Cognitive Orchestrator
The brain that coordinates your AI Agents like an organization
Multimodal decision engine that orchestrates specialized agents (voice, text, email, APIs). Intelligent routing, context switching, long-term memory, and action execution. Not an LLM wrapper: it's the infrastructure for autonomous agents.
The problem with current AI Agents
LLMs alone are slow and expensive. They have no memory between sessions. They can't execute actions in real systems. Each vendor sells you an isolated agent. And coordinating multiple agents is a complexity nightmare.
Orchestrator coordinates agents like a company
Multi-criteria routing that assigns each task to the right agent in <100ms. Infinite context window with compressed memory. Multi-step planning with validation at each step. Orchestrated tool calling for APIs, databases, and external systems. Intelligent escalation to humans when needed.
The result: agents that act like a coordinated team
Cognitive Orchestrator Architecture
Input: text, voice, email, API request
Intent Classification: router decides which agent
Context Retrieval: memory + relevant data
Agent Selection: voice, text, ops, data
Multi-Step Planning: decomposes complex task
Tool Calling: APIs, DBs, external systems
Validation: verifies result at each step
Escalation: human if confidence < threshold
Why Orchestrator is the future of AI Agents
One LLM alone can't do the job
GPT-4 is slow, expensive, and has no memory between sessions. Orchestrator uses specialized models, intelligent cache, and memory management.
Agents need coordination
Your voice agent talks to the text agent that updates your CRM that triggers a workflow. Without Orchestrator, it's chaos.
Context is critical
A customer doesn't want to repeat their problem 3 times. Orchestrator maintains complete context across channels and sessions.
Humans are still necessary
For critical decisions, Orchestrator intelligently escalates with complete context. You don't lose the thread.
What makes IVALDI Cognitive Orchestrator different
Not an LLM wrapper with prompts
It's distributed infrastructure with specialized models, intelligent routing, and execution layer for real actions.
Enterprise-level memory management
Infinite context window with intelligent compression, semantic retrieval, and optimized storage. It forgets nothing.
Multi-step planning with validation
Decomposes complex tasks into steps, executes, validates result, and corrects if necessary. Like an excellent PM.
Complete observability
Traces, logs, metrics. You see every decision Orchestrator makes. Debugging and optimization are trivial.
How Orchestrator works in 3 steps
Define your agents and capabilities
We identify which agents you need: voice, text, email, data, ops. Each with specific capabilities. We define routing rules: which agent handles which type of request.
Configure memory and tool calling
We integrate your systems so agents can execute real actions: update CRM, query databases, trigger workflows. We configure memory management: what to save, how to compress, when to forget.
Deploy and improve with feedback loops
Orchestrator enters production coordinating your agents. We monitor decisions, routing accuracy, and task completion. The system learns from each interaction and continuously improves.
Ready to coordinate your AI Agents like a real organization?
Schedule a technical demo and we'll show you the complete architecture. For CTOs, Tech Leads, and AI Engineers.
Schedule technical Orchestrator demo