AI-NATIVE TECHNICAL UNIT.
We are not another consultancy selling workshops. We are an AI-native technical unit: we enter where there is friction, debt, or a blocked opportunity, and leave with working systems.
MOMENTUM
For opportunities that cannot wait
When the cost of waiting is higher than the cost of building. We turn uncertainty into functional prototypes, sellable demos, and architecture that does not collapse with the first customer.
- MVPs and prototypes in weeks
- Demos to sell, validate, or raise
- Pragmatic architecture, not academic architecture
- Build vs buy decisions with judgment
FRICTION
For concrete projects inside real companies
We are not competing to transform org charts. We enter critical pieces the internal system moves too slowly: manual processes, systems that do not talk, fragile reporting, automations outside the roadmap, or technical debt blocking the business.
- Projects stuck between business, IT, and vendors
- Internal systems too important to ignore
- POCs and automations that need to exist before budget approval
SYSTEMS
Most companies do not need more software. They need the tools they already use to stop forcing the team to copy, check, and chase information.
- Backoffice: less copy-paste, fewer errors.
- Sales: assisted proposals, follow-up, and qualification.
- Operations: clean data, alerts, and automatic flows.
Pieces where we enter
SaaS
Product, onboarding, payments, permissions, metrics, and enough architecture to sell without rebuilding every sprint.
Product and operations
Internal flows, portals, matching, tracking, and systems that connect sales, support, and operations.
Data and reporting
Dashboards, pipelines, and metrics that stop arriving late or depending on one person reconciling sheets.
Internal systems
Sober tools that solve real work: dashboards, flows, knowledge bases, and automations.
WE DO NOT SELL AI.
WE USE IT TO KILL WAITING.
AI changes how research, prototyping, documentation, testing, and automation work. But judgment is not delegated: critical decisions go through humans who understand business, risk, and context.
- 01
Augmented diagnosis: more context, fewer weeks of discovery.
- 02
Accelerated building: prototypes, automations, and code with shorter cycles.
- 03
Real transfer: living documentation, knowledge bases, and playbooks the team can use.
- 04
Human-in-the-loop: people deciding architecture, priorities, risk, and quality; machines accelerating the rest.
Can you automate this process without rebuilding everything?
If the scope is clear, yes. First we isolate the friction; then we build the minimum piece that removes it.
CONTINUITY WITHOUT INFINITE DEPENDENCY
We do not want to become another bottleneck. We leave systems observable, documented, and ready to iterate.
The Evolutio Protocol
DIAGNOSIS
DECISION
SPRINT
TRANSFER
WHAT WE
DO NOT NEGOTIATE.
"Will you sell us AI even if we do not need it?"
No. If a well-designed spreadsheet solves the problem, we will not sell you an AI app. The tool follows the diagnosis.
"Does this end in a PDF?"
It should not. The goal is to leave a working piece, an executable plan, or an unblocked technical decision.
"Do you work with large companies or only startups?"
We work by piece, not by size. Startup, SME, scaleup, or corporate: if there is an internal owner, context, and urgency to move one concrete technical piece, it fits.
WHAT PIECE IS SLOWING EVERYTHING DOWN?
Open a diagnosis. If we see a clear way to move it, we go. If not, we will say it directly.
Open Diagnosis