AI-native, not decorative
Models are part of the domain: they decide flows, enrich data, generate actions. Not a chat widget on the side.
Service · Custom software
Applications built with AI inside, not with AI taped on later.
We design and build your product from scratch. AI is part of the architecture — it decides, responds, automates. We deliver fast because we also use AI to build.
The context
"Add AI" stopped being a differentiator.
By 2026, every product has a chatbot pinned in some corner. What moves the needle is something else: applications where AI lives in the core flow — solving, prioritizing, understanding context and acting. You don't get there by bolting a model onto a traditional app. You design it that way from day one.
Six things we do differently.
We build with AI
We use code assistants and agents in our own development workflow. We deliver much faster than the traditional model — at the same quality bar.
Cost and latency under control
We pick model, context size and fallbacks with your monthly bill in mind. AI is beautiful until the invoice arrives.
No provider lock-in
Provider-agnostic architecture. If a better or cheaper one shows up tomorrow, we switch without rewriting your product.
Senior end-to-end
Small team, no middle management. You talk to whoever designs and to whoever writes the code — usually the same person.
Integrated with your stack
We connect to your ERP, CRM, GeneXus KBs, data lake or whatever you have. We don't propose tearing down what works.
The kind of applications we deliver.
Internal copilots
Assistants embedded in real processes: support, procurement, legal, operations. They know your data, they answer with context.
Vertical SaaS
End-customer products for specific industries. Design, backend, AI, admin panel and billing.
Agents and automations
Flows that run real tasks — reading mail, generating documents, classifying, following up — with a human in the loop where needed.
Natural-language dashboards
Dashboards you query in plain language and that respond with charts, not tables nobody reads.
Semantic search over your data
Production-grade RAG over documents, tickets, contracts, KBs. Sourced answers, not hallucinations.
GeneXus extensions
If your backbone runs on GeneXus, we build around it — portals, AI on top of the KB, integrations — without touching what already works.
From the first call to software in production.
- 01
Discovery
We understand the process, the users and the data. We come out with a scope proposal, an architecture and a fixed price by phases. No surprises.
- 02
Functional prototype
A real MVP with the critical flows and AI wired up. Touchable, testable with internal users, you decide whether it's worth continuing.
- 03
Iterative build
Periodic demos with software running in your environment. Joint prioritization. Quality, AI-cost and adoption metrics visible from day one.
- 04
Go-live and handoff
Deployment, monitoring, documentation and transfer. You keep the code, the infrastructure and a team able to operate it.
- 05
Support and evolution (optional)
If you prefer, we keep accompanying you. If your team takes over, that works too. We never tie you to the vendor.
This service is for you — or it isn't.
We'd rather say no than oversell. If something here doesn't add up for you, we'll talk it through on the first call.
It makes sense if…
- You have a business process where AI can take repetitive work or low-value decisions off the table.
- You want to launch a new product and AI is part of the core, not a nice-to-have.
- Your internal team is saturated and you need to accelerate without hiring 6 people.
- You already ran a POC with AI and now need to take it to serious production.
- You operate on GeneXus and want to build modern experiences without migrating the backbone.
It's not for you if…
- You're after a generic chatbot bolted onto your website — there are cheaper tools for that.
- You don't have a clear business problem and you're exploring "what could we do with AI". Let's talk first, no contract.
- You need a code factory for staff augmentation. We're not that vendor.
Why this service exists
Custom software got a bad reputation for a reason: too many projects delivered late, expensive and disconnected from the problem that started them. We believe that has more to do with how things are built than with the idea of building custom.
Today the tools have changed. A small team, with real seniors and AI assistance, can deliver much faster than the traditional model — without losing quality, with more contact with the business and better architecture decisions. That’s our starting point.
How we think about projects
We’d rather deliver something small and real than promise something big and far away. You see software running in your environment from early on. If something isn’t serving, we change it there — not in a late retrospective.
We treat AI as one more piece of engineering: with tests, measured costs, fallbacks for when the model goes down or answers badly. We don’t put it where it isn’t needed. Where it is needed, we put it well.
What you won’t find here
We don’t do staff augmentation, we don’t sell pool hours, we don’t deliver mock-ups without code behind. If you need to add five devs to your team, there are better vendors for that — happy to recommend one.
What we do is take a business problem, design a solution with AI at the core, and ship it working.
What people ask us before signing.
How is this different from hiring a traditional software factory?
Two concrete things. First, AI is at the core of the design — we don't build you a CRUD with a chat on the side. Second, we use AI to build: a small team delivers faster than a traditional factory, with fewer handoffs and more ownership.
What stack do you use?
By default: TypeScript end-to-end (React/Next on the front, Node on the back), Postgres, and the models that best fit the case — typically Anthropic Claude, OpenAI or self-hosted open-source models. If your current stack is .NET, Python or GeneXus, we work on top of what you have.
How much does it cost and how long does it take?
The initial discovery is fixed-price. From there we close per phase with clear scope and price, with a calendar agreed at each phase. Products are delivered by increments — there's never a distant big bang.
Who owns the code?
You do. The whole repository, infrastructure and documentation are delivered in your name. Nothing stays tied to us.
How do you handle AI inference costs?
It's part of the design from day one. We pick model size by case, cache what makes sense, measure tokens per operation and set up alerts. We give you full visibility into operating cost.
Do you have GeneXus KB experience?
Yes — it's part of our DNA. KBDeepdive.AI, our own product, analyzes GeneXus KBs with AI. If your application has to coexist with or extend a GeneXus backbone, we know the terrain.
Other services
Have a project in mind?
An initial call is enough to know if the project makes sense — and if it does, we propose a fixed-price discovery to get started.