AI-Powered Solutions for Singapore Businesses

AI Development Company Singapore

We build AI-powered applications, intelligent chatbots, predictive analytics platforms, RAG systems, and LLM integrations that solve real business problems. From prototype to production, backed by deep expertise in modern AI infrastructure.

100+

Projects delivered

6-16

Weeks to production

GPT-4o

Claude, Llama & more

EDG

Grant eligible projects

What We Build

AI Development Services

End-to-end AI development from model selection and data engineering to production deployment and monitoring. We work across the full spectrum of modern AI capabilities.

LLM Integration & Fine-Tuning
Integrate OpenAI GPT-4, Anthropic Claude, Llama, Mistral, and other large language models into your applications. We handle prompt engineering, fine-tuning on your domain data, and building robust API pipelines for production-grade AI features.
  • Prompt engineering & optimisation
  • Domain-specific fine-tuning
  • Multi-model orchestration
  • Token cost optimisation
AI Chatbots & Virtual Assistants
Build intelligent conversational agents that understand context, handle multi-turn dialogue, and integrate with your existing systems. From customer support bots to internal knowledge assistants powered by your company data.
  • Multi-turn conversation memory
  • CRM & helpdesk integration
  • Multilingual support
  • Handoff to human agents
Predictive Analytics & Recommendations
Deploy machine learning models for demand forecasting, customer churn prediction, dynamic pricing, and personalised recommendation engines. Turn your historical data into actionable business intelligence.
  • Time-series forecasting
  • Churn prediction models
  • Recommendation engines
  • Anomaly detection
RAG Systems
Build Retrieval-Augmented Generation pipelines that ground LLM responses in your proprietary data. We design vector databases, chunking strategies, embedding pipelines, and hybrid search to minimise hallucinations and maximise accuracy.
  • Vector database architecture
  • Hybrid search (semantic + keyword)
  • Document chunking strategies
  • Evaluation & accuracy testing
Computer Vision
Implement image classification, object detection, OCR, and visual inspection systems. From quality control on manufacturing lines to document digitisation and real-time video analytics for retail or security.
  • Object detection & classification
  • OCR & document digitisation
  • Visual quality inspection
  • Real-time video analytics
AI Agents & Workflow Automation
Design autonomous AI agents that plan, reason, and execute multi-step tasks. We build agent frameworks using tool-calling, function execution, and orchestration layers to automate complex business workflows end-to-end.
  • Tool-calling & function execution
  • Multi-agent orchestration
  • Workflow state management
  • Human-in-the-loop controls

Real-World Impact

AI Use Cases for Business

Practical AI applications that deliver measurable ROI. These are the problems our clients bring to us most often, and the solutions we have shipped to production.

Customer Support Automation

Reduce ticket volume by 40-60% with AI agents that resolve common queries, escalate complex issues, and learn from every interaction. Integrates with Zendesk, Freshdesk, and custom CRM systems.

Document Processing & Extraction

Automate invoice processing, contract analysis, and compliance checks. Extract structured data from unstructured documents using OCR, NER, and LLM-based parsing with human-in-the-loop validation.

Intelligent Semantic Search

Replace keyword search with vector-based semantic search that understands intent and context. Build internal knowledge bases where employees find answers in seconds across thousands of documents.

Sales & Demand Forecasting

Predict revenue, inventory needs, and market trends with time-series models and ensemble methods. Reduce stockouts by 25% and improve planning accuracy with ML-driven forecasting pipelines.

Content Generation & Copywriting

Generate product descriptions, marketing copy, and personalised email campaigns at scale. Custom-trained models that match your brand voice while maintaining factual accuracy through grounding techniques.

Process Automation with AI Agents

Build AI agents that handle multi-step workflows: data entry, report generation, lead qualification, and cross-system orchestration. Reduce manual effort by 70% on repetitive operational tasks.

Industries

AI Solutions Across Industries

AI creates value in every sector. We have delivered AI-powered solutions across these industries in Singapore and the wider APAC region.

