Your roadmap. Senior engineering. Sustained delivery.
Need ongoing engineering execution beyond a single feature? An Embedded Pod works alongside your team, takes ownership of defined engineering work, and releases into your environment.
The pod in brief
The short version, for whoever signs off.
01 · Who's on it
A senior engineer and an AI architect, named before the engagement begins.
02 · How it's run
Team composition and capacity are agreed upfront. Priorities reset monthly.
03 · Where it works
In your repositories, your cloud, and your tracker, with working hours that overlap yours, agreed upfront.
04 · How it ends
Thirty days' notice to end the engagement.
The same rules on every pod.
You set the priorities.
A named product owner on your side sets them each month and approves each specification.
Your tracker, not ours.
If you work in Jira or Linear, the pod works there too.
Six gates on every change.
Nothing is released until it has passed them (see the six gates).
Two people on anything sensitive.
A change that touches money, authentication, personal data, or data deletion has an author and an independent reviewer, whatever an AI review said.
A release every week.
The standard is at least one production release a week.
From discovery to a pod.
The digital health engagement began as discovery and continued as an Embedded Pod. The mobile app was rebuilt and released to the App Store in 12 weeks, and it has had a release every week since. Read the case study.
Priced for your roadmap.
Embedded Pod
03
Ongoing
CustomScope and pricing agreed before the engagement begins.
Your roadmap. Senior engineering. Sustained delivery.
Need ongoing engineering execution beyond a single feature? An Embedded Pod works alongside your team, takes ownership of defined engineering work, and releases into your environment.
Team composition and capacity are agreed upfront. Priorities reset monthly. Thirty days' notice to end the engagement.
Scope Defined team capacity · Agreed monthly priorities
Frequently asked questions
What is an Embedded Pod?
A small senior team, a senior engineer and an AI architect, that works alongside your engineers on agreed monthly priorities and releases into your environment.
How is it priced?
Custom: team composition, capacity, and price are agreed before the engagement begins.
How is it different from a Velocity Sprint?
A Sprint takes one product feature to production in 4–6 weeks, for a fixed fee from $25,000. A pod is ongoing and works through your roadmap month by month.
Where does the pod work?
In your repositories, your cloud, and your tracker, with working hours that overlap yours, agreed upfront.
How do we end it?
With thirty days' notice.