AI engineering
- Discovery with the people who do the work
- Evaluation criteria agreed before the build
- Pilots with human review before wider rollout
- Quality and cost monitored in production
How we work
Where quality meets velocity
A delivery model built for teams that need to move quickly without losing control: discovery first, short release cycles, and full visibility from kickoff to production.
Our process
From discovery to delivery
Weeks 1–2
Discover
Objective workshops, infrastructure assessment, stakeholder interviews and agreed success metrics.
Weeks 2–3
Design
Solution architecture, technology selection, design system and prototypes tested with real users.
Sprints
Develop
Distributed Agile sprints with bi-weekly releases, CI/CD, automated testing and quality gates.
Continuous
Deploy
Blue-green and canary releases, automated security scans and documented rollback paths.
Ongoing
Optimize
Monitoring, FinOps cost control, experimentation and improvement against the agreed metrics.
Distributed Agile
Four principles that make it work
Frequent, visible progress
Bi-weekly (or weekly) releases, so you see working software rather than status reports.
Real-time project visibility
Shared boards, daily stand-ups, sprint reviews and dashboards that keep every stakeholder informed.
One team across two locations
Onshore strategic leadership with an engineering hub in Hyderabad — one accountable team, overlapping hours.
Quality built in
CI/CD pipelines, automated tests and review gates from the first sprint, not added at the end.
By service
How delivery adapts to the work
Web & applications
- User-centred design sprints
- Headless CMS and API-first architecture
- Mobile-first, with Core Web Vitals budgets
- Built to WCAG 2.2 AA accessibility guidelines
Cloud & DevOps
- Infrastructure as code (Terraform)
- Blue-green cutovers planned to minimize downtime
- Observability: logs, metrics, tracing, SLOs
- Incident-response runbooks and on-call playbooks
Virtual desktops
- Assessment of users, applications and devices
- A pilot group before any migration
- Phased cutover with user support
- Ongoing patching and capacity reviews
Engagement models
Choose the model that fits the work
We'll recommend one after the discovery call.
Fixed-price
A defined scope and budget for a clear deliverable — ideal for builds, migrations and assessments.
Time & materials
Flexible capacity, invoiced monthly, for work where the scope will evolve as you learn.
Dedicated team
A full-time pod embedded with your team for long-running products and platforms.
Outcome-based
Fees tied to the KPIs we agree up front, where the result can be measured cleanly.
Let's plan your project together
A discovery call is the quickest way to find the right scope and model.