Engineers who shipfrom week one.
Full-stack, backend, DevOps and data engineers who join your sprints, work in your repos and review queues, and run on the Built OS from their first commit.
Software & Data Engineering
Built by [up]start.13, approved by you.
The work, not
just the headcount.
Features built and shipped end to end, against your definition of done.
Services, endpoints and third-party integrations that hold up in production.
Ingestion, transformation and modeling your analysts can trust.
CI/CD, infrastructure as code and observability for the stack you already run.
Framework upgrades, test coverage and the tech debt nobody has time for.
Metrics layers and dashboards that answer the questions your team keeps asking.
Same work.
Done faster on the OS.
Illustrative, based on the 60–80% productivity gain Built teams reach on the OS. Your numbers depend on the work; we’ll size them with you on a call.
Build faster.
For less.
$136k–$204k saved per year
60–80% more output from the same team size
A Built team of 5 delivers the output of 8–9 U.S. hires, for 20–30% less.
2–2.5x more output per dollar
U.S. cost uses the national median salary for each role (U.S. Bureau of Labor Statistics, May 2025) and doesn’t include benefits, payroll taxes or recruiting, so real savings are usually higher. Built ranges are based on teams running on the AI OS; we’ll give you exact numbers on a call.
People who’ve
done the job.
- Full-stack Engineer
- Backend Engineer
- Frontend Engineer
- Mobile Engineer
- DevOps / Platform Engineer
- Data Engineer
- Analytics Engineer
- Data Analyst
Your stack, from day one
Every team is matched to the tools you already use. These are the ones we see most often in this role.
Same job. Done with AI.
Every Software & Data Engineering team is trained and certified on the Built OS before day one. Here’s what that looks like in the work.
Every pull request gets a first pass against your conventions before a person reviews it.
Unit and integration tests are drafted with new code, not after it.
PR summaries, READMEs and runbooks written as the work ships.
From call
to day one.
- STEP 1Scope the work
Stack, seniority, hours and how you’ll measure the work. One call.
- STEP 2We build your team
Professionals matched to your tools, cleared against our own bar.
- STEP 3You approve
Meet the team and sign off. No pressure, no gatekeeping.
- STEP 4They start on the OS
Full working-day overlap, your tools, your standards.
Questions,
answered.
Will they work in our repos and tools?
Yes. Your GitHub or GitLab, your Jira or Linear, your standups and code review. They follow your process, not ours.
Who owns the code they write?
You do. IP assignment is agreed in writing before day one, along with access and data rules.
Can we start with one engineer?
Yes. Many teams start with one or two people and add more once the first placement is working.
Let’s build your Software & Data team.
Tell us the work, the stack and the hours you need covered. We’ll take it from there.