Software delivery capacity, assigned to your project.
Azendo delivers software development services from Chiang Mai, Thailand. You choose the software disciplines your roadmap is missing; we assign software specialists at full capacity, put a service delivery manager on the account, and deliver inside your repositories, your tools and your sprint rhythm. If the discipline you need is not already on our team, we go and find the right software specialist for your project.
Pick the software discipline, or tell us the outcome
Some partners know exactly what they need — two backend software engineers and a QA engineer, starting next quarter. Others come with an outcome: ship the mobile app, get the platform through a security review, make the data usable. Either conversation works. If you describe the outcome, we propose the software disciplines and the monthly capacity it takes to get there.
The service lines below are the software disciplines we deliver most often, and they are a starting point rather than a menu you have to choose from. When a roadmap needs something more specific — a niche framework, an unusual stack, a domain nobody has on the bench — we search for the right software specialist for your project and build the discipline around them.
Every service line follows the same model: software specialists assigned to your project at full capacity, working long term inside your codebase, with a service delivery manager accountable for delivery and a minimum monthly capacity in hours written into the agreement.
Software engineering
Product and interface work that moves the roadmap
Backend, frontend and full-stack software engineers working features, integrations and platform debt inside your existing codebase.
iOS, Android and cross-platform software engineers owning release cycles, store submissions and the long tail of device support.
Product designers running flows, interface work and design system maintenance in the same sprint rhythm as your software engineers.
Software quality and platform
The work that keeps releases boring
Test strategy, automated suites and regression coverage owned by a specialist instead of squeezed in between features.
Pipelines, infrastructure as code, observability and cost control for teams whose platform has outgrown side-of-desk attention.
Pipelines, warehouse modelling and data quality work so the reporting layer stops being a monthly argument.
AI and data
From experiment to software you can run in production
LLM features built into your software properly: retrieval, evaluation, guardrails and the unglamorous plumbing around them.
Agentic workflows and internal automation that remove manual steps from operations, support and back office processes.
Deployment, monitoring and retraining infrastructure so models keep working after the notebook is closed.
Analysis, model development, fine-tuning and evaluation, tied to a decision someone in your business actually has to make.
A common shape: two software engineers, one QA engineer and part of a DevOps specialist's capacity, under one agreement and one service delivery manager.
Need a software specialist we have not named?
A niche framework, a specific ERP, Salesforce, game development, security engineering, technical writing — tell us the profile and we will search for the right specialist for your project, assess them through our own process, and build the discipline around them.
Expect a longer start than an established service line, no additional cost for the search, and an honest answer if we do not think we can deliver it well.
Tell us the profileThey become part of the Azendo team and are assigned to your project under the same agreement as every other software discipline.
Start from the symptom, not the job title
Usually software development capacity, sometimes QA — if a third of your engineering time goes into manual regression, adding developers only moves the bottleneck.
Software development →QA engineering and test automation, often paired with DevOps to get the suite running in the pipeline rather than on someone’s laptop.
QA and test automation →Cloud and DevOps capacity to get access control, logging and infrastructure evidence into a state a questionnaire can survive.
Cloud and DevOps →Data engineering first — pipelines and modelling — before any data science work has a foundation worth standing on.
Data engineering →AI engineering for the product surface, MLOps for everything that keeps it running and measurable once real users arrive.
AI engineering →Then start with the conversation, not the service line. Thirty minutes, and you get a written view of what we would deliver and what it takes.
Talk to us →About our software development services
Can we combine several software disciplines in one agreement?
Yes, and most partners do. One agreement covers the whole offshore team regardless of how many software disciplines it spans, with one monthly fee, one minimum capacity in hours and one service delivery manager across all of it.
What if you do not have the software discipline we need?
We build it. You describe the profile, we search our network and the local market, assess the people we find against our own technical and communication standard, and you meet them before anything is committed. They join the Azendo team and are assigned to your project on the same terms as any other discipline. Expect a few extra weeks before delivery starts, at no additional cost.
Is there a minimum capacity?
Yes. Capacity is committed in full to one project, so agreements start at one discipline’s monthly capacity. We do not split attention across partners and we do not take part-time arrangements — delivery is only good when the team knows your product properly.
Can we change the team composition later?
Capacity and composition are reviewed monthly. Roadmaps move — an offshore team that needed two software engineers and a designer in the first year often needs QA and DevOps in the second. Changes go through your service delivery manager and take effect with the notice period in the agreement.