the Kore.ai Agent Platform
AI Services
Enable intelligent agentic operations
Agentic AI System
Build and orchestrate AI agents to automate complex, knowledge-intensive workflows seamlessly with no-code.
Accelerate AI Innovation
Launch agentic AI projects faster with cutting-edge model customization, specialized AI engines, and seamless deployment tools. Whether you need advanced fine-tuning, custom AI support, or robust utilities, our platform empowers you to build, optimize, and scale AI solutions effortlessly.
Specialized AI Engines
Power your AI applications with an Enterprise-Grade RAG Engine for secure, context-aware access, an Agentic Reasoning Engine for advanced decision-making and orchestration, and an Advanced Conversation Engine for seamless multi-turn dialogues across channels.
Custom Model Factory
Enhance your AI models with advanced fine-tuning for domain specialization, reinforcement learning with AI and human feedback, automated optimization, one-click deployment with inference enhancements, and LoRA adapters for efficient model customization.
AI Model Support
Leverage XO-GPT custom fine-tuned models for domain-specific use cases, access a robust Model Hub, seamlessly integrate with a model-agnostic architecture, and maintain precise control over AI model deployment, versioning, and sophisticated routing mechanisms.
AI Tools & Utilities
Deploy global or custom-built functions that empower AI agents to operate autonomously, execute complex tasks with precision, and seamlessly integrate with dynamic workflows. Maintain full control over tool selection, execution parameters, and adaptive decision-making for optimized performance.
AI Monitoring & Learning
Ensure AI reliability and transparency with continuous AI monitoring, performance analytics, and detailed interaction tracing. Leverage advanced explainability, robust safety guardrails, and automated evaluation frameworks for compliance, security, and business-specific optimization.
Gain actionable AI insights from analytics
- Track agent performance with real-time agent analytics dashboards.
- Gain full control over your AI model costs and track response latency with detailed AI model analytics.
- Provide visibility from all events including logins and model changes with time-stamped audit logs.
- Visualize model performance over time to avoid model drift and agent degradation over time.
Improve agents with learning pipelines
- Design adaptive workflows that track AI interactions, identifying trends and performance bottlenecks.
- Leverage human feedback loops to fine-tune AI models and enhance decision-making accuracy.
- Continuously refine agent behaviors based on multiple scenarios and user persona-based testing.
- Automate data ingestion and model retraining to ensure AI agents evolve with business needs.
Visualize AI agent workflows
- Visualize every step of the AI agent workflow and quickly identify where tasks break down.
- Troubleshoot AI agent bugs faster with detailed inputs and outputs during a workflow execution.
- View token usage and latency of every task within an AI agent workflow to optimize performance.
- Test various inputs and outputs to ensure AI agents are achieving desired outcomes.
Monitor LLM calls with detailed AI insights
- Track every AI model interaction, including inputs, outputs, and decision pathways for full transparency.
- Continuously observe LLM calls and orchestration workflows, ensuring optimal AI behavior.
- Evaluate whether AI models provide accurate, compliant, and unbiased responses.
- Detect anomalies, bottlenecks, and performance deviations early, enabling swift troubleshooting.
Provide responsible AI
- Make AI agent decisions clear and explainable so users understand outputs.
- Detect and prevent bias in AI responses with prebuilt enterprise bias guardrails.
- Ban topics that don’t comply with company policies with prebuilt scanners.
- Create your own custom guardrails to enforce AI governance and comply with GDPR or SOC2.
Evaluate AI agent performance
- Ensure LLM outputs maintain accuracy and relevance based on input data, eliminating contradictions.
- Train models to be fair, reducing discrimination and ensuring equitable outcomes.
- Secure private data with data encryption, compliance, and strict access controls.
- Maintain human oversight with audit trails, governance, and role-based access control.
See what others are saying
We’ve worked with some of the best. Their words count more than ours.
HR Digital Enablement
Energy
Lead Architect
Commercial Services Lead
Healthcare
Resources
Blog Post
The Future of Enterprise AI: Why You Need to Start Thinking About Agent Networks Today
White Paper
Unleash the Power of Agentic AI for Enterprise Workflows
Whitepaper
Scale Your Enterprise with AI Agents
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