Built in Germany.
Engineered for Production.
Curviate began as internal tooling designed for a specific, difficult task: building AI agents and running automated operations on LinkedIn. Today, it is a standalone platform, but its core remains unchanged. It is driven by real, high-volume production workloads every single day.
The LinkedIn challenge.
LinkedIn is a critical professional network, yet it remains one of the hardest platforms for developers to build against. The official API is tightly restricted, traditional scrapers break constantly, and standard browser-automation frameworks are locked in a permanent arms race with detection systems.
This friction became clear during client engagements for AI-agent development. Across multiple projects, clients consistently needed unread-inbox monitoring, programmatic messaging, and clean profile enrichment. Every existing workaround was too fragile for production.
Curviate was built to solve this. It provides a clean, programmable interface to LinkedIn via a single token across four native interfaces: REST, CLI, MCP, and SDK.
Curviate is intentionally lean. There are no bloated feature roadmaps or enterprise sales cycles. It is simply a reliable, production-ready gateway to the professional web.
Meet the founder.
Curviate is built and led by an experienced operator working at the intersection of AI agents, automation, and go-to-market systems.
Hi, I'm Raphael.
I work at the intersection of AI agents, automation, and go-to-market systems, and I run an AI-driven agency building intelligent agents for sourcing, operations, and growth. Curviate grew directly out of that agency work.
Every workflow we built for clients hit the same wall: LinkedIn is a closed ecosystem, and we lost more time fixing broken integrations than building product. Curviate is the infrastructure I needed but couldn't find.
If you're building agent-driven workflows or just need a stable way to connect LinkedIn to your stack, let's connect.