A human operator. A team of AI agents.

An Ultra Agent is not a chatbot and not a body shop contractor. It is a top 2% human operator who directs specialized software-development AI agents — thinking like a person, performing like a computer.

The industry default is not working

Most companies still choose among three weak options: staff up with expensive all-human teams, rent interchangeable contractors from a body shop, or hand work to unattended AI tools and hope. Standish Group’s CHAOS data still shows only about 31% of software projects succeed* on time, on budget, and in full. Fifty percent* are challenged. Nineteen percent* fail outright.

%

Typical project success *

%

Challenged or late *

%

Failed outright *

%

Talent we select

What you are actually hiring

An Ultra Agent is a human operator who controls a team of specialized software-development AI agents. The agents work together and think more like humans — then perform like computers.

The operator brings judgment, communication, and accountability. The agents bring speed, consistency, and scale. You get work that is faster and less expensive than staffing the same capacity with people alone, and more reliable than leaving the work to unattended tools.

GitHub’s own Copilot study found developers complete a controlled task 55% faster* with an AI pair. That is a single assistant on a single task. An Ultra Agent is an operator directing a coordinated team of agents, trained every day in your domain and stack — with a human still in the loop before anything ships.

Why this beats the usual options



Versus a body shop

Typical staff-aug sends whoever is on the bench. You get hourly people, thin reporting, and quality that varies by the individual. We select from the top 2%, train daily in your domain and stack, and show you a living Character Sheet so you can see skills, growth, and effectiveness — not a résumé from last year.



Versus unattended AI

Chat windows and coding copilots are fast and cheap until they are wrong. There is no named owner, no review ritual, and no memory of your architecture. An Ultra Agent keeps a human operator accountable. Agents execute in parallel; the operator steers, reviews, and ships.



Versus an all-human crew

A large all-human team is slow to staff, expensive to keep, and loses 4–8 weeks* of delivery when someone leaves. One operator plus 5–10 specialized agents gives you high-judgment direction at computer speed — onshore, nearshore, or offshore — without a 12-person hiring pipeline.

Training is scheduled into the workday

Most firms treat training as an after-hours luxury. Ours is not optional and not generic. Operators train every day in two tracks: your domain (the business they are building for) and your technical stack. That is how a team gets better every week instead of quietly going stale.

Packages

One trained human operator. A coordinated AI agent team. Ready to start.

Trial

14 days · first time only

$2,500/14 days

1 human operator
5 AI agents
First-time customers only
Character Sheet access

Start trial

Basic

30 days

$7,500/30 days

1 human operator
5 AI agents
Domain + stack training
Character Sheet access

Choose Basic

Build

30 days

$10,000/30 days

1 human operator
10 AI agents
Higher velocity
Domain + stack training

Choose Build

Put an Ultra Agent on real work

Onshore, nearshore, or offshore. Progress is visible in the DEVUPP App.

Talk to us

Notes

* Standish Group CHAOS Report: roughly 31% of software projects succeed, 50% are challenged (late, over budget, or under-scoped), and 19% fail outright.

* GitHub research on Copilot (Peng et al.): developers completed a controlled task about 55% faster with an AI pair programmer. That measures a single assistant on a single task, not an Ultra Agent team.

* SHRM estimates replacing a software engineer can cost on the order of 6–9 months of salary. Gartner has cited a 4–8 week delivery setback when a developer leaves.

* Industry analyses commonly cite 20–25% of outsourcing relationships failing within two years.

Figures are third-party published estimates, not guarantees of DEVUPP results. See Disclaimers.