AI Development Services

Intelligent Systems That
Work for You

We build practical AI solutions — custom-trained models, intelligent automation, and AI-powered features — that create measurable business value from day one, not just impressive demos.

What We Build

AI Solutions That Solve Real Problems

Every engagement is custom-scoped and hand-crafted. No templates, no shortcuts — just purposeful work that performs.

AI Chatbots & Virtual Assistants

Custom-built AI assistants trained on your business knowledge — for customer support, lead qualification, internal helpdesks, or guided product experiences. Deployed on your website, app, or messaging platform.

Intelligent Process Automation

Replace repetitive, rule-based workflows with AI that understands context. Document processing, data extraction, classification, and approval routing — automated with human-level accuracy.

AI-Powered Search & Recommendations

Semantic search, personalised product recommendations, and content discovery engines that understand user intent — not just keywords. Turn your data into a competitive advantage.

Custom ML Model Development

Predictive analytics, classification, and forecasting models trained on your own data. From churn prediction to demand forecasting — bespoke models that improve accuracy with every data cycle.

AI Integration into Existing Products

Add intelligent features to your existing WordPress site, web app, or internal tool — AI-generated content, smart tagging, sentiment analysis, image recognition, or dynamic personalisation layers.

AI Strategy & Consulting

Not sure where AI fits in your business? We audit your operations, identify the highest-ROI automation and AI opportunities, and give you a concrete implementation roadmap — with no vendor lock-in agenda.

Our Process

How We Deliver

AI projects carry unique complexity — our process is designed to validate assumptions early and avoid costly mistakes.

one

Scoping & Discovery

We map your data landscape, business objectives, and integration constraints. We define success metrics before the project begins.

two

Solution Design & Planning

Landscape analysis of AI tools and approaches, solution architecture design, and a phased implementation plan — reviewed and approved by your team.

three

Development & Iteration

Iterative development with regular demos and feedback loops. We build, test, and refine until the model or system performs to spec.

 

four

Deployment & Maintenance

Production deployment, monitoring dashboards, user training, and a handover plan — plus ongoing model maintenance as your data grows.

Industries We Serve

AI Solutions Across Every Sector

Every industry has data and repetitive processes — we help you turn both into competitive advantages.

Retail & eCommerce

Recommendation engines, demand forecasting, dynamic pricing, and AI-powered customer support chatbots.

Healthcare & Wellness

Clinical documentation automation, patient triage assistants, and diagnostic support tools.

Real Estate

Property valuation models, lead scoring, automated listing descriptions, and market trend analysis.

Education & eLearning

Personalised learning systems, automated assessment, content generation, and student support bots.

Professional Services

Contract analysis, document summarisation, research assistants, and client intake automation.

Logistics & Supply Chain

Route optimisation, predictive maintenance, inventory forecasting, and automated dispatch systems.

Finance & Banking

Fraud detection, credit scoring models, document extraction, and AI-powered financial reporting.

SaaS Platforms

AI feature layers, smart search, usage analytics, and automated onboarding workflows for SaaS products.

Technology

Our AI Tech Stack

Leverage the latest tools and technology for your enterprise.

Open AI GPT-4o

Claude (Anthropic)

Lang Chain

LlamaIndex

Python

TensorFlow

TensorFlow

PyTorch

PyTorch

Pinecone

Weaviate

AI development.

HuggingFace

AWS logo with Amazon smile, representing cloud computing for AI development.

AWS Bedrock

Google Cloud

Google Vertex AI

Why Microweb Global

Practical AI, Not Hype

We cut through the AI noise and build solutions that actually work in production — integrated into your real business operations.

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Business-First Approach

We start with the business problem, not the technology. Every AI solution we build is tied to a clear ROI metric — not just technical novelty.

Production-Ready Builds

We build AI systems that are reliable, observable, and maintainable in production — not just proof-of-concept demos that break at scale.

Your Data Stays Yours

Security and data governance are built in from day one. We architect solutions with data privacy, compliance, and access controls front and centre.

Global Reach, Local Rates

Sri Lanka-based AI engineering team. Global client base. We deliver enterprise-grade AI development — GPT-4o fine-tuning, RAG pipelines, custom ML models — at rates 50–60% more competitive than equivalent teams in the UK, US or Australia. Same quality, dramatically better value.

Do we need a lot of data to get started with AI?
Not always. Many powerful AI solutions — chatbots, document processors, search tools — use pre-trained foundation models that require minimal proprietary data. For custom ML models (like predictive analytics), we assess your data quality and quantity during discovery and advise honestly on feasibility.
 
Traditional chatbots follow rigid decision trees and break when users go off-script. AI-powered chatbots understand natural language, handle varied phrasing, learn from your business content, and hold contextual conversations — making them dramatically more effective for real customer interactions.
 
We architect every solution with data privacy in mind — including using enterprise API tiers (like OpenAI’s API) that do not use your data for model training by default. For sensitive industries, we can implement on-premise or private cloud deployments using open-source models with zero external data transfer.
 
A chatbot or document automation tool can be production-ready in 6–10 weeks. Custom ML models and larger AI integrations typically take 3–6 months depending on data readiness and complexity. We always build an MVP first so you see real results quickly.
 

Yes. We specialise in layering AI capabilities into existing systems — including WordPress sites, custom web apps, CRMs, and internal tools. You don’t need to rebuild anything from scratch to start benefiting from AI.

AI systems require ongoing care — model performance monitoring, retraining as data changes, prompt tuning, and platform updates. We offer flexible post-launch support plans and can act as your long-term AI engineering partner.
Yes — generative AI and LLM-based applications are a core specialisation. We build RAG (Retrieval-Augmented Generation) pipelines that connect foundation models like GPT-4o, Claude and Llama to your proprietary data, document libraries or knowledge bases — giving you the power of a frontier model with answers grounded in your specific business context. We also build custom fine-tuning pipelines for cases where a base model needs to be adapted to your domain, terminology or style.