Financial Services

Fraud detection, credit scoring, automated compliance checks, and intelligent document processing for banks, insurers, and fintech companies.

E-Commerce & Retail

Personalised product recommendations, dynamic pricing, inventory forecasting, and AI-powered customer service across online and offline channels.

Healthcare & Biotech

Medical image analysis, clinical document summarisation, patient triage chatbots, and drug interaction databases with semantic search.

Logistics & Supply Chain

Route optimisation, demand forecasting, warehouse automation, and predictive maintenance models for fleet management.

Real Estate & PropTech

Property valuation models, AI-powered interior design tools, tenant screening automation, and market trend prediction.

Manufacturing

Visual quality inspection, predictive maintenance, production scheduling optimisation, and digital twin simulations.

Education & EdTech

Adaptive learning platforms, automated essay grading, AI tutors with personalised curricula, and content generation tools.

Professional Services

Contract analysis, knowledge management systems, automated report generation, and intelligent research assistants for legal and consulting firms.

Technology

Our AI Tech Stack

We choose tools based on your project requirements, not hype. Our team has production experience across the leading AI frameworks, model providers, and infrastructure platforms.

LLM Providers

OpenAI GPT-4oAnthropic ClaudeLlama 3MistralGemini

Frameworks

LangChainLlamaIndexVercel AI SDKSemantic KernelCrewAI

Vector Databases

PineconeWeaviateQdrantpgvectorChromaDB

Languages & Runtime

PythonTypeScriptNext.jsFastAPINode.js

Infrastructure

AWS BedrockAzure OpenAIVercelDockerKubernetes

ML & Data

PyTorchHugging Facescikit-learnPandasMLflow

Case Study

SleekRender: AI-Powered Interior Design

We built SleekRender, an AI-powered interior design tool that transforms room photos into professionally styled renders in seconds. Combining computer vision, generative AI models, and a seamless user interface, SleekRender demonstrates what happens when deep AI expertise meets thoughtful product design.

  • Generative AI for photorealistic room transformations
  • Sub-10-second processing with optimised inference pipeline
  • Multiple design styles from a single source image
  • Built with Next.js, Python, and custom model orchestration

10s

Average render time per room transformation

15+

Design styles available out of the box

Next.js + Python

Full-stack AI product built end-to-end by SleekDigital

How We Work

Our AI Development Process

A structured approach that de-risks AI projects and delivers working software fast. Every engagement starts with validation before scaling to production.

Step01

AI Consultation & Discovery

We assess your business processes, data assets, and goals to identify high-impact AI opportunities. You get a clear roadmap with feasibility analysis, expected ROI, and recommended tech stack before any code is written.

Step02

Prototype & Proof of Concept

We build a working prototype in 2-4 weeks to validate the approach with real data. This de-risks the project, demonstrates tangible value to stakeholders, and refines requirements before full development begins.

Step03

Build, Train & Integrate

Full development with iterative sprints. We engineer data pipelines, train or fine-tune models, build the application layer, and integrate with your existing systems. Rigorous testing ensures accuracy, latency, and reliability targets are met.

Step04

Deploy, Monitor & Optimise

Production deployment with comprehensive monitoring for model drift, latency, cost, and accuracy. We set up evaluation frameworks, A/B testing, and continuous improvement loops so your AI system gets smarter over time.

Business Impact

How AI Delivers ROI for Singapore Businesses

AI is not a cost centre. When implemented correctly, it drives measurable returns through efficiency gains, revenue growth, and competitive advantage. Here is what our clients typically achieve.

40-60%Reduction in support ticket volume

AI chatbots and automated triage handle routine queries, freeing your team for complex issues that require human judgment.

70%Less time on manual data processing

Document extraction, data entry, and report generation automated with AI agents that work 24/7 without errors.

25%Improvement in forecast accuracy

ML-driven demand forecasting and sales prediction models that learn from your historical data and market signals.

3-6 monthsTypical payback period

Most AI projects recoup their investment within two quarters through direct cost savings and productivity gains.

