Three Services.
Defined Scope.
Clear Outcomes.
Each Sovanta service addresses a specific AI engineering challenge. Engagements are time-boxed, priced in Ringgit, and delivered with full documentation.
← Back to HomeHow Every Engagement Works
Scoping Call
We discuss your requirements, data environment, and constraints. No obligation at this stage.
Written Brief
A document specifying deliverables, acceptance criteria, timeline, and price. Agreed before any work begins.
Delivery
Work proceeds with milestone updates. You have direct access to the team throughout.
Handover
Final deliverable