
Lappiz is an enterprise AI orchestration platform that gives companies centralized control, security, and scalability over their artificial intelligence deployments. The platform enables no-code creation of specialized AI agents, granular user and role management, and secure integration with existing business systems, all while ensuring corporate data never leaves the organization. It provides analytics dashboards to monitor AI usage and measure operational impact across teams.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises increasingly adopt AI tools without centralized governance, leading to uncontrolled usage, data leakage risks, and inconsistent deployment across departments. IT and security teams lack the ability to define who can access AI, how it is used, and what data flows in and out, creating compliance and operational vulnerabilities.
Solution
Lappiz provides an enterprise AI orchestration platform that centralizes the management, security, and deployment of artificial intelligence across an organization. The platform enables administrators to define granular user roles, permissions, and access controls by area, team, or hierarchical level, ensuring every AI interaction is governed and auditable. Through a no-code agent builder, business users can design specialized AI assistants for specific processes without technical dependencies, while native integrations connect the platform to existing enterprise systems and data sources. Lappiz ensures corporate information remains within the organization's infrastructure, preventing data exfiltration. The platform also includes analytics capabilities that visualize AI usage patterns, measure team impact, and support data-driven optimization of AI initiatives.
Target Audience
Primary customers are enterprise IT leaders, security officers, and operations managers in mid-to-large organizations who need to deploy AI at scale while maintaining governance, security, and operational control.
Features
- No-code AI agent builder for creating specialized assistants per department or process without engineering involvement
- Granular role-based access control (RBAC) for users, teams, and hierarchical levels with customizable permission sets
- Enterprise-grade data protection that prevents corporate information from leaving the organization's infrastructure
- Native integration layer connecting AI to existing business tools, databases, and operational systems for workflow automation
- Real-time usage analytics dashboard tracking AI adoption, performance metrics, and team-level impact
- Centralized orchestration console for managing AI governance, compliance, and deployment across the entire organization