What we do
AI-native engineering across the whole product lifecycle
One accountable team — from model evaluation to the on-call rotation — so nothing falls between vendors.
AI & Machine Learning
From retrieval-augmented assistants to forecasting models and document intelligence — shipped with evaluation harnesses and human-in-the-loop approval, not demos.
- LLM assistants & RAG
- Predictive & vision models
- MLOps and monitoring
Custom Software Engineering
Web platforms, internal tools and APIs built to your business logic, with AI features designed in from day one — not bolted on after launch.
- React / Node / Python
- AI-assisted development
- Legacy system modernization
Mobile Applications
Native-feeling iOS and Android products with on-device intelligence, an offline-first data layer, and release pipelines your team can actually operate.
- React Native & Flutter
- On-device AI & offline sync
- App store delivery
Cloud & DevOps
Infrastructure as code, CI/CD and AI-driven anomaly detection so releases stop being events. We hand over runbooks, not mysteries.
- AWS / Azure / GCP
- Kubernetes & Terraform
- Predictive observability
Product Design
Discovery workshops and AI-accelerated prototyping that turn a rough idea into a costed scope your stakeholders can sign off on in days, not weeks.
- Discovery sprints
- Rapid AI prototyping
- Usability testing
Dedicated Teams
Senior engineers fluent in modern AI tooling, embedded in your process and timezone overlap, reporting into your leads — scaled up or down quarterly.
- Vetted senior talent
- Your tooling & rituals
- Flexible contracts
How we work
From scope to sprint to support
Scope
A fixed-price discovery sprint turns a rough idea into a costed plan — you see the scope and the number before committing to anything bigger.
Sprint
Two-week sprints, demoed live. Every sprint ships something you can click through, not a status update in a meeting.
Ship
Code you own outright, deployed to your infrastructure, with tests and documentation written in from day one — not bolted on at the end.
Support
Runbooks and training handed over at launch, with optional ongoing support and SLAs for the teams that want us to stay close.
FAQ
Questions we hear before kickoff
How do you price a project?
Most engagements start with a fixed-price discovery sprint that scopes the build and gives you a number before you commit further. Typical project budgets range from under $25k for a focused build to $200k+ for larger platforms, and dedicated teams are billed on flexible monthly contracts.
How long does a typical engagement take?
We work in two-week sprints with a demo at the end of each one, so you see progress continuously rather than at the end. First releases have gone live in as little as nine weeks, though larger platforms run longer — the discovery sprint gives you a real timeline, not a guess.
Who owns the code and the intellectual property?
You do, outright. Code is delivered to your own repositories and infrastructure, with no vendor lock-in and no licensing surprises after launch.
Can your engineers work inside our existing team?
Yes — our Dedicated Teams service embeds senior engineers directly into your process, tooling and timezone overlap, reporting to your leads rather than running as a separate workstream.
Do you work with companies outside the United States?
Yes — we serve clients across the US, UK, Australia and beyond, with engineering coverage built around each client’s working hours.
What happens after launch?
We hand over runbooks and train your team to operate what we built, and offer optional ongoing support, monitoring and SLAs for teams that want us to stay involved rather than disappear after go-live.
Not sure which service fits?
Tell us what you're building. A principal engineer will scope it with you on the first call — free, and no sales team in between.
Start a project