Automates email campaigns, flows, and segmentation through natural language prompts managed by AI agents.
Handles complex technical deliverability setup including DKIM, SPF, DMARC, and IP warmup without manual intervention.
Provides a rich MCP surface allowing agents to execute tasks like drafting copy, building sequences, and analyzing performance.
Separates transactional and marketing email streams on dedicated infrastructure to ensure high deliverability and system reliability.
Supports multi-brand management from a single account, pooling send volume to simplify billing and operations.
Why it works
AI-first design eliminates dashboard friction, allowing agents to operate the entire email stack via direct prompts.
Automated deliverability and infrastructure management reduce the technical overhead typically associated with email marketing.
Headless operation via MCP makes it perfectly suited for developers and agents using Claude, Cursor, or ChatGPT.
Separated infrastructure streams prevent marketing volume from impacting critical transactional email delivery performance.
Nitrosend is an AI-native email platform that unifies transactional and marketing emails into a single, agent-controlled stack. Instead of traditional dashboards, users and their AI agents prompt the platform to manage campaigns, automated flows, and segmentation. It features automated technical setup for deliverability and integrates seamlessly with LLM agents like Claude, ChatGPT, and Cursor via MCP.
Nitrosend was founded in Adelaide, Australia, by brothers George and Edward Hartley. Having previously founded SmartrMail—an email platform acquired in 2022—the team leveraged their experience sending over six billion emails to create a solution built specifically for the emerging agent economy. They launched Nitrosend in 2026 to bridge the gap between AI agents and traditional email marketing infrastructure.
Alternatives
Comparison overview
vs Loops: Loops is a dashboard-first SaaS marketing tool for human operators, whereas Nitrosend is an agent-first platform that replaces traditional UIs with a headless MCP-driven interface for AI.