AI Agent Development Services
Overview
We design and build production-grade AI agents tailored to your business needs. Whether you need internal agents to automate operations, customer-facing chatbots to handle support and sales, or intelligent systems that surface insights from your data — we deliver end-to-end.
What We Build
Internal AI Agents
Autonomous agents that live inside your organization and handle the heavy lifting:
- Document Processing Agents — Automatically extract, classify, and route documents
- Workflow Automation Agents — Handle multi-step approval flows, notifications, and task orchestration
- Code Review & Developer Tooling — AI agents that review PRs, suggest improvements, and automate repetitive dev tasks using frameworks like DeepAgents
- Knowledge Base Agents — Connect to your internal docs and answer team questions instantly
Customer-Facing Chatbots
Production-ready conversational AI that serves your customers 24/7:
- Support chatbots integrated with your ticketing system
- Sales and lead qualification bots
- Onboarding and product guidance assistants
- Multilingual support (English + Bahasa Malaysia)
AI-Powered Data Insights
Securely connect AI agents to your existing databases to unlock insights:
- Natural language querying — ask questions, get answers from your data
- Automated anomaly detection and trend analysis
- On-demand report generation
- Data-driven recommendations
All connections are read-only by default with query validation, access controls, and audit logging.
Technology Stack
| Layer | Technologies |
|---|---|
| Agent Frameworks | LangGraph, DeepAgents, Pydantic AI, CrewAI |
| Foundation Models | OpenAI GPT-4, Claude, Amazon Bedrock, open-source models |
| Vector Databases | PostgreSQL (pgvector), ChromaDB |
| Backend | FastAPI, Hono, Node.js |
| Infrastructure | AWS, Docker, self-hosted options |
Advanced Patterns We Implement
Recursive Language Models (RLM)
Instead of single-pass generation, RLM agents recursively decompose problems into subproblems, solve each one, and compose the results. This produces higher quality outputs for complex tasks like multi-step reasoning, code generation, and structured document analysis.
DeepAgents — Self-Hostable Agentic Framework
DeepAgents is an open-source framework for building autonomous task execution agents, similar in concept to Claude Code. It can reason through complex tasks, break them down, write and execute code, and interact with external systems. We use it to build:
- Internal developer productivity tools
- Automated code review and refactoring pipelines
- Task execution agents that run on your own infrastructure
Multi-Agent Orchestration
We build systems where multiple specialized agents collaborate — a researcher agent gathers information, a planner agent designs the approach, an executor agent carries it out, and a reviewer agent validates the results.
Human-in-the-Loop Workflows
Agents that know when to pause and escalate to humans. Critical decisions always get human oversight while routine tasks run autonomously.
Who This Is For
- Startups looking to automate operations without hiring large teams
- SMEs wanting to unlock insights from their existing data
- Enterprises needing secure, compliant AI agent deployments
- Tech teams wanting to augment developer productivity with AI tooling