We build AI agents that actually work in production. From single-agent tools to complex multi-agent systems — architected, built, and shipped for startup founders.
AI agents that resolve tickets, answer questions, and escalate to humans when needed. RAG-powered, context-aware, and always available.
Orchestrated agent teams where each agent specializes in a task — research, writing, analysis, execution — working together autonomously.
AI agents that automate business processes — data extraction, document processing, email handling, report generation.
Agents that crawl data sources, analyze information, generate insights, and deliver structured reports on demand.
AI-powered outreach agents that qualify leads, personalize messages, and schedule meetings with prospects.
Agents that assist with code review, testing, deployment automation, and infrastructure monitoring.
Built a LangChain-powered multi-agent system with RAG for a non-technical founder. The system autonomously resolves 68% of support tickets. The founder raised $500K pre-seed on this product.
68%
Auto-resolved
50
Beta users (2 wks)
6 weeks
Build time
We primarily use LangChain, LangGraph, and custom agent frameworks. For LLMs: GPT-4, Claude, and open-source models. For memory and retrieval: Pinecone, Weaviate, ChromaDB. We pick the right tools for your specific use case.
Simple single-agent tools take 2-3 weeks. Multi-agent systems with RAG, memory, and tool use take 4-8 weeks. Complex autonomous workflows may take 6-10 weeks.
Yes. We build agents that integrate with APIs, databases, CRMs, email systems, Slack, and any platform with an API. Custom tool-use is a core part of agent architecture.
We build with production reliability in mind — error handling, fallback logic, human-in-the-loop escalation, monitoring, and logging. Our agents are built to fail gracefully, not silently.
Book a free discovery call. We'll map out the agent architecture and give you a clear timeline and estimate.
Book a Discovery Call