financial guidance but are not yet ready for a full-time accounting hire or a CFO-level engagement. The company operates as a fully remote team and serves clients across the United States in industries including professional services, e-commerce, retail, and service businesses. Decimal competes with Bench, Pilot, and Botkeeper in the technology-enabled bookkeeping market, differentiating on its dedicated team model, the quality of its software-plus-human integration, and its Midwestern operational roots that keep its cost structure competitive.
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