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Capabilities

Built around the problem you need solved.

Every client comes with a specific challenge — a stalled roadmap, a legacy system under strain, or an AI ambition without a clear path. The sections below match the work to the moment.

01

We need a clear path for AI, not another fuzzy vendor pitch.

AI readiness roadmap

For enterprises that have been asked to adopt AI but need a concrete plan. We assess your data, tooling, and team, then deliver a prioritized roadmap with ROI, risks, and build-or-buy guidance.

What this covers

  • Data quality and platform readiness audit
  • Practical AI opportunity mapping
  • Use-case prioritisation by value and effort
  • Build-versus-buy recommendations
  • Vendor, stack, and model evaluation
  • Adoption and change planning
  • A written delivery roadmap with phased milestones

Best for

CIOs, transformation leaders, and teams setting AI strategy

Typical engagement

3–6 weeks · Fixed fee · Written deliverable

02

I have an idea, but I need a team to take it all the way live.

From concept to launch

For founders and product leads who have the vision but not the execution capacity. We turn the idea into working software, from requirements through deployment and user feedback.

What this covers

  • Product discovery and scoping
  • UX and UI design
  • Architecture and stack selection
  • Full-stack implementation
  • Testing and acceptance
  • Launch support and onboarding

Best for

Startups, first-time founders, and product teams without engineering support

Typical engagement

12–20 weeks · Fixed-price · Milestone-based

03

Our product works today, but it won't survive the next level of demand.

Scale with confidence

For teams whose early architecture is now the limiting factor. We strengthen the system, keep the good parts, and prepare it for higher traffic without losing what already works.

What this covers

  • System audits and architecture review
  • Performance and reliability improvements
  • Database optimisation and query tuning
  • Infrastructure hardening
  • Cloud migration planning

Best for

Growing SaaS products, operations-heavy businesses, and mid-market platforms

Typical engagement

6–16 weeks, then ongoing execution

04

We need a technical recommendation we can actually execute.

Architecture strategy

For high-stakes platform decisions — monolith vs services, data migration, resilience design, and long-term cost. We deliver a concrete architecture plan, not just a slide deck.

What this covers

  • Current architecture assessment
  • Scalability and reliability risk review
  • Service design and integration planning
  • Data migration and dependency strategy
  • Target architecture diagrams
  • Execution advisory for the first implementation phase

Best for

Engineering leaders and product teams making platform decisions

Typical engagement

3–6 weeks · Fixed fee · Written recommendation

05

We inherited a product that is expensive to change and risky to ship.

Rescue and recover

If the existing code is slow, fragile, or unclear, we step in, stabilise the platform, and lay out the safest path forward without rebuilding from scratch.

What this covers

  • Technical debt assessment
  • Codebase audit and documentation
  • Stabilisation and performance fixes
  • Operational runbooks and handover
  • Ongoing maintenance options

Best for

Teams stuck on technical debt, legacy code, or failing delivery

Typical engagement

4 weeks audit, then optional T&M

06

We need AI where it actually solves a problem, not where it looks trendy.

AI that earns its place

We identify the right AI opportunities in your product and build them end to end — from data pipelines to production-ready models and integrations.

What this covers

  • Opportunity mapping for AI
  • LLM and model integration
  • Speech, text, and automation interfaces
  • Workflow automation with agents
  • Data infrastructure for AI features
  • Custom model fine-tuning

Best for

Product teams, ops leaders, and enterprises with unstructured data challenges

Typical engagement

4–12 weeks for a first production feature

07

We need experienced engineers in our process, not warm bodies on the team.

Embedded engineers

Senior engineers who join your workflow, understand your stack, and contribute as if they were already part of your team.

What this covers

  • Dedicated engineers or small pods
  • Integration into your backlog and rituals
  • Sprint-based delivery agreements
  • Long-term embedded engagement options
  • Backend, frontend, mobile, DevOps, and design profiles

Best for

Teams that need extra senior capacity fast

Typical engagement

Monthly, ongoing · 4+ hour overlap with US / EU / Japan

08

Our systems don't share data, and our teams keep doing the same manual work.

Connected platform engineering

We bridge systems, automate workflows, and build integrations so the tools you rely on actually work together.

What this covers

  • API design and implementation
  • Third-party service integrations
  • ETL pipelines and data sync
  • Real-time event and webhook infrastructure
  • Automation for manual handoffs
  • Monitoring and reliability for integrations

Best for

Organisations with multiple systems and data silos

Typical engagement

4–10 weeks per integration initiative

Pricing

Pick the shape that fits how you buy.

Time & Material with Cap

Hourly delivery with a hard ceiling. You keep flexibility while limiting total spend.

Outcome-Based

Milestones drive billing, so value is tied to what actually arrives.

GCC (Global Capability Center)

A dedicated engineering unit integrated into your organisation.

Not sure which one you need?

Tell us the problem in your own words. We'll help you decide whether this should be a product build, a recovery engagement, or something in between.