We build AI agents that don't just answer questions — they take action. From single-purpose task runners to multi-agent pipelines that plan, execute, and self-correct across your entire tech stack.
A modern AI agent is more than a chatbot — it's a reasoning engine equipped with tools. It can browse the web, query your database, call third-party APIs, write and execute code, and hand off work to other specialized agents. We design, build, and deploy these systems to replace repetitive knowledge-work.
Each agent is purpose-built for a specific class of work.
Browse the web, read PDFs, scrape competitors, and synthesize market intelligence into structured reports — on demand or on a schedule.
Enrich leads, personalize cold emails using real-time company data, schedule follow-ups, and log everything to your CRM — without a human touching it.
Read inbound tickets, classify urgency, look up account history, draft responses, and route to the right team — cutting handle time dramatically.
Write tests, open PRs, read CI logs, diagnose failures, and apply fixes — autonomous developer assistants that live in your GitHub workflow.
Extract, transform, and load data between sources — with built-in anomaly detection, schema validation, and natural-language querying of your warehouse.
Review contracts, extract key terms, flag non-standard clauses, generate summaries, and route for approval — legal and ops workflows at machine speed.
Agents are only as powerful as the tools they can call. We connect your agents to the platforms your business already runs on — so they can take real action, not just produce text.
Breaking task into 3 steps. Dispatching sub-agents…
Found 12 sources. Extracted key pricing data.
Report drafted. 3 key insights surfaced.
Posted to #strategy. Notion page created.
We use the right tools for the right job — battle-tested frameworks with production-grade reliability.
Stateful, cyclical agent graphs with built-in checkpointing and human-in-the-loop support. Our default for complex multi-step agents that need to plan, reflect, and retry.
Role-based multi-agent crews with clear responsibilities, delegation, and task memory. Great for business process automation where agents mirror org structure.
Embed AI agents directly inside your existing n8n automation workflows. Ideal when you need to augment current processes without a full rebuild.
Model Context Protocol servers that give Claude structured access to your internal tools, databases, and APIs — enabling agents to interact safely with your systems.
Playwright + LLM-based control for agents that need to navigate real websites, fill forms, extract data, or test your app — without a human at the keyboard.
Every production agent we build includes output validation, loop detection, cost limits, audit logging, and LangSmith traces — so you always know what your agent did and why.
Tell us the workflow you want to automate. We'll scope the agent architecture, tooling, and delivery timeline — free.
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