Services
Software development services for small software teams. QA engineering, product ownership, software engineering, and applied AI from one embedded team.
For engineering leaders at established small software teams, and the fractional CTOs who support them.
QA engineering
QA engineering services for small software teams. Independent testing and verification of every feature and bug, whether your team or ours built it.
We embed in your sprint and test what ships: new features, bug fixes, and the regressions they can cause. Findings are documented with steps and evidence, retested after the fix, and reviewed by our engineers before they reach your developers.
What’s included
- Testing our work and yours
- Regression and feature testing
- Test automation
- Test case development
- Defect validation and reporting
- QA process standardization
- Test and product documentation
A good fit when
- Nobody on the team owns testing
- Bugs are found by customers after release
- Releases slow down because every change is checked by hand
Checks on every change
We map your application, run structured browser checks against your user stories, and report results on your pull requests. It runs as a managed service, so your team doesn’t have to operate anything.
Product ownership
Product ownership and backlog management, alongside your product lead. We run your backlog from goal to accepted feature.
Stakeholder requests, developer questions, and end-user issues land in one place. We turn them into clear requirements and user stories, plan the sprint with your team, accept the work when it meets the brief, and report back to stakeholders on what was delivered.
What’s included
- Backlog management
- Requirements and user stories
- Sprint planning and facilitation
- Acceptance and sign-off
- Cross-team coordination
- Stakeholder reporting
- Scoping and estimation
A good fit when
- Stakeholders and developers keep talking past each other
- The backlog grows faster than it gets worked
- Nobody can say what shipped last sprint, or why
Software engineering
Software engineering on a live platform. Enhancement, modernization, and new features, added to the team you already have.
When your developers are at capacity, we add engineers who work your backlog in your sprint and your tools. We build new features, modernize the ones that hold you back, integrate the platforms you depend on, and keep the lights on, with every change going through QA.
What’s included
- New feature development
- Feature modernization
- Platform integration
- Maintenance and enhancement
- Backlog delivery
- Continuous enhancement
- Proof-of-concept development
A good fit when
- Your developers are at capacity
- A critical deadline is coming up
- You need expertise the team doesn’t have in-house
Applied AI
Applied AI built into the systems and data you already have. And run in production, not left as a demo.
We design and build AI features that work with your existing systems and data, then run them in production with the same QA as the rest of your product.
What’s included
- AI agents
- Conversational assistants
- Automated documentation
- In-product documentation
- Release automation
- Prompt engineering
- AI architecture and scaling
A good fit when
- You want AI in the product, grounded in your own data
- An AI prototype needs to become a production feature
- Documentation and release notes fall behind every release
Testing what AI builds
LLM features don’t give the same answer twice, so pass-or-fail tests aren’t enough. We test them with a non-deterministic approach that scores confidence across a sample of runs.
Ways to work together
Engagements shaped around your team. Every one starts with an intro call and a written plan.
Scoped project
A defined piece of work with a written plan: a QA process stood up, a feature built, an AI capability shipped.
Retainer
An embedded team on an ongoing basis, working your sprint every cycle across QA, product ownership, and engineering.
Ongoing QA
Recurring testing and reporting on every release, run as a managed service, with findings reviewed by our engineers.
Questions
Questions about our services
- Can you test work our own developers built?
- Yes. Our QA engineering covers every feature and bug, whether your team built it or ours did. We work from your user stories and report findings in the tools your developers already use.
- Do you work in our tools and our sprint?
- Yes. We join your existing workflow instead of asking you to adopt a new one: your backlog, your sprint cadence, your repository, and your communication channels.
- Can you take over our backlog?
- We run the backlog alongside your product lead, not instead of them. We write requirements and user stories, plan sprints, accept finished work, and report to stakeholders.
- Do you build AI features or just test them?
- Both. We build AI agents, assistants, and automation into your existing systems, and we test AI features with an approach designed for answers that vary from run to run.
- How much do your services cost?
- It depends on scope: how many user journeys we cover, how much product ownership you need, and whether we’re also building. Work is quoted as a scoped project, a monthly retainer, or ongoing QA, and you get the price in writing before you commit.
- Have a different question?
- Send it with a few details about your team and we’ll answer it directly.
- Ask us
Next step
Put QA and product ownership on your team this quarter.
Tell us where releases are slipping. We’ll map out how an embedded team would help, in writing, before you commit to anything.
Field notes on QA and shipping
Occasional, practical notes for engineering leaders. No spam.