LLM integrations, AI chatbots, and workflow automation that save your team hours — built into the products and processes you already have.
AI is most valuable when it's a little boring: answering the same customer questions at 2am, sorting incoming enquiries, drafting reports, pulling data out of documents. The wins come from fitting AI into a real workflow, not from a flashy demo.
DEVR Tech builds practical AI features for businesses in Singapore and Malaysia — from LLM-powered assistants inside existing products to automations that take manual steps out of daily operations.
Because we're a full software studio, we don't stop at the model. We build the app, the integrations, and the admin tools around it, so the AI actually reaches the people who need it.
Language-model features inside your product: smart search, summaries, drafting, and Q&A over your own content.
Customer-facing or internal assistants that answer from your knowledge base and hand off to a person when needed.
Automate repetitive steps like data entry, routing, and reporting, so your team can focus on real work.
When a general model isn't enough, we fine-tune it on your data for your tone, format, or domain.
Purpose-built models for classification, prediction, or extraction when off-the-shelf APIs don't fit.
Test an AI idea on your real data before committing to a full build.
Pick one process that's repetitive, high-volume, and low-risk — answering common questions, tagging incoming requests, or summarising documents. Measure the time saved, then expand to the next process.
Keep a person in the loop for decisions that matter, and be deliberate about which data goes into a model. We'll explain where your data goes and which providers are involved, so you can make an informed decision.
Read more: AI for Small Businesses in Southeast Asia: Where to Start
We find the processes where AI saves the most time, and check the data is there to support them.
We prototype on your real data, so you can judge the quality before committing.
Agile sprints with regular demos, testing outputs against real cases — not just the happy path.
We deploy, monitor quality and running costs, and keep tuning.
Cost depends on the use case, the data involved, and how the AI connects to your existing systems. Most AI services also have a usage-based running cost, which depends on volume — we'll talk it through when we scope the project.
It depends on scope, but most of our projects start in the low five figures. AI services usually add a usage-based running cost, which we'll talk through when scoping. Message us on WhatsApp for a free quote within 24 hours.
Often, yes. Many AI features — chatbots, smart search, automated tagging — connect to an existing system through APIs. We'll check what's possible during discovery.
Not usually. Modern language models work well out of the box for many tasks, and your own documents and examples improve the results. Fine-tuning and custom models need more data — we'll tell you if that's the case.
It depends on how the system is built. We'll explain where your data goes, which providers are involved, and what is stored, so you can make an informed decision before anything goes live.
A focused MVP can ship in 6–10 weeks, and 85% of our projects launch within three months. A proof of concept on your real data is often the best first step.
