Product engineering

Two weeks in, you’re running working software.

We build with you, on an open cadence you can see and steer. Production-grade from the first commit, senior hands throughout, and a delivery system that is healthier when we leave than when we arrived. Amplified by AI, so you ship more without paying for it in quality.

Three decades shipping mission-critical systems

100+ products delivered

Engineering behind Vale, Softplan, Segware, and a national security platform

The cost of a slow quarter

A slow delivery quarter has a price, and it compounds.

The drag is measurable, and most teams underestimate it.

~⅓

of engineering time lost to technical debt and maintenance, not building

Stripe / McKinsey

$2.4T

estimated annual U.S. cost of poor software quality, mostly unaddressed tech debt

CISQ, 2022

~70%

of large software and digital initiatives miss their goals

BCG / McKinsey

<1h

failure recovery for elite teams, against days for the slowest

Google DORA

None of this is a talent problem. It is a system that stopped serving the people inside it. That is the part we fix.

What usually goes wrong

You already know how most of these engagements end.

01

The funded rebuild

It slips, then stalls, then turns into a dispute. Budget spent, little running.

02

The staffing contract

It adds people, but not ownership. The coordination problem becomes yours.

03

The methodology rollout

It produces more meetings than software, and calls the meetings progress.

None of it traces back to a shortage of good engineers. It traces back to how the work is scoped, sequenced, and held to a standard. We start there, and we start in code.

The promise

The direction is proven in software, not in a plan.

1Week 1

Something real, running. You use it and judge the direction.

2Week 2

The approach is validated in code, not in a document.

3Month 1

The shape of the work is settled, and shipping is a rhythm.

We have delivered this way for twenty years. It holds because the team is small, senior, close to your priorities, and disciplined about putting value in front of you early.

How we work

We bring a way of working, not just capacity.

01

Open scope, priorities you set weekly

No fixed specification that ages badly. You direct what gets built next, informed by what the last week taught you.

02

Delivery in the open

You see the work as it happens, and the metrics that describe it: lead time, cycle time, throughput. Progress you can read, not be told.

03

Senior throughout

Architects and experienced engineers do the building. The judgment you are paying for is present in every commit.

04

A standard that compounds

Test-driven development, clean and event-driven architecture, CI/CD, reversible migrations, security from the first line. Built so the next change stays cheap.

05

AI, used with judgment

Modern tooling raises our output substantially, inside the same discipline. It multiplies a sound process. It does not substitute for one.

06

Remote by design, close in practice

Real timezone overlap and daily visibility. Most clients find they have more insight into our work than into teams down the hall.

The stack we build in.

Capabilities

Tools are the easy part. The architecture is the work.

The value is not the framework. It is knowing how to build systems that stay fast, safe, and changeable as they grow. That is where thirty years shows.

Event-driven & distributed systemsMulti-tenant SaaS architectureReal-time & async processingRAG & agentic AI systemsLegacy modernizationDevSecOps & CI/CD

Proof

Thirty years of the difficult version of this.

Vale, Energy Division

R$50M+ in annual savings

A turnaround through redesigned process, leadership, and systems.

Softplan

Over 80% backlog reduction

Legacy modernization that restored SLA compliance at scale.

Segware (Sigma Cloud)

Security SaaS modernization

Concurrent engineering on a large-scale platform.

National law enforcement

Intelligence and telecom platform

Engineering on a system used against organized crime.

Vale, global exploration

Worldwide mining operations

A geo-information platform supporting global operations.

Led by Samuel Crescencio: three decades hands-on, former Agile Alliance board member in the United States, published author on software delivery, and the architect of Benjamin, our own production AI platform. The standard we hold for clients is the one we hold for ourselves.

Who it is for

Built for teams that need to ship, and need it right.

Software companies and scale-ups whose delivery has slowed under accumulated debt

Teams carrying a roadmap they cannot staff quickly enough to hit

Founders who need a real product built now, without assembling a team first

Leaders who would rather assess working software in two weeks than a proposal

Straight answers

The questions you are right to ask.

Open scope sounds risky. How do I control cost?

You set priorities weekly and watch working software accumulate, so spend is always tied to something real. Pause, expand, or redirect at any point. The first two weeks are your evidence before any larger commitment.

How do you keep quality high while using AI?

The engineering discipline is fixed: tests, architecture, CI/CD, migrations, security. AI changes how much we produce within it, never the standard it is held to.

You are remote and not local. Does that work?

It is how we are built. Timezone overlap, daily visibility, and open delivery give you more transparency than most in-house arrangements, not less.

Give us two weeks.

Tell us what you need to ship. If it is a fit, you will be evaluating working software before the month is out.

We reply within one business day. No sales sequence.

Product engineering by Lean it 101