Capabilities · seven practices
Seven practices. One team. The whole system.
01Where are you starting from?
Every engagement starts from a situation, not a service list.
- 01
Starting something new
You have an idea, a deadline and no system yet.
First step
A fixed-scope discovery: users, risks, architecture and a plan you can take to your board.
- 02
Rescuing or modernizing
It works, mostly. Nobody wants to touch it.
First step
A codebase assessment: what exists, what’s at risk, and the order to change it in.
- 03
Putting AI into production
The demo impressed. Now it has to be reliable, affordable and safe.
First step
A feasibility sprint against your real data, ending in a go/no-go with evidence.
- 04
Scaling and hardening
Growth, audits or incidents are exposing the platform.
First step
A platform and security review with a prioritized plan.
- 05
Connecting devices and real time
Things in the field need software that keeps up with them.
First step
An architecture session with your hardware team, and a simulated fleet from week one.
- 06
Keeping it running
You need a team that stays after launch.
First step
A care plan: patches, upgrades, restore tests and reviews on a calendar.
02The practices
The practices
01
Product Engineering
Web, mobile and desktop products, SaaS platforms and enterprise systems, from first release to the version a business runs on.
Web applications · iOS and Android apps · Desktop apps (Tauri, Electron, native) · SaaS and multi-tenant platforms · Enterprise systems and internal tools
02
Applied AI & Data
AI features, assistants and agents that hold up in production: grounded in your data, measured before they ship and watched after.
LLM features and assistants · AI agents and workflow automation · Retrieval and search (RAG) · Evaluation and monitoring · Document, speech and vision pipelines
03
Cloud & Platform Engineering
Cloud-native architecture, distributed systems and delivery pipelines: infrastructure that scales, recovers and stays affordable.
Cloud-native architecture · Distributed and event-driven systems · Edge and serverless platforms · Infrastructure as code · CI/CD and developer platforms
04
Security & Reliability
Secure architecture, application security and reliability engineering, built into systems, not bolted on before an audit.
Secure architecture reviews · Threat modeling · Application and cloud security reviews · Identity, SSO and access control · Secrets and supply-chain hygiene
05
Connected & Real-time Systems
IoT platforms, telemetry and real-time applications: software that talks to devices, streams and people as things happen.
IoT device-to-cloud platforms · Telemetry and time-series data · Real-time apps and collaboration · Streaming and event processing · Edge applications
06
Product & Experience Design
Product strategy, UX and interface design, prototyping and design systems, decided with the engineers who will build them.
Product strategy and discovery · User research and testing · UX and interaction design · Interface and visual design · Prototyping
07
Modernization & Care
Codebase takeovers, legacy modernization and long-term maintenance, for software that has to keep running while it changes.
Codebase takeover and rescue · Technical due diligence · Legacy modernization · Re-platforming and migrations · Dependency and framework upgrades
The stack behind it
211 technologies, across every layer of the system.
- TypeScript
- React Native
- Next.js
- Swift
- Kotlin
- Node.js
- Python
- Go
- PostgreSQL
- Redis
- Google Cloud
- Cloudflare
- Docker
- Kubernetes
- Terraform
- MQTT
From 11 layers: interfaces, services, data, AI, cloud, delivery, security, integrations and connected devices.
Start a conversation
Not sure which practice you need?
Most people aren’t. Describe the situation and we’ll tell you which parts of the system it touches, and which it doesn’t.