Vendors

  • Xero (with JAX / Just Ask Xero)

    Xero’s AI features (JAX as the headline generative assistant, plus AI-powered bank reconciliation, data capture, and the broader Xero OS platform) sit within Xero’s enterprise-grade SaaS infrastructure. Xero holds SOC 2 Type II and ISO 27001 certifications, operates regional data residency for AU/NZ customers, and has invested heavily in AI-specific security and privacy controls as…

  • Adobe Firefly

    Adobe Firefly’s central marketing claim — trained only on Adobe Stock, Creative Commons, and public domain content — is the foundation of its commercial-safety positioning and the basis for its IP indemnification offering. In April 2024, Bloomberg reported that approximately 5% of Firefly’s training set was AI-generated content from other models, including images from Midjourney…

  • Canva Magic Studio

    Canva’s AI features (consolidated under the Magic Studio brand) sit within Canva’s broader design platform with one of the cleanest training-default structures of any AI design vendor as of mid-2026. The November 2025 Canva AI Product Terms made the distinction crisp: Teams, Business, Enterprise, and Education accounts are never used for AI training and cannot…

  • Shopify Magic / Sidekick

    Shopify’s AI features (Magic for content generation, Sidekick for the conversational store-management assistant, Shop AI for shopper-facing chat) sit within Shopify’s e-commerce platform. Shopify maintains a no-training default with its third-party AI subprocessors, holds SOC 2 Type II certification, and is PCI-DSS Level 1 certified for the payment-handling parts of its infrastructure. CEO Tobi Lütke’s…

  • HubSpot AI (Breeze)

    HubSpot’s AI features (consolidated under the Breeze brand during 2024-2025, expanded substantially with the Spring Spotlight 2026 release) are embedded across its Marketing, Sales, Service, and CMS Hubs. HubSpot has invested heavily in privacy-positive defaults: subprocessor agreements explicitly prohibit AI providers from using customer data for model training, zero-data-retention enforced “wherever possible,” US customer data…

  • Salesforce Einstein / Agentforce

    Salesforce’s AI products (Einstein for predictive features, Agentforce for agentic workflows) sit within Salesforce’s enterprise-grade governance framework anchored by the Einstein Trust Layer. The Trust Layer is Salesforce’s built-in mechanism for preventing agent prompts from being used to train external models, masking sensitive PII before it reaches an LLM, and logging all agent activity for…

  • Intercom Fin

    Intercom Fin is the most-documented AI customer-service agent in this database from a privacy posture perspective. Intercom has published explicit commitments on its blog and in its Additional Product Terms: third-party LLM providers operate under zero-data-retention arrangements, customer data is not used for model training or fine-tuning, and the Fin AI Engine is designed with…

  • Fathom (meeting AI)

    Fathom is a meeting-AI tool focused on Zoom, Google Meet, and Microsoft Teams call summaries. Unlike Granola’s silent bot-free architecture, Fathom uses a visible-bot model — “Fathom Notetaker” appears as a named participant in your meetings. This is the same architecture as Otter.ai and Fireflies.ai, the two vendors currently defending class actions over consent and…