Our Services
Three services, each with a clear delivery model
What we build, how we build it, what it costs, and how long it takes.
Back to HomepageMethodology
How every Aethon engagement is structured
Every service follows the same four-phase structure, creating clear review points and keeping both sides aligned throughout.
Discovery & Scoping
Map data, workflows, and objectives. Output: written scope with deliverables, timeline, and acceptance criteria.
Model Development
Data preparation, model training on client samples, iterative evaluation against agreed benchmarks.
Integration & Testing
Integration against your actual endpoints, end-to-end testing, performance verification in staging.
Deployment & Handover
Production deployment, documentation, team training session, 30-day post-launch support.
Solution 01
Intelligent Document Processing
Applies AI to extract, classify, and route information from unstructured documents — invoices, contracts, purchase orders, applications. Ideal for finance, legal, and administrative departments where manual document handling consumes significant staff time.
- Template configuration for your document types
- Model trained on samples from your actual document library
- Classification and routing logic integrated with existing systems
- Exception handling for documents outside trained categories
- Accuracy reporting and monitoring dashboard
Solution 02
Recommendation System Design
Development of personalised suggestion engines for products, content, or services. Covers user behaviour analysis, collaborative and content-based filtering, A/B testing frameworks, and platform integration. Suited for e-commerce, media, or education platforms seeking to improve user engagement without manual curation.
- User behaviour analysis and interaction data assessment
- Collaborative and content-based filtering approaches
- A/B testing framework for ongoing optimisation
- API integration with your frontend or backend platform
- Performance metrics dashboard and retraining guidelines
Solution 03
AI-Assisted Decision Support
A consulting and development engagement that builds analytical tools for management teams. Covers scenario modelling, risk scoring, and decision tree implementation within existing workflows. Designed for supply chain, healthcare administration, and financial planning environments where decisions are complex and stakes are high.
- Scenario modelling tool configured to your decision context
- Risk scoring logic trained on historical outcome data
- Decision tree or structured recommendation framework
- Integration with existing data sources or ERP systems
- UI or API endpoint depending on workflow requirements
Comparison
Which solution fits your situation
| Feature | Document Processing | Recommendation Engine | Decision Support |
|---|---|---|---|
| Best for | Finance, legal, admin | E-commerce, media, EdTech | Supply chain, healthcare, finance |
| Engagement duration | 4–6 weeks | 6–10 weeks | 6–8 weeks |
| Starting price (RM) | 2,000 | 3,500 | 4,100 |
| Requires training data | |||
| A/B testing framework | |||
| Scenario modelling | |||
| 30-day post-deploy support |
Across All Solutions
Standards that apply to every engagement
Security & Privacy
Signed DPA before any data access. Isolated project environments. PDPA-aligned throughout.
Performance Benchmarking
Performance targets defined at scoping, verified before handover, and documented with results.
Post-Deployment Support
30-day window included in every project. Direct access to the engineer who built the system.
Ready to Proceed?
Not sure which solution fits? Let us help you decide.
Share a brief description of your situation and we will suggest the most appropriate starting point.
Request a Quote