LLM development · Singapore
LLM development company in Singapore
A senior team a short time-zone hop away, building products ready to scale across the region.
Clarigo Infotech is an LLM development company that builds custom applications on large language models such as OpenAI GPT, Anthropic Claude, Google Gemini and open-source models like Llama. We design the prompts, retrieval, tools and guardrails, connect the model to your data and systems, and run it in production with monitoring, evaluation and cost control.
Singapore companies most often hire us for fintech, logistics and AI products for Southeast Asia.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
Efficiency and regional scale
Businesses across Singapore, Malaysia and Hong Kong want efficient delivery and products that work across several markets and languages.
Close time zone
Two and a half hours from India, so most of the day overlaps.
Built for several markets
Multi-language, multi-currency and local payments for regional growth.
Fintech-grade security
Secure architecture and data handling designed around local privacy laws.
Efficient delivery
Senior engineers at offshore rates, with a production launch in 25 to 30 days.
What we build with LLMs
Custom LLM applications
Assistants, copilots and internal tools built around your workflows, not a generic chat window.
LLM integration
Add GPT, Claude or Gemini to your existing product through secure, well-tested APIs.
Open-source and private models
Deploy Llama and other open models on your own cloud when data must stay in-house.
Fine-tuning and evaluation
Tune models on your examples and measure accuracy with test sets before and after launch.
Guardrails and safety
Input and output filtering, PII masking, grounding checks and human review where needed.
Cost and latency optimisation
Model routing, caching and prompt design that keep responses fast and bills predictable.
How we approach LLM development
Choosing the right model
There is no single best model. We compare OpenAI, Claude, Gemini and open-source options on your real tasks for accuracy, speed, cost and data handling, and design the app so the model can be swapped later without a rewrite.
Grounded in your data
Most business value comes from connecting the model to your documents, databases and tools. We use retrieval (RAG), function calling and agents so answers come from your information and actions happen in your systems.
Built for production, not demos
We add evaluation test sets, logging, monitoring, rate limits, fallbacks and cost alerts from day one, so the app keeps working well after launch and you can see exactly what it is doing.
Security and compliance
Data minimisation, encryption, access control and providers configured not to train on your data. For healthcare we build to HIPAA requirements with BAAs in place for any service that touches PHI.
Built for Singaporean teams
Time-zone overlap
Singapore is two and a half hours ahead of India, so our working days overlap for most of the day, with same-day calls and replies.
The Personal Data Protection Act (PDPA)
We design to the PDPA: consent, purpose limitation, protection and retention rules, with data hosted in Singapore cloud regions when required and NDAs signed before work starts.
Billing
Invoices in Singapore dollars (SGD) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Where we help Singapore businesses most
Singapore businesses use us to build fintech, logistics and AI products for the region, with English-speaking senior engineers, close time-zone overlap and data handled in line with the PDPA.
Finance and wealth
MAS-regulated firms build digital banking and wealth platforms. We start with one costly process and automate it end to end.
Logistics and shipping
Port and transhipment hub needs tracking and optimisation. We build AI agents, assistants and automation around these workflows.
Regional HQs
Companies run Southeast Asian operations from Singapore. AI here usually means faster reporting, fewer manual steps and better customer replies.
Biomedical sciences
Research and medtech firms adopt AI and data tooling. We start with one costly process and automate it end to end.
Meetings in your time zone
Our team's hours, in Singaporean time
12:30–22:00
Monday to Friday
Overlap with your working day
12:30–18:00
About 5.5 hours every day
Daily stand-up
13:00
Singaporean time, plus written updates every evening
What we set up for Singapore
Messaging channels
Languages
Local payments
Data hosting
AWS Asia Pacific (Singapore), Google Cloud asia-southeast1 and Azure Southeast Asia, in your own cloud account, so data stays where your rules require.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
LLM development company: questions from Singapore
Do you work with companies in Singapore?+
Yes. Clarigo Infotech works with companies across Singapore, including Singapore, as part of clients in 20+ countries. Singapore companies most often hire us for fintech, logistics and AI products for Southeast Asia. We work remotely from India with one in-house team.
What time-zone overlap do we get from Singapore?+
Singapore is two and a half hours ahead of India, so our working days overlap for most of the day, with same-day calls and replies.
How do you handle the Personal Data Protection Act (PDPA)?+
We design to the PDPA: consent, purpose limitation, protection and retention rules, with data hosted in Singapore cloud regions when required and NDAs signed before work starts.
Which currency do you bill in, and what does it cost?+
We bill in Singapore dollars (SGD) or US dollars. Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.
Do you support WhatsApp?+
Yes. Customers in Singapore often prefer WhatsApp and Telegram and LinkedIn, so we connect chatbots, notifications and support flows to them.
Do you work with finance and wealth companies?+
Yes. Finance and wealth is one of Singapore's key sectors, and we build AI agents, assistants and automation around these workflows.
What time are your meetings in Singaporean time?+
Our team works 12:30–22:00 Singaporean time, so we overlap with your day from 12:30–18:00. Daily stand-ups are usually at 13:00 your time.
How long does it take to build an LLM application?+
A focused LLM app for one workflow typically goes live in 25 to 30 days. Larger platforms are delivered in phases.
How much does LLM development cost?+
Cost depends on scope, integrations and usage. We give a scoped quote after a free consultation and explain both build cost and monthly running cost.
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