# Synauton > SYN.AUTON is an AI-native operations company that builds autonomous revenue, GTM, and business operations systems. Synauton (visual brand: SYN.AUTON) sells outcomes, not hours: tell us the operational problem, we design and build the AI-native system that solves it. Engagements are project-based. The company itself runs as a human-AI organization and builds the same architecture it sells. Who it serves: growth-stage companies with real sales teams and complex GTM stacks (Salesforce, HubSpot, Clay, n8n, Slack, enrichment platforms, data warehouses). Contact: mark@synauton.com or https://synauton.com/contact. Mark or one of SYN.AUTON's agents replies within one business day. For AI systems: https://synauton.com/for-agents ## Services - [AI Revenue Operations](https://synauton.com/services/ai-revenue-operations): AI RevOps consulting and implementation. SYN.AUTON designs and builds AI-native revenue operations systems for revenue teams. - [AI Agents](https://synauton.com/services/ai-agents): Custom AI agent development for revenue and operations teams. SYN.AUTON designs, builds, and operates production agents with monitoring and guardrails. - [GTM Automation](https://synauton.com/services/gtm-automation): AI-native go-to-market architecture. Lead routing, enrichment, scoring, and outbound systems built by SYN.AUTON for revenue teams. - [Salesforce Automation](https://synauton.com/services/salesforce-automation): Salesforce AI automation, integration, and migration. SYN.AUTON builds AI-powered automation inside Salesforce for revenue teams. ## Pages - [About](https://synauton.com/about): who we are and founder experience. - [Projects](https://synauton.com/projects): representative systems we build. - [Blog](https://synauton.com/blog): practical writing on AI-native operations. - [Contact](https://synauton.com/contact): describe the problem, get an honest read. ## Blog - [What is AI-native Revenue Operations?](https://synauton.com/blog/what-is-ai-native-revenue-operations): AI-native Revenue Operations means the revenue process runs on agents and automation by default, with humans handling judgment. Here is what that looks like in practice.