B2B · Software Delivery

AI-native software delivery,
start to finish

We embed intelligent automation at every stage of your software lifecycle — not just code generation. From the first requirement to the final deployment, AI works alongside your team to ship faster and with more confidence.

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Four stages. One continuous flow.

Every engagement runs through the same four-stage model. AI tools accelerate each stage — human engineers guide every decision.

01

Discover

We map your business problem to a technical solution before a line of code is written. AI helps us surface ambiguities, model domain concepts, and produce a requirements document your team can actually build from.

Deliverables
  • Requirement analysis document
  • Technical feasibility assessment
  • Risk and dependency map
  • Scope and timeline estimate
02

Architect

We design the system before we build it. AI assists in evaluating architectural trade-offs, modelling data flows, and generating design documents — so decisions are made deliberately, not discovered mid-build.

Deliverables
  • System architecture diagram
  • Data model and API contracts
  • Security and compliance review
  • Infrastructure plan
03

Build

AI-assisted development, not AI-generated code blindly committed. Every generated component is reviewed, tested, and integrated by engineers who understand the system. Velocity without the technical debt.

Deliverables
  • Production-ready source code
  • Automated test suite
  • CI/CD pipeline configuration
  • Security scan report
04

Ship

Deployment is not the finish line — it is the handoff. We set up monitoring, runbooks, and rollback procedures. AI-assisted observability means issues surface before your users feel them.

Deliverables
  • Production deployment
  • Observability and alerting setup
  • Runbook and incident playbook
  • 30-day post-launch support window

Who this is for

Startups building v1

You have a product idea and need a technical team to take it from zero to launch. We act as your founding engineering partner — discovery through shipping.

Enterprise teams adding AI

You have an existing product and want to integrate AI capabilities without disrupting your current architecture. We scope, design, and implement the integration.

Teams under delivery pressure

Your team is moving too slowly. You need additional velocity without additional headcount overhead. We join as a delivery-focused partner with our own tooling and workflow.

Retainer partnerships

For ongoing product evolution, we offer monthly retainer engagements — a dedicated allocation of AI-assisted engineering capacity available to your team on demand.

The difference AI makes at every stage

3× faster discovery

AI processes your existing documentation, interviews, and domain knowledge to produce structured requirements in hours rather than weeks.

Fewer architecture surprises

AI-assisted design review catches integration conflicts and scalability issues before build begins — when they are cheap to fix, not after.

Test coverage from day one

AI generates unit and integration tests alongside code — not as an afterthought. Each component ships with test coverage already in place.

Observable from launch

We wire monitoring and alerting during Ship, not after the first incident. AI-assisted observability means anomalies are flagged before they become outages.

Project or retainer — you choose

We adapt to how your team works. Fixed-scope project engagements for defined builds; monthly retainer for ongoing delivery capacity.

Project
  • Fixed scope and timeline
  • Runs all four stages
  • Ideal for greenfield builds
  • Engagement-based pricing
Retainer
  • Monthly delivery allocation
  • Prioritise work each sprint
  • Ideal for product teams
  • Monthly billing

Pricing is scoped to the engagement. Every project starts with a discovery call — no commitment required.

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Common questions

What is AI-native software delivery?

AI-native means AI is embedded throughout the lifecycle — not just in code generation. We use AI to accelerate requirements analysis, architectural review, test generation, and post-deployment monitoring. Human engineers make every key decision; AI handles the execution work that would otherwise take days.

How is this different from hiring a traditional dev agency?

Traditional agencies rely on human hours at every step. We compound human judgment with AI tooling — the same engineering quality with significantly higher throughput. Our pipeline also enforces a design-before-build discipline that most agencies skip, which means fewer surprises and rewrites.

What kind of projects do you work on?

Web and mobile applications, internal tooling, API development, data pipelines, AI integrations, and cloud infrastructure. We work in most mainstream stacks — React, Node, Python, Go, cloud-native architectures. Contact us with your stack and we'll confirm fit.

Do you work with existing codebases or only greenfield?

Both. Greenfield builds run the full four-stage pipeline. For existing codebases we typically start with an Architect-stage review to map the current state, then scope which Build and Ship stages apply. Brownfield engagements often make a larger impact because there is more to fix and accelerate.

How long does a typical engagement take?

Discovery and architecture reviews typically run 1–2 weeks. Full product builds depend heavily on scope — most v1 projects land in the 6–16 week range. We scope timelines precisely during the Discover phase before any build commitment is made.

How do I get started?

Send us an email at [email protected] or use the contact form on the homepage. Tell us briefly what you're building and where you are. We'll schedule a call to explore fit — no commitment required for the initial conversation.

Ready to ship faster?

Tell us what you're building. We'll take it from there.

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