A Thai technology, software and AI development company
SEAN SOLUTIONS develops AI software, websites and mobile apps. We start with the work you do, the data you have and the systems you need to connect. Then we work out what to build.
How we work
Agree on the problem and what the first release needs to do.
Use data from the task to check the results against agreed criteria.
Hand over code, documentation and access so your team can keep it running.
Services
Scope, price and the responsible team are agreed before any code is written.
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AI Engineering
We put machine learning and LLMs into products people actually use: retrieval over your own documents, classification and extraction, and forecasting. Every engagement includes a measurement step before delivery.
AI engineering02
AI-powered Products
Web platforms where AI capability is part of the product rather than a demo bolted onto the page — assistants, search, ranking and automation inside day-to-day workflows.
AI-powered products03
Mobile Apps
iOS and Android apps, native or from a single codebase with React Native and Flutter, using on-device AI or API calls as the case requires.
Mobile apps04
Cloud & MLOps
Architecture and automation on AWS, Azure and GCP — from containers and CI/CD to model serving, monitoring and drift detection in production.
Cloud and MLOpsUnder the hood
Scroll through the three layers every project gets — data, model, and the product we hand over.
We pull from the systems you already have — documents, databases, APIs — and shape them into something usable, with role-based access from day one. A good model is worthless if the data behind it is unreachable or untrustworthy.
Start with auditable rules. Move to retrieval plus a language model when answers live in documents. Reach for a custom model when the data is large and precision matters. Every path ships with its own test set.
It goes live with a dashboard for quality, cost and errors. You receive the code, docs, test suite and every permission — your team can run it, or we can stay on support.
Why us
We are not a large firm with layers of approval, but our process and delivery standards are documented and open to inspection.
You talk directly to the people writing the code, with no layers of account management in between.
We ship in short cycles so you can try real software along the way instead of waiting for a single launch.
Every AI feature has a test set and clear metrics. If the model is not worth it, we say so plainly.
Every project includes a support period after launch, and you receive all code, documentation and access.
How we work
We work in short cycles, with clear review points, and keep progress visible throughout the project.
A short conversation about goals, constraints and budget, including whether AI is the right fit for this problem at all.
Architecture, data and screens decided on paper first, along with where a model earns its place and where plain rules are enough.
Working software within weeks, with a test suite covering every model in the system.
Deployment, monitoring and a team you can reach after go-live, plus a long-term plan for maintaining the models.
Use cases
Recurring engagement shapes — each with the root problem, what we build, and how success is measured.
FAQ
Work that requires interpreting language or large volumes of data: answering questions from internal documents, extracting data from files or email, categorising requests, forecasting trends. We start with an assessment. If simple rules or a process change would serve you better, we say so.
With a conversation. Tell us the problem, your timeline and the budget you have in mind, and we reply with a straight assessment of what to do, what to skip and roughly what it will cost. If it fits, we move straight into defining the scope.
Usually, yes. We start by reviewing the existing code and system — architecture, data, security and deployment — then give you a clear recommendation: extend it, refactor it or rebuild it.
Every project includes a support period after launch for fixes and monitoring. AI work also gets quality and drift monitoring; after that you can choose a monthly support plan or take the work in-house, with the full code, documentation and configuration.
Tell us briefly what the project looks like, and we will reply with feedback you can act on.