AI Agent Engineering

AI That Works While You Sleep.Autonomous Agents for Real Business Outcomes.

We design and engineer production AI agent systems. From single-agent tools to multi-agent architectures with memory, tool use, and autonomous decision-making.

Agent Architectures We Build

Each architecture is chosen based on your use case, latency requirements, and reliability needs.

ArchitectureBest ForComplexityLatencyReliability
Single-Agent SystemsFocused tasks with clear boundaries (customer support, data extraction)LowLowHigh
Multi-Agent OrchestrationComplex workflows requiring coordination (document processing, research)Medium-HighMediumMedium-High
RAG-Augmented AgentsKnowledge-intensive tasks with retrieval (legal analysis, compliance)MediumMediumHigh
Autonomous Agent NetworksLong-running processes with dynamic decision-making (supply chain, monitoring)HighVariableMedium (requires guardrails)

Agent Tech Stack

LLM Frameworks

  • • LangChain
  • • LlamaIndex
  • • CrewAI
  • • AutoGen

Vector Stores

  • • ChromaDB
  • • Pinecone
  • • Weaviate
  • • Qdrant

Orchestration

  • • LangGraph
  • • Temporal
  • • Airflow
  • • Prefect

Infrastructure

  • • AWS Bedrock
  • • Azure AI
  • • GCP Vertex
  • • Docker

Agent Systems Delivered

Multi-Agent Customer Support

GPT-4 powered triage, routing, and response system handling 10K+ tickets/month

70% reduction in response time →

RAG Document Processing Agent

LLM-powered contract analysis with retrieval-augmented generation

Review time from 4h to 12min →

Talk to an AI Product Engineering Team

Share your product goals and constraints, and we will map the fastest path to a production-ready AI solution. Get clear technical guidance, delivery scope, and practical next steps from our team.

Regional contact details