AI Development · Agents · Automation

AI agent development services for real business workflows.

We build autonomous AI agents that reason, plan, and execute tasks using your tools and data. Multi-agent orchestration, RAG pipelines, and safety guardrails — built for production.

Agents that work, not just chat

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Autonomous Agents

AI systems that reason about complex tasks, break them into steps, use tools, and execute until the job is done. From customer support triage to data analysis to code review.

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Multi-Agent Orchestration

Specialized agents that collaborate — one researches, another analyzes, a third acts. Coordinated workflows where each agent does what it's best at.

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RAG Pipelines

Retrieval-augmented generation that grounds agents in your data. Connect internal documents, knowledge bases, and databases so agents give accurate, sourced answers.

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Safety & Guardrails

Output validation, action boundaries, human-in-the-loop approval, audit logging, and monitoring. Every agent ships with explicit constraints and production observability.

Prototype fast, ship safe

01 — Scope

Define agent capabilities

We map the tasks your agent will handle, the tools it needs, the boundaries it must respect, and the success criteria. Clear scope prevents hallucination-driven scope creep.

02 — Build

Iterative agent development

We build agents incrementally — starting with a single capability, testing on real data, and expanding. Each iteration includes evaluation benchmarks and safety testing.

03 — Deploy

Production with monitoring

Agents deploy with full observability — trace logging, performance metrics, cost tracking, and safety dashboards. You see exactly what your agent is doing and why.

The AI stack

Claude GPT-4 LangChain LangGraph CrewAI Python pgvector FastAPI MCP Anthropic SDK OpenAI SDK Docker

Frequently asked questions

An AI agent is a system that uses a large language model to reason about tasks, plan multi-step actions, and execute them using tools. Unlike a chatbot that just answers questions, an agent can search databases, call APIs, write code, send emails, and make decisions autonomously within defined boundaries.
A chatbot responds to messages in a conversation. An agent takes action. It can reason about complex problems, break them into steps, use tools (APIs, databases, file systems), handle errors, and loop until a task is complete. Chatbots talk; agents do.
Yes. We connect agents to your existing tools via APIs, MCP servers, and custom integrations. Your CRM, database, email, project management, and internal APIs become tools the agent can use to complete tasks autonomously.
Every agent ships with guardrails: output validation, action approval flows for high-risk operations, rate limiting, audit logging, and human-in-the-loop escalation. We define explicit boundaries for what an agent can and cannot do, and monitor behavior in production.
A focused single-purpose agent takes 2-4 weeks. Multi-agent systems with tool integration, RAG pipelines, and safety layers take 6-12 weeks. We prototype fast and iterate based on real-world performance.

Ready to build your AI agent?

Tell us what you want automated. We'll design the agent architecture.