Product Engineering
Full products, built end to end — from first Figma frame to a production deploy your users can hit.
- SaaS platforms
- MVP builds
- Web applications
- E-commerce & marketplaces
- Dashboards & internal tools
Services
Three ways
to ship together.
Engagements are scoped tightly and shipped to production. No retainers that quietly become maintenance contracts.
AI & Automation
LLM features and agent workflows that are grounded, observable and actually useful in production.
- AI product features
- LLM integrations
- AI agents & workflows
- RAG pipelines
- Workflow automation
Systems & Infrastructure
The unglamorous machinery underneath: APIs, data, deploys and the performance work nobody sees until it's missing.
- Backend APIs & services
- Database design & migrations
- Real-time sync & queues
- Platform integrations
- Performance optimization
Process
How an engagement runs.
- 01
Scope
A call, then a written brief: what we're building, what we're deliberately not building, and what done looks like.
- 02
Architect
Data model, service boundaries and deploy story decided before the first component — the decisions that are expensive to change later.
- 03
Build
Shipping to a real environment from week one. You see progress running, not in a status update.
- 04
Harden
Instrumentation, error paths, performance and the migration story. The part that separates a demo from a product.
- 05
Hand over
Documentation, runbooks and a walkthrough — so the system outlives the engagement.