AI pilots that never ship
A demo wowed everyone, then it stalled — turning a prototype into reliable production software is the hard part.
AI & LLM Development
Custom AI & LLM Software, Built Around Your Business
AI assistants and agents, retrieval-augmented (RAG) knowledge systems, document AI, and LLM features built into your software — designed, governed, and supported in Singapore, with your data kept yours.
AI and LLM software, built for production — not demos
The hard part of AI isn’t the demo — it’s shipping something reliable, private, and useful inside a real business. We build that: AI assistants and agents, retrieval-augmented (RAG) systems that answer from your own knowledge, document AI, and LLM features embedded into your software.
This is custom AI & LLM development — not a generic chatbot bolted on. We connect the model to your data and workflows, add guardrails and human-in-the-loop where judgement matters, and put it behind proper access controls so sensitive information never leaks to a model.
We’re an AI-native software team — we use AI to build faster, and we run our own AI products like Automiq. If your need is automating operations rather than building bespoke AI, start with AI Workflow Automation.
Sound familiar?
Generic AI doesn’t know your business
Off-the-shelf chatbots can’t answer from your documents, your data, or your processes.
Worried about data and accuracy
You can’t send sensitive data to a black box, and you can’t ship answers you’re unable to trust.
What You Get
Everything connected, nothing manual
AI Assistants & Agents
Assistants that answer, draft, and take actions inside your workflows — in your tone, on your data.
RAG Knowledge Systems
Answer questions from your own documents and data — accurate, sourced, and always up to date.
Document AI
Extract, classify, and summarise invoices, forms, contracts, and emails automatically.
LLM Features in Your Software
Add AI search, drafting, summarisation, and classification into your existing or new product.
Human-in-the-Loop & Guardrails
AI drafts and routes; your team approves where judgement matters — with evals and guardrails for reliability.
Private & PDPA-Compliant
Your data stays yours — private deployments and controls so sensitive information never leaks to a model.
What We Build
What we build with AI and LLMs
Practical AI that does real work in your business:
AI Assistants & Copilots
Customer-facing or internal assistants that answer, draft, and act — grounded in your data and tone of voice.
RAG Knowledge Bases
Ask questions of your policies, manuals, and records and get accurate, sourced answers — not guesses.
Document AI & Extraction
Read invoices, forms, contracts, and emails; extract fields, classify, and route — no more manual data entry.
AI Agents & Workflows
Multi-step agents that complete tasks across your tools, with approvals where they matter.
LLM Features in Products
Add AI search, summarisation, drafting, and classification into your existing software or SaaS.
Private & On-Your-Data Models
Deployments and controls that keep sensitive data in your environment, not in a public model.
How We Work
How we ship AI you can trust
- 1
Find the right use case
We start with a high-value, well-bounded problem where AI genuinely helps — not AI for its own sake.
- 2
Prototype & evaluate
We build a quick prototype and measure it against real examples, so you see accuracy before committing.
- 3
Ground it in your data
We connect the model to your documents, data, and tools — with retrieval and guardrails for reliable answers.
- 4
Add human-in-the-loop
AI drafts and routes; people approve where judgement matters, and the system learns from corrections.
- 5
Deploy privately & securely
We deploy with access controls and PDPA-grade data handling, so sensitive information stays protected.
- 6
Monitor & improve
We track accuracy and cost in production, run evals, and tune the system as your needs and the models evolve.
Tech & Approach
A model-agnostic, governed approach
We pick the model and architecture for accuracy, cost, and data control — and keep you free to switch.
Models
- Claude
- OpenAI
- Open-source / self-hosted
- Model-agnostic
Retrieval & memory
- RAG
- Vector databases
- Embeddings
- Knowledge bases
Reliability
- Guardrails
- Evals & testing
- Human-in-the-loop
- Monitoring
Privacy & security
- Private deployment
- PDPA controls
- Access control
- No data leakage
Why AppTech
Why build your AI with AppTech
We ship AI, not slideware
We run our own AI products and build AI-native software — we know how to get from demo to dependable production.
Your data stays yours
Private deployments, access controls, and PDPA-grade handling so sensitive data never leaks to a model.
Model-agnostic
We choose the right model for accuracy, cost, and privacy — and design so you’re never locked to one vendor.
Reliability built in
Guardrails, evals, and human-in-the-loop so you ship answers you can actually trust.
Enterprise architects
Built by people who’ve delivered large-scale systems for government and corporates — AI on a sound foundation.
Singapore-based & EDG-fundable
Local team and accountability, and qualifying AI projects can be co-funded by the Enterprise Development Grant.
Related services & reading
Frequently Asked Questions
How is this different from hiring a dev agency?
Two things: we build from proven platform foundations rather than from scratch, and we use AI-assisted development — so delivery is faster and the result is a maintainable system, not a one-off codebase.
What does a typical project cost and take?
It depends on scope, but starting from platform modules means first working versions in weeks. We scope a roadmap with you in the free consultation before any commitment.
Who owns the software?
Arrangements are flexible — from licensed platform customisation to full bespoke builds. We’ll recommend the structure that fits your budget and IP needs.
Will our data be sent to a public AI model?
Only if you want it to. We design for privacy first — private or self-hosted deployments, strict access controls, and PDPA-grade handling — so sensitive data stays in your environment and never trains a public model.
How do you stop AI from making things up?
We ground the model in your actual data using retrieval (RAG), add guardrails, and keep a human in the loop where judgement matters. We also measure accuracy with evals before and after launch, rather than hoping it works.
Which AI model do you use?
We’re model-agnostic — Claude, OpenAI, or open-source/self-hosted — and choose based on accuracy, cost, and your data-privacy needs. We design so you can switch models later without rebuilding.
See what ai & llm development could look like in your business
Free workflow assessment — we map your current operations and show you exactly what to automate first.