Behind a great product, there's a great team
is a great team
Design, development, automation and applied AI, integrated from the start to build products ready to evolve.
Product engineering with operational thinking
We build with an eye on how the system will live after deployment.
Some products work well in a demo.
And then there's what really matters: integrating them with existing systems, keeping them alive, scaling them without breaking operations and making them genuinely fit the way a team works.
We've been building there for over 15 years.
At WATA Factory, design, development, automation, cloud and AI are part of the same process. Teams share context from the start, validate quickly and build with real operations in mind, not just delivering features.
We work close to the product, close to the business and close to the people who'll use it every day.
This is how we build systems that are ready to evolve, adapt and keep adding value over time.

AI built into operational workflows
Code review, documentation, tests. AI speeds up the repetitive work. Human judgement on architecture and product.

Shared technical context
German Project Leads embedded in nearshore teams. Collaboration without cultural friction or loss of context.

Architecture built to evolve
Systems that scale without becoming unmanageable. Documentation that evolves. Operable in production.
Teams that collaborate as an ecosystem
Product, engineering and operations working with shared workflows. AI built into key operational points.

Account Manager
Manages the client relationship and expectations, and coordinates internal teams. Ensures delivery is aligned with business goals.
Client coordination

Business Analyst
Translates business needs into technical use cases. Validates requirements with stakeholders and development teams.
AI-supported discovery

PM / QA
Plan sprints, manage the backlog and validate quality. Ensure iterative delivery without sacrificing stability.
AI-enhanced testing

AI Software Architect
Defines scalable architecture and integration patterns. Uses AI to analyse complexity and assess solutions.
AI-assisted design

AI Software Engineer
Implements features with AI assisting in code review, documentation and tests. Human judgement in technical decisions.
AI-assisted development

DevOps / Platform
Automates pipelines, manages infrastructure and monitors production. AI assists with log analysis and anomaly detection.
AI-powered monitoring
From idea to production
This is how we build systems that scale. Early validation, constant iteration, technical judgement.
01
Understand the real problem
Workshops with business, product and technical teams. Mapping of processes, technical constraints and operational expectations. We don't assume. We ask until we understand.
Discovery
Process mapping
Stakeholder alignment

02
Validate before scaling
A working MVP with real users. Prototypes we can touch and measure. We learn quickly what works and what doesn't. We change course without drama when the data says so.
MVP
User testing
Data-driven decisions

03
Build with technical judgement
Architecture that scales without becoming unmanageable. Constant code review. Automated tests. AI assists with repetitive tasks. Humans decide on architecture and product.
Scalable architecture
AI-assisted dev
Code review

04
Iterate in production
Frequent deployments with safe rollback. Active monitoring. Fast feedback loops. We improve the system while users are using it.
CI/CD
Monitoring
Feedback loops

How we work together
Product sessions, technical retrospectives, architecture discussions. Teams that share context and learn by collaborating.
Continuous learning
Teams experiment, validate and share what works. Technical adaptation without losing judgement.

All Hands
Meetings where we share real learnings between teams. Technical workshops and hands-on sessions on technologies that are already part of our day-to-day.

Ibérica Labs
An internal space to experiment before taking ideas to production. We try out tools, architectures and real workflows hands-on.

Technical languages
Teams coordinating in English and technical German to work with European clients without losing context between business and technology.

Living documentation
Technical decisions, architecture and learnings are shared so that knowledge stays and evolves alongside the product.

Pair programming
Collaborative development to share technical context, speed up onboarding and solve complex problems in real time.

Constant code review
All code goes through shared review to maintain quality, architectural consistency and collective technical judgement.
What we believe in
Operating principles that guide how we build systems and work with teams.

Architecture that holds up in production
Systems designed to be operated, not just deployed

AI as an accelerator, not a substitute
Human judgement in technical decisions and architecture

Technical decisions close to the team
The people building the system know the context

Validate quickly before growing
A working MVP with real users before scaling

Systems ready to evolve
Architecture that allows change without rewrites

Teams that understand business and technology
Direct collaboration between product and engineering
Professional teams building real systems with operational thinking and technical judgement.
Let's talk
Processes, automation, product or new ideas.
We help you find the best way to take them to production.

Quick response

No endless processes

Technology with judgement

We keep it clear








