Our work
These are the kinds of projects we take on. We do not publish client names or outcome figures we cannot back up. Client work is confidential, so we share relevant examples in a conversation.
Product Engineering
Typical problem: Teams running processes on spreadsheets, email threads and chat messages.
What you get
How we measure it: Time per task and error rate, compared with the manual baseline you share with us.
AI Workflow Automation
Typical problem: Repetitive work such as document handling, triage and data entry.
What you get
How we measure it: Share of items handled without manual effort, and the mistakes caught in review.
Web Platforms
Typical problem: A founder or team that needs a working first version of one core workflow.
What you get
How we measure it: A real user completing the core workflow end to end, agreed before we start.
Cloud and DevOps
Typical problem: Slow, manual or fragile releases and little visibility into production.
What you get
How we measure it: Release frequency and time to recover from a failed deploy.
We agree on what will be measured before building, using your own baseline.
Client work is confidential. In a call we can walk through relevant examples and architecture, within what we are allowed to share.
A short discovery sprint or pilot lets you judge the way we work before committing to a larger scope.
Describe the problem in a few lines. We will reply with questions, a possible approach and what a first small step could look like.