Celp

Orchestrated AI agents built on your business context

Intermediate
Screenshot of Celp, Orchestrated AI agents built on your business context

What is Celp?

Celp builds interconnected ecosystems of specialized AI agents powered by a company's own business context, using interview-based knowledge extraction and orchestration to connect department-level AI into one system. Sold through a consultative, phased implementation and a partner program for agencies.

Celp is a platform for building coordinated ecosystems of AI agents that share one organization's knowledge. Rather than scattering separate assistants across departments, the service extracts a company's context and turns it into structured data that every agent in the ecosystem can draw on. The stated aim is to move artificial intelligence from isolated pilots into a connected system that spans the whole business. The process begins with knowledge extraction. Celp's methodology relies on automated interviews with a client's team plus analysis of existing documentation, assembling a knowledge base in days rather than months. That material then powers department-specific agents that communicate with one another, so the output of one can inform the work of another instead of sitting in a silo. The company also describes reinforcement learning that tracks which outcomes succeed and adapts the ecosystem over time. The build is sold as a partnership rather than a self-serve tool. Celp publishes a phased path (discovery and assessment, build and integration, activation and launch) and claims partners see measurable results within the first 30 days of implementation, though the specific percentages appear as animated placeholders in the page copy. There is also a partner program for consultancies that want to deliver Celp to their own clients, with training, revenue sharing and ongoing support included. Celp suits mid-sized and larger organizations, or agencies serving them, that have already tried disconnected AI tools and want something integrated with how the business actually operates. Buyers should expect a consultative engagement rather than a quick signup, and anyone wanting transparent, published pricing or documented third-party integrations will need to raise that on a discovery call, since the homepage covers neither.

How do you use Celp?

  1. 1Book a discovery call
    Start on the contact page and schedule a discovery call to describe your business challenges and the departments you want covered.
  2. 2Complete the knowledge extraction interviews
    Celp runs automated interviews with your team and analyzes your documentation to assemble a structured knowledge base.
  3. 3Scope the agent ecosystem
    Work with Celp to decide which department-specific agents to build and how they should communicate with each other.
  4. 4Build and integrate the agents
    Celp builds the agents on your extracted context and wires them into the existing workflow during the build and integration phase.
  5. 5Activate and refine
    Launch the ecosystem, then use the reinforcement learning feedback to identify which outcomes work and adjust agent behavior over time.

Pros and cons

Pros

  • Knowledge extraction is interview-based and documentation-driven, aiming to capture business context in days instead of monthsAI
  • Agents are designed to communicate across departments rather than operate as separate disconnected toolsAI
  • Published implementation path runs through discovery, build and activation phasesAI
  • Partner program gives consultancies training, revenue sharing and ongoing supportAI
  • Reinforcement learning layer is meant to keep the ecosystem adapting as outcomes accumulateAI

Cons

  • No public pricing information, so budgeting requires a sales conversationAI
  • No technical documentation, API details or integration list is available on the siteAI
  • Performance figures on the homepage render as placeholders with no sourced numbersAI
  • The engagement model is consultative and phased, which is heavy for a team that just wants a self-serve toolAI
  • Claims about reinforcement learning and orchestration are not backed by public technical detailAI

How much does Celp cost?

Features

Celp centers on knowledge extraction through automated team interviews and documentation analysis, then builds department-specific AI agents that share that context and communicate with one another. Other stated elements include a phased discovery, build and activation path, reinforcement learning for continuous improvement, rapid implementation in weeks, and a partner program for agencies.

Frequently asked questions about Celp

  • How do you use Celp?
    The walkthrough on this page covers 5 steps: 1. Book a discovery call 2. Complete the knowledge extraction interviews 3. Scope the agent ecosystem 4. Build and integrate the agents 5. Activate and refine.
  • What platforms does Celp support?
    Celp is available on Web App.
  • What are the limitations of Celp?
    No public pricing information, so budgeting requires a sales conversation. No technical documentation, API details or integration list is available on the site. Performance figures on the homepage render as placeholders with no sourced numbers.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid