Custom AI Agent Development
Build autonomous AI agents tailored to your business processes. From customer support agents to internal workflow automation — each agent is designed for a specific job and deployed with proper guardrails.
- Task-specific autonomous agents
- Tool-using agents with MCP integration
- Agent monitoring, logging, and observability
- Human-in-the-loop safety controls
Multi-Agent Systems
Orchestrate teams of AI agents that collaborate on complex tasks. Built on frameworks like CrewAI, LangGraph, and AutoGen with proper coordination, error handling, and fallback strategies.
- Multi-agent orchestration and coordination
- Agent-to-Agent (A2A) protocol implementation
- Supervisor and routing agent patterns
- Scalable agent deployment infrastructure
RAG & Knowledge Systems
Connect LLMs to your proprietary data with production-grade RAG systems. From chunking strategy to vector database selection to retrieval optimization — we handle the full pipeline.
- RAG architecture design and implementation
- Vector database setup (Pinecone, Weaviate, pgvector)
- Chunking and embedding optimization
- Hybrid search and reranking
Chatbot & Voice AI
Customer-facing chatbots and voice agents that understand context, handle complex queries, and integrate with your CRM, ticketing, and knowledge systems.
- Conversational AI for customer support
- Voice AI agents for phone automation
- Omnichannel deployment (web, Slack, WhatsApp)
- CRM and ticketing system integration
LLM Fine-Tuning & MCP Development
Fine-tune open-source models for your domain and build MCP servers that connect AI agents to your tools and data.
- LoRA/QLoRA fine-tuning for domain-specific models
- Custom MCP server development
- Model evaluation and benchmarking
- On-premise deployment options
Who This Is For
Deep Dive
Read the full guide on our blog →