The Kore.ai Agent Platform

Intelligently routes tasks across specialized agents, enabling operations from rule-based guidance to fully autonomous reasoning.

Ensures seamless tool usage, contextual retrieval, and persistent memory while upholding privacy.

Connects agents to enterprise knowledge via APIs and RAG, enabling dynamic access and informed decision-making.

Visually build and debug AI agent workflows without coding. Track each task executed and find errors.

Enforce AI compliance with custom business rules. Prevent unauthorized actions and ensure data security.

Test AI for accuracy, relevance, and bias without code. Continuously refine models with custom evaluators.

Dynamically break down complex user queries into structured subtasks with AI agents, selecting optimal search parameters and filters at each step to retrieve the most relevant, context-aware information.

Store and recall context from ongoing conversations with short-term memory and retain user-specific details to rephrase user questions with long-term memory.

Comprehensive system for connecting agents with enterprise applications, featuring 100+ pre-built deep integrations and visual tools to develop custom integrations without extensive coding.

Empower your team to integrate, manage, and orchestrate multiple AI models, whether open-source, commercial, or fine-tuned, within unified agentic workflows.

Experiment with and compare prompts across multiple AI models to achieve optimal performance and business outcomes, or choose from 75+ pre-built prompts.

Continuously monitor, refine, and optimize AI agent performance during build time. Drive better outcomes with real-time insights and model adjustments.

Captures execution details, logs system interactions, and integrates with application performance monitoring.

Enables real-time tracking, API triggers, multimodal monitoring, and human oversight for accuracy and control.

Supports external agents, enterprise systems, versioning, deployments, and SDKs for direct application control.

Manage permissions with a structured role-based access control (RBAC) system, granting users access to AI agent settings based on roles to enhance security and compliance.

Enforce AI safety and compliance with configurable guardrails to ban certain topics, minimize toxic AI responses, and comply with company AI policies.

Ensure data security with PII masking, controlled information exchange, and IP protection. Maintain compliance with robust data anonymization.