79%
In two years, generative AI use in companies went from 33% to 79%. One of the fastest adoptions ever seen.
source: mckinsey, state of ai 2025

We build the product, internal system or MVP your company needs. Software made to work in the real world from day one, not a proof of concept you have to redo later. If you want to validate an idea before investing big, we start there.

We spot the repetitive tasks eating your team's time and make them automatic. When it makes sense, we add agents that handle customers, qualify leads or move processes on their own, always with clear rules and a person in charge of what matters.

We train your people to use AI in their daily work and, when it applies, to build their own automations. The idea isn't to leave a certificate in a drawer: it's for the knowledge to stay in your company and keep producing after we leave.
Representative examples of the kind of work we do, by area.
We centralize orders and inventory in one tool that cross-checks the data and raises its hand when something is off, instead of you finding out too late.
An agent that responds, qualifies and books on its own, and passes your team only what's ready to close.
We coach your people to spot their repetitive tasks and build their own automations, with the judgment to know when it's worth it and when it isn't.
We understand your case, check whether it's worth building and give you an honest recommendation before you invest. Timelines and scope we define here, based on your real situation.
We define how the system will work and build a prototype we test with real people, to adjust before investing in building it fully.
We move in short cycles, with quality reviewed at each step and someone on your side reviewing the key decisions. Nothing is decided behind your back.
We support the system in production, improve it over time and hand everything over so it becomes yours.
79%
In two years, generative AI use in companies went from 33% to 79%. One of the fastest adoptions ever seen.
source: mckinsey, state of ai 2025
92%
of workers in Colombia already use AI. But only 28% of companies turn that use into real business change.
source: ey, work reimagined 2025 (colombia)
3x
Large companies in the region adopt AI at three times the rate of SMEs (41% vs 11%). The gap is widening fast.
source: cepal, 2025
+100.000
people got certified in digital skills in Colombia last year. The talent is there: it just needs to be put to work inside each company.
source: talento tech y avanzatec, 2025-2026
A full development team, comfortable with today's AI tools, embedded in your operation as if it were yours.
A specific requirement with scope and budget agreed upfront. Ideal to test how we work before a bigger commitment.
We look after your AI systems once they're live: we monitor them, fix what drifts and keep improving them so they don't stall halfway.
A senior profile that helps your leadership decide where and how to use AI, without the cost of a full-time executive.

AI already changed how we work and it won't slow down. That's why we train your people on their own operation, with hands-on workshops and not loose theory, so they stop watching AI from the outside and use it every day with judgment.
An assessment of your case: what you need, the best way to solve it and an honest recommendation. If building isn't worth it for you, we'll tell you that too.
That's completely normal, and no problem. That's what the assessment is for: we help you frame the problem, see what's worth solving first and decide whether building something makes sense or not. Coming in with doubts is a good starting point.
An assessment of your case: what you need, the best way to solve it and an honest recommendation. If building isn't worth it for you, we'll tell you that too.
Offices in Bogotá and Lima.