Cardan House · the table
and the capability
stays in
Fig · How an AI-native team works
Your team+ AgentsSpec · Harness · LoopSpec · LoopIn production
We augment teams with AI agents

Don't hire more people.Augment your team.

More people isn't always more speed. A team that directs AI agents is: it does the work of several. We augment yours to do the same —and when it flies solo, we leave.
For teams in:
ProductEngineeringMarketingConsulting
Ex-VP of Productleading every project
500+professionals trained
Every daybuilding with agents
Our own schoolCardan Academy
Trusted by
LookieroTATAM.digital…and other agencies, consultancies and startups.
What you hire

Three ways to augment your team.
Pick where you start.

A team of Product Engineers, Product Coaches and Software Architects. Train, accelerate or build —whatever your team needs now.

01
Train · Training

From PMs & POs to Product Engineers.

Your PMs become Product Engineers: people who take an idea to production with agents, depending on no one. Like the 500+ we've already trained.

02
Accelerate · Agentic Dev

Your engineering, with agentic development.

Your engineers stop being AI-assisted and start directing agents: spec-driven development, context engineering, loops. A different way to build —and a different speed.

03
Build · Studio

A new product, without stealing focus.

One of our Product Engineers builds your next product from zero to production, without stealing your team's focus. We hand it over ready to maintain.

Start where it hurts —the bar is the same across all three.
Train · Accelerate · BuildFig. 01 — What you hire
The impact

×2 productivity. Measured.

AI isn't a department: it's a skill. We measure it before and after training —Tech Fluency and AI Fluency— and give hours back to each person's work.
Measured in training · 500+ professionals trained
Fig. 02·a
×2
Tech Fluency
×3
AI Fluency
×2
Productivity
100hof training1,760hof return / year per person
The math: ×2 productivity equals giving back a full working year (~220 days × 8h) per person.
Measurable capabilityFig. 02 — The impact
How we work

Starting is easy. Leaving too.

We sit at your table, build with you and leave you flying solo.
01

We sit at your table

A session to understand where it hurts and what can be accelerated now. We leave with a plan, not an invoice.

02

We build with you

We train, accelerate or build —beside you and with your team, not in an ivory tower. Real work, visible results.

03

The capability stays

When your team flies solo, we go. It stays inside —no dependency, no endless invoice.

We come in, we build, we leave.
Capability, not dependencyFig. 03 — How we work
The school · Cardan AcademyFig. 04 — Academy
Manu López
Who leads it

Manu López

Founder · Product Engineer
Ex-VP of Product10+ years leading product on the front line
500+ professionals trainedin product and in building with AI
Builds with agents every dayreal dogfooding, not theory
— capability, not dependency.
Manu López · FounderFig. 05 — Who leads it
Where we're going
AI-first companies,
led by people.
The advantage is no longer in the tools —everyone has them— but in the people who know how to direct them. We work to spread that capability, not hoard it: our success is the day your team no longer needs us.
The next step
Shall we augment your team?
Tell us what you want to accelerate —your team, your engineering or your product. In one call we'll tell you if we can help. And if we can't, we'll tell you that too.
Book a call