Celp AI builds integrated ecosystems of specialized AI agents that are tailored to a company’s own business context. By extracting and structuring an organization’s knowledge, the platform creates department‑specific agents that collaborate through an orchestration layer, turning isolated AI experiments into a unified system that delivers immediate value across the enterprise. This approach enables businesses to embed AI directly into operations rather than using it as a separate tool.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often have siloed data and fragmented AI pilots that fail to integrate with existing workflows, resulting in limited insight reuse and slow decision‑making across departments.
Solution
Celp AI provides an orchestration platform that builds cohesive ecosystems of specialized AI agents tailored to each department’s knowledge. The service first extracts and structures a company’s unique business context, then creates custom agents that understand that domain. These agents are connected through a central orchestration layer, enabling them to share information and collaborate on tasks. The unified system delivers actionable intelligence directly within existing workflows, reducing the need for separate AI projects and accelerating operational efficiency. By embedding AI throughout the organization, Celp AI turns isolated experiments into a consistent, organization‑wide capability.
Target Audience
Primary customers are mid‑size to large enterprises seeking to embed AI across multiple functional units, such as operations, finance, and customer experience teams.
Features
- Automated extraction and structuring of enterprise-specific business knowledge to feed AI agents
- Department‑focused AI agents (e.g., sales, finance, operations) that operate on contextual data
- Central orchestration layer that coordinates agent interactions and ensures consistent outputs
- Seamless integration points for embedding AI insights into existing tools and processes
- Real‑time data sharing between agents to avoid duplication and improve cross‑functional decision making
- Scalable architecture that supports adding new agents as business needs evolve