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Data · Automation · AI · Infrastructure

Accepting new projects

We build thesystems thatdo the work.

  • 01Data Engineering
  • 02Automation
  • 03AI Systems
  • 04Infrastructure

Data engineering, automation, AI and infrastructure for businesses that need to move faster.

(01)Services

What we build.

Four disciplines, one engineering team. Most projects combine more than one.

(02)Problems

Still doing it manually?

Most of our projects start with a sentence like one of these.

(03)Selected work

Selected work.

Representative systems across our four disciplines. Each started as a manual, slow or unreliable process.

All work

(04)Process

From problem to production.

A short, predictable path. You always know what happens next and what it costs.

  1. Step 01: Define

    We understand the problem, constraints and desired outcome.

  2. Step 02: Design

    We design the architecture and workflow before writing unnecessary code.

  3. Step 03: Build

    We build, test and integrate the system.

  4. Step 04: Deploy

    We put it into production and make sure it keeps working.

(05)Why us

Engineering, without the overhead.

Most technical problems don't need a large agency. They need experienced engineers who understand the problem, choose sensible tools and build something that keeps working.

  1. 01

    Small team.

    You work with the engineers building your system, not a chain of account managers.

  2. 02

    Direct communication.

    Questions go to the people who can answer them. Updates are written, clear and regular.

  3. 03

    No unnecessary layers.

    No inflated process. Only the work required to ship something that works.

  4. 04

    Production-focused engineering.

    We build for the day after launch: logging, monitoring, error handling and documentation.

  5. 05

    Flexible engagement.

    A single automation, a multi-month build or ongoing maintenance. The engagement fits the problem.

  6. 06

    Built around the actual problem.

    We recommend the simplest system that solves it. Sometimes that means less software, not more.

(06)Pricing

Start small. Scale when it works.

Transparent starting points. Every project is scoped and quoted before work begins.

Automation

01

From

$199

For simple repetitive workflows.

  • One defined workflow
  • Scheduled or triggered runs
  • Run logging
  • Handover notes

Data Extraction

02

From

$299

For custom scraping and data collection.

  • Custom extractor
  • CSV, JSON or database output
  • Cleaning and validation
  • Optional scheduled runs

AI Workflow

03

From

$499

For AI-powered business processes.

  • Model integration
  • Prompt and output design
  • Validation and review steps
  • Connection to your tools

Custom Engineering

04

From

$750

For larger systems and custom software.

  • Architecture and planning
  • Backend, APIs and databases
  • Deployment and monitoring
  • Ongoing support options

Final pricing depends on scope and complexity.

Get a fixed quote

(07)Technology

Built with the right tools.

A focused, proven stack we know deeply. We choose tools for the problem, not the other way around.

Languages & runtime
PythonTypeScriptNode.js
Data & automation
PostgreSQLPlaywright
Infrastructure
DockerAWSCloudflare
AI & integration
OpenAIAnthropicREST APIsWebhooks

(08)FAQ

Before you ask.

Something else on your mind? Ask us directly.

Data extraction, automation, AI integration and backend infrastructure — from a single workflow to a multi-month build. If a process is repetitive, manual or technically difficult, it is probably a fit.

(09)Start a project

Have a processthat shouldrun itself?

Tell us what is slowing you down. We’ll figure out what can be automated, engineered or rebuilt.