Custom AI Agents & Agentic AI
We design and deploy autonomous AI agents that reason, plan, use tools, and complete real tasks — moving your organization from chatbots that answer to agents that act. From single-purpose assistants to coordinated multi-agent systems, we build agentic software with the guardrails, memory, and observability that production demands.
What we deliver
- Custom AI agents for education, workflow automation, research, and customer experience
- Multi-agent orchestration with task decomposition and specialized sub-agents
- Retrieval-augmented generation (RAG) grounded in your private knowledge base
- Tool use / function calling and Model Context Protocol (MCP) integrations to your systems
- Long-term memory, human-in-the-loop approval, and safety guardrails
- Evaluation, tracing, and observability for reliable, auditable behavior
Technical stack
- Frameworks
- LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Model Context Protocol (MCP)
- Retrieval / memory
- Pinecone, Weaviate, Milvus, pgvector, FAISS; hybrid & semantic search
- Models
- OpenAI, Anthropic Claude, Google Gemini, Llama, Mistral, Qwen — plus private/self-hosted
- Reliability
- Guardrails, evaluation harnesses, tracing/observability, human-in-the-loop checkpoints
- Governance
- Bounded permissions, decision logging, sandboxing, compliance-first architecture
Custom AI Agents & Agentic AI — questions
What does Custom AI Agents & Agentic AI include at Kenzed Tech Lab?
We design and deploy autonomous AI agents that reason, plan, use tools, and complete real tasks — moving your organization from chatbots that answer to agents that act. From single-purpose assistants to coordinated multi-agent systems, we build agentic software with the guardrails, memory, and observability that production demands.
What does Kenzed Tech Lab deliver for Custom AI Agents & Agentic AI?
Engagements typically deliver custom AI agents for education, workflow automation, research, and customer experience; multi-agent orchestration with task decomposition and specialized sub-agents; retrieval-augmented generation (RAG) grounded in your private knowledge base; tool use / function calling and Model Context Protocol (MCP) integrations to your systems; long-term memory, human-in-the-loop approval, and safety guardrails; evaluation, tracing, and observability for reliable, auditable behavior.
Which tools does Kenzed Tech Lab use for Custom AI Agents & Agentic AI?
Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Model Context Protocol (MCP). Tool choice is an architecture decision taken per project rather than a fixed template.
How much does Custom AI Agents & Agentic AI cost?
Kenzed Tech Lab does not publish a price list for this work, because scope, integrations, data volume and hosting move the number too far for a printed tier to be honest. Scope is agreed first, then quoted.
How do I start a Custom AI Agents & Agentic AI project?
Email [email protected] or call +91 76990 01138. The first step is a scoping conversation.