Booking projects for Q4

Software that ships. Systems that run.

We build the web apps, AI workflows, and data systems that keep running after we hand them over.

25 Successful clients
42 Projects delivered
21 Automations deployed

How a project runs

  1. 01

    Scope call

    One call to map the problem, the systems it touches, and what "done" means.

  2. 02

    Fixed proposal

    You get a written scope, a timeline, and a fixed price. No hourly surprises.

  3. 03

    Build in the open

    Weekly demos on a staging URL. You watch it get built, not read status reports.

  4. 04

    Handover

    Source, docs, and deploy access are yours, with support for the agreed window.

Three disciplines, one team

Web engineering, AI automation, and data collection under a single roof. No handoffs, no finger pointing.

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

Web Development

Web apps built to load fast, scale cleanly, and stay maintainable.

  • Custom web applications
  • Dashboards and internal tools
  • Real-time and API backends
  • Performance and refactors

Scraping & Social Tools

Data extraction and account tooling that survives contact with production.

  • Custom scraping bots
  • Data pipelines and cleanup
  • Multi-account social tooling
  • Scheduled posting and DMs

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).

Selected work

Shipped, and still running

A sample of the systems we designed, deployed, and still keep running.

AI Knowledge Platform

Crawling, embedding, and retrieval across millions of pages, so a team can ask its own archive a question and get a sourced answer.

  • LangChain
  • Pinecone
  • Puppeteer
Pages indexed
3M+
Research time
Down 80%
  • Social Operations Dashboard

    One dashboard for dozens of managed accounts, with AI drafted posts, scheduled publishing, and inbox handling.

    • Nest.js
    • React
    • Multilogin
    Accounts managed
    200+
    Posting time
    Down 90%
  • Lead Data Engine

    Scraping and enrichment pipeline pulling structured records from dozens of sources on a schedule, with proxy rotation and retries.

    • Python
    • Selenium
    • n8n
    Sources covered
    40+
    Records per month
    11M
  • Real-Time Platform Build

    Live marketplace with real-time updates, a rebuilt data model, and a front end that renders in under a second.

    • Elixir
    • Phoenix
    • PostgreSQL
    Largest paint
    4.1s to 0.8s
    Uptime
    99.9%

The stack we ship on

We pick the right tool for the job, and we have shipped production with all of them.

  • Python
  • JavaScript
  • React
  • Next.js
  • Node.js
  • Nest.js
  • LangChain
  • n8n
  • Selenium
  • PostgreSQL
  • Docker
  • AWS

What our clients say

They put our own documentation behind a chat box that cites its sources. Support answers went from ten minutes to one.
Rafael Enriquez Head of Operations, Halden Freight
The scraper has run for fourteen months without me touching it. That is the part I did not expect.
Amara Osei Data Lead, Pallas Analytics
We briefed on a Monday and had a staging build by Friday. The rebuild paid for itself in one quarter.
Joon-ho Park Product Lead, Brightline Retail

Tell us what you want built

Describe the thing you are trying to automate, build, or fix. We come back within a day.

What you want to build, and roughly when.