Why SleekDigital

A Singapore AI Development Team That Ships

We are not a consultancy that delivers slide decks. We are engineers who build and deploy AI systems to production.

Production AI Experience
We have shipped AI-powered products to real users. From RAG-based knowledge systems to generative AI tools, our work runs in production, not just in notebooks.
Full-Stack Capability
AI models are only useful inside well-built software. We handle the entire stack: data engineering, model integration, frontend, backend, and deployment infrastructure.
Singapore-Based Team
Local team in Singapore with direct communication, no timezone gaps, and deep understanding of the Southeast Asian business landscape and regulatory environment.
Model-Agnostic Approach
We recommend the right model for the job, whether that is GPT-4o for general reasoning, Claude for long-context tasks, or an open-source model for data privacy requirements.
EDG Grant Support
Experienced in helping Singapore businesses structure AI projects to qualify for Enterprise Development Grant funding, reducing your out-of-pocket investment by up to 50%.
Prototype-First Methodology
Every AI project starts with a working proof of concept in 2-4 weeks. You validate results with real data before committing to full-scale development.

FAQ

AI Development Questions Answered

Common questions from Singapore businesses exploring AI development. If your question is not covered here, reach out for a free consultation.

How much does AI development cost in Singapore?
AI development projects in Singapore typically range from S$30,000 to S$150,000+, depending on complexity. A simple chatbot or LLM integration may start around S$30,000-S$50,000, while a full RAG system with custom fine-tuning, multiple data sources, and production infrastructure can exceed S$100,000. We provide a detailed estimate after the initial consultation based on your specific requirements, data readiness, and desired outcomes.
What AI models do you work with?
We work with all major LLM providers and frameworks. This includes OpenAI (GPT-4o, GPT-4 Turbo), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus), Meta (Llama 3), Mistral, and Google (Gemini). For specialised use cases, we fine-tune open-source models on your domain data or deploy models on-premise for data sovereignty requirements. Our model selection is guided by your performance, cost, and privacy constraints.
How long does it take to build an AI application?
Most AI projects take 6-16 weeks from consultation to production deployment. A focused chatbot or LLM integration can be delivered in 6-8 weeks. More complex systems involving RAG pipelines, custom model training, or multi-agent workflows typically require 10-16 weeks. We deliver a working prototype within the first 2-4 weeks so you can validate the approach early.
Do you provide AI consulting services?
Yes, we offer a free initial AI consultation where we assess your business processes, data infrastructure, and goals to identify the highest-impact AI opportunities. For deeper engagements, our AI strategy consulting covers technology selection, data readiness assessment, build vs. buy analysis, and a phased implementation roadmap with clear ROI projections.
Can AI development projects qualify for the EDG grant?
Yes, AI development projects can qualify for the Enterprise Development Grant (EDG) administered by Enterprise Singapore. Eligible companies can receive up to 50% funding support (up to 70% for SMEs in certain categories). We have experience helping clients structure their AI projects to meet EDG requirements and can assist with the application process.
How do you handle data privacy and security for AI projects?
Data security is built into every layer of our AI development process. We support on-premise deployments, private cloud hosting on AWS/Azure Singapore regions, and data anonymisation pipelines. For projects using third-party LLM APIs, we implement data redaction and use zero-retention API agreements. All projects comply with PDPA requirements and we can accommodate industry-specific compliance needs.
What is RAG and why does it matter for business AI?
Retrieval-Augmented Generation (RAG) is a technique that connects large language models to your proprietary data sources, such as documents, databases, and knowledge bases. Instead of relying solely on the model's training data, RAG retrieves relevant context before generating a response. This dramatically reduces hallucinations, keeps answers grounded in your actual business data, and means you don't need to retrain the model when your information changes.

Ready to Build AI-Powered Software?

Whether you need a chatbot, a RAG system, predictive analytics, or a fully autonomous AI agent, we will help you go from idea to production. Start with a free AI consultation.