platoseed
We help non-technical teams build AI agents without engineers
Nexus enables non-technical teams in large organizations to build production-ready AI agents without code.
Nexus positions itself as the enterprise AI infrastructure layer that connects every system to every agent, enabling business teams to transform workflows into autonomous AI agents without engineering. It emphasizes rapid deployment, security certifications, and measurable business outcomes for large enterprises.
Nexus provides an infrastructure layer that connects existing systems and models to enable business teams to build, deploy, and manage autonomous AI agents. It offers a reusable building-block approach where each system, model, and permission is turned into components that teams can assemble into agents, with IT handling setup and governance. The platform emphasizes a single layer that requires no migration or replacement of current tools, and promises production-ready agents within weeks, plus live demos and case studies demonstrating deployment across regions and use cases.
Who it’s for: Enterprises and large organizations with non-technical business teams seeking to deploy AI-powered automation and agents across workflows, with emphasis on security and governance (SOC 2, ISO certifications).
Customers: Orange Group
funding (seed), enterprise deployments, case studies with a large telco client, multiple certifications
Aerospace engineer and ex-McKinsey consultant turned startup founder, now building NexusGPT—the enterprise no-code platform for AI agents. Currently helping 10+ large enterprises (Orange, Waterland Private Equity, etc.) automate and scale with AI. Passionate about agentic workflows, lean operations, and democratizing AI for business teams. Always up for swapping startup war stories or talking about the future of work.
Build agent without waiting for the engineering team
Nexus offers a no-code platform for business teams to build production-ready AI agents that integrate with their tech stack and run complex workflows. It targets enterprises seeking faster, scalable AI deployment without engineering backlogs, claiming measurable improvements in adoption speed and reliability.

Reliable Web Agents for Enterprise

AI Agents that automate enterprise software processes