LangChain and CrewAI Automation
We develop custom AI agents using LangChain and CrewAI to automate complex tasks with context-aware intelligence.
Custom AI Agents
We build task-specific agents for support, research, content, and more.
Advanced Reasoning
Agents that can think, plan, and act—beyond simple prompts.
Multi-Tool Integration
Connects to APIs, databases, PDFs, and your business tools.
LLM + Tool Use
Agents use tools like Google Search, Zapier, or custom logic chains.
Secure Deployment
Self-hosted or private deployments to keep your data safe.
Agent Monitoring
We add guardrails and logging to keep things under control.
Our Stack
DEVELOPMENT PROCESS
Our structured approach
to building and launching custom AI agents
01
Use Case Mapping
Define the task, context, and toolset your agent needs.
02
Agent Design
Choose between LangChain and CrewAI; design workflows and logic.
03
Tool Integration
Connect the agent with APIs, vector DBs, and tools like browser or Python.
04
Testing in Sandbox
Simulate real-world scenarios and fine-tune performance.
05
Secure Deployment
Deploy via FastAPI, Vercel, or Docker with proper monitoring.
06
Monitoring & Iteration
Track logs, edge cases, and improve with usage data.
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LangChain and CrewAI Automation FAQ
LangChain is great for single-agent logic; CrewAI is better for multi-agent, role-based systems.