AI-Native Engineering · AI-Native Engineering PODs

A dedicated team, already working in ADIS. Scoped to your roadmap.

A spurtree POD is a dedicated SpurTree team that runs your requirements through ADIS end to end — requirements, design review, build, testing, maintenance, observability and security scanning. The team works inside the platform rather than alongside it, so you get the people and the system together. You set the priorities and approve the gates; the POD delivers.

Who this is for

You're in the right place if…

  • Product companies that need delivery capacity without hiring and onboarding a full team
  • CTOs who want a single accountable team across the lifecycle rather than separate dev, QA and DevOps vendors
  • Businesses with an existing codebase that needs steady maintenance, security and fixes
  • Teams that want the benefits of ADIS without running the platform themselves
The challenge

What gets in the way.

Fragmented vendors and handovers

Development, testing and operations sit with different teams, and work stalls at every handover.

Knowledge locked in individuals

Every team has a person it cannot afford to lose. When they leave, context leaves too.

Status by stand-up

Leaders chase updates in meetings because there is no shared, live view of what is planned, built and tested.

What we deliver

AI-Native Engineering PODs, end to end.

Full-lifecycle team

One POD covers requirements, design review, build, testing, maintenance, observability and security scans.

Work run inside ADIS

The POD uses ADIS agents for analysis, code generation, test creation and scanning, and approves each change before it merges.

Your tools, your repositories

Code and pull requests land in your repositories, and requirements synchronise with Jira or Azure DevOps if you use them.

Visible status and cost

Delivery status, test evidence and security findings are visible in ADIS, with token cost reported per change against quotas you set.

Knowledge kept in the system

Requirements, decisions and evidence are held in ADIS rather than in people's heads, so continuity does not depend on one person.

How we work

A delivery approach you can plan around.

01

Understand the roadmap

We learn your product, priorities, skills needed and where delivery hurts today.

02

Shape the POD

We propose a team composition and engagement scoped to that roadmap — new build, maintenance or both.

03

Onboard through ADIS

We connect your repositories and tracker, index the codebase and agree your approval gates.

04

Deliver every week

The POD runs requirements through every stage, and you review progress and evidence directly in the platform.

Engagement options

Ways to work with us.

New product development

A POD running your roadmap through all seven stages, starting at $20,000 per month.

Maintenance POD

Scan-driven work on an existing codebase, typically priced significantly lower because more of it runs through the pipeline.

Technologies we work with

  • ADIS
  • Jira
  • Azure DevOps
Accelerated by

Our platforms in this work.

ADIS

ADIS

Agentic AI runs requirements, design, build, test, maintenance, observability and security scans as one traced system — with a human approving every gate.

FAQ

AI-Native Engineering PODs: common questions.

What is a spurtree POD?

A dedicated SpurTree team that runs your requirements through ADIS end to end, working inside the platform rather than alongside it. PODs are scoped to your roadmap.

How much does a POD cost?

A POD for new product development starts at $20,000 per month. Maintenance-focused engagements are typically priced lower. We'll propose a shape after understanding your roadmap.

How is a POD different from staff augmentation?

You get a team that owns delivery across the lifecycle and the system it works in, not individual engineers slotted into your process. Every change still comes to you through approval gates you control.

What happens if we end the engagement?

You keep everything produced. Code lives in your repositories, requirements in your tracker, and reports export in standard formats.

Next step

Let's talk about your ai-native engineering pods needs.

We'll reply within one business day to understand the skills and engagement you need and propose a POD shape.

Tell us about the team you need

We'll reply within one business day to understand the skills and engagement you need and propose a POD shape.