01 - Software
B2B SaaS and software companies
For technical teams that need to deploy faster, reduce operational debt, improve observability or prepare their platform to scale.
Opening 2 new projects this quarter
Cloud, DevOps and AI for teams with live systems.
We step in when delivery, cloud, manual processes or AI start slowing down an active B2B company. We diagnose the context, define a clear scope and execute with senior profiles.
Results observed in specific projects. We do not promise universal numbers: first we measure the baseline, constraints and scope.
Stack
Technology we use in production.
- Azure
- Kubernetes
- OpenAI
- Terraform
- GitHub Actions
- LangGraph
- Python
- Postgres
Who we work with
For teams that already have a product, processes or infrastructure in production.
Codin fits when there is already a product, users, internal processes or enough technical infrastructure for slowness, debt or lack of automation to start holding the business back.
02 - Operations
eCommerce and digital operations
For companies with catalogues, support, orders or repetitive processes where automation and AI can reduce operational load without losing human control.
03 - Knowledge
Industrial and service companies with complex documentation
For organizations with scattered knowledge, technical documentation, slow onboarding or internal processes that can improve with copilots and AI agents.
We are not an app factory or a slide-deck consultancy. We add more value when there is a real technical problem, implementation capacity and the intent to leave something running.
Areas
Areas where we can help
We combine architecture, delivery and applied AI to unblock specific bottlenecks in live platforms. Scope is adapted to the risk, the team and the systems already operating.
01
ready
Cloud and Azure
Migrations, cloud governance, Azure architecture, AKS, cost control and security. We help you move from improvised infrastructure to an operable, documented base ready to grow.
02
ready
DevOps and CI/CD
Pipelines, deployments, rollback, automation, testing, traceability and delivery practices so your team can ship more often with less risk.
03
ready
AI agents in production
Agents connected to documentation, code, catalogues, tickets or internal processes. Designed with evaluation, human control and security criteria from the start.
04
ready
Process automation
We automate repetitive work across tools, data and teams: support, operations, reports, document review, internal workflows and technical processes.
05
ready
Custom software with AI
Traditional software development or AI integrated from the design phase to solve concrete problems. We also use AI internally to shorten cycles, automate repetitive work and deliver sooner without sacrificing quality.
06
ready
AI strategy and training
We help your team separate real use cases from the noise. Roadmaps, workshops and practical sessions to adopt AI with judgement, safety and focus on return.
Why Codin
A consultancy that behaves like a strong internal team.
Most technology consultancies optimize for selling hours. We optimize for leaving a technical base your team can understand, operate and keep evolving.
- 01
Applied AI, not marketing
We use AI internally in every review, ticket and delivery. Not as a slogan, but as a working method: automate repetition, detect issues earlier and accelerate cycles without losing technical control. - 02
Senior team, no pyramid
You work directly with the people who design, decide and implement. No juniors learning on your project and no commercial layers in between. - 03
Clear scope before execution
First we understand the problem. Then we propose scope, deliverables, risks and budget. We do not sell a packaged solution before knowing what you actually need. - 04
Your code, documentation included
All code stays in your repositories, with documentation, runbooks and transfer sessions so your team can operate the delivery without depending on us. - 05
Real execution, not presentations
We come in to leave something working, documented and operable. Decisions are validated in real repositories, environments and processes. - 06
Technology independence
We choose tools based on the case, not on partner quotas. If a provider fits, we use it; if it does not, we say so.
Anonymized cases
Real outcomes, confidential clients.
We work under NDA with many clients, but we can share the type of problem, the approach and the impact. We discuss technical detail on a call.
Fintech - 80 employees / 01
Migration to AKS and end-to-end observability.
They came from a VM-based monolith with manual deployments that took hours. In 9 weeks: multi-region AKS cluster, CI/CD with rollback and team dashboards.
- 62%
deployment time vs. manual baseline
x14
deployment frequency after 9 weeks
eCommerce - 200 employees / 02
AI support agent on a real catalogue.
RAG system over a 40k SKU catalogue and order history. Integrated into WhatsApp and web, with automated evaluations and human handoff during the first 60 days.
71%
queries resolved without escalation, 60 days
4.7/5
post-launch CSAT, 60 days
Industrial - 1,200 employees / 03
Internal copilots for engineering.
Two custom agents over internal documentation and legacy code. Voluntarily adopted by 80% of the team during the first month.
- 38%
onboarding time in the first month
+22%
development velocity in the first month
Process
Four steps. No surprises.
We do not sell a packaged solution before understanding your context. We start with diagnosis, prioritize with you and execute with clear deliverables.
- 01
Assessment
A 45-minute call and initial review of technical context: repositories, infrastructure, processes, documentation or AI use cases. We leave with a clear first view: what we would do, what we would avoid and where to start.Free - first review - 02
Tailored proposal
We define scope, deliverables, risks, milestones and budget around the real problem. No inflated templates, no fine print and no promises before understanding the situation.Clear scope - 03
Execution
We work in short cycles, with frequent demos and direct access to the team. All code and documentation stay in your repositories from day one.Senior implementation - 04
Transfer
Documentation, runbooks and transfer sessions so your team can operate what was delivered. If something caused by our delivery fails during the agreed period, we review and fix it.Transfer + warranty
FAQ
What people usually ask before the first call.
If your question is not here, write to us and we will reply the next business day.
01 Do you only work with large companies?
No. We work best with companies that already have a product, technical team, internal processes or infrastructure in motion. They can be B2B startups, scaleups, technology SMEs, eCommerce companies, industrial companies or internal departments in mid-sized and large organizations.
02 How do you charge?
We usually price by project once the scope is understood. In some cases we work through a monthly collaboration if the client needs continued technical capacity. We do not sell loose hour bundles or packaged services without prior diagnosis.
03 What happens with code and data?
The code lives in your repositories and remains yours. We work with minimum access, agreed environments and confidentiality agreements when needed. If we use AI tools, we define in advance which data can be used, where and within what limits.
04 Are you official partners of Microsoft, OpenAI or others?
We do not base our proposal on selling licenses or pushing a specific vendor. We regularly work with Azure, OpenAI, GitHub, Kubernetes and Terraform, but choose tools according to the case. If a project requires a specific official partner, we discuss it from the start.
05 Do you provide training without an associated project?
Yes. We can design practical workshops for technical, product, operations or leadership teams. Even so, we try to connect training to real company use cases, not generic theory.
06 Where are you based?
We are in Huelva, Spain, and mainly work remotely with clients across Spain and Europe. For workshops, kick-offs or strategic sessions, we can travel when it makes sense.
07 What if we do not know exactly what we need?
That is exactly what the technical assessment is for. Often the first value we provide is helping order priorities: what deserves investment now, what can wait and what does not make sense yet.
Next step
Tell us what you want to improve.
In 45 minutes we review your context, detect blockers and give you an initial technical view. If there is a fit, we then prepare a proposal with scope, deliverables and a realistic budget.
Free 45-minute assessment, no commitment. We reply the next business day.