RAG & Automation
Agents, retrieval, and workflows that make your own data answerable.
- RAG over your documents
- Multi-agent LLM workflows
- n8n and workflow automation
- Chatbots and voice agents
We build the web apps, AI workflows, and data systems that keep running after we hand them over.
One call to map the problem, the systems it touches, and what "done" means.
You get a written scope, a timeline, and a fixed price. No hourly surprises.
Weekly demos on a staging URL. You watch it get built, not read status reports.
Source, docs, and deploy access are yours, with support for the agreed window.
Web engineering, AI automation, and data collection under a single roof. No handoffs, no finger pointing.
Agents, retrieval, and workflows that make your own data answerable.
Web apps built to load fast, scale cleanly, and stay maintainable.
Data extraction and account tooling that survives contact with production.
Also in the toolkit: data engineering (Spark, Delta Lake, Unity Catalog), cloud and DevOps (AWS, Azure, Docker, CI/CD), payment and booking integrations (Stripe, Square, QuickBooks, Calendly, Twilio), and real-time apps (Phoenix LiveView, WebSockets).
A sample of the systems we designed, deployed, and still keep running.
Crawling, embedding, and retrieval across millions of pages, so a team can ask its own archive a question and get a sourced answer.
One dashboard for dozens of managed accounts, with AI drafted posts, scheduled publishing, and inbox handling.
Scraping and enrichment pipeline pulling structured records from dozens of sources on a schedule, with proxy rotation and retries.
Live marketplace with real-time updates, a rebuilt data model, and a front end that renders in under a second.
We pick the right tool for the job, and we have shipped production with all of them.
They put our own documentation behind a chat box that cites its sources. Support answers went from ten minutes to one.
The scraper has run for fourteen months without me touching it. That is the part I did not expect.
We briefed on a Monday and had a staging build by Friday. The rebuild paid for itself in one quarter.
Describe the thing you are trying to automate, build, or fix. We come back within a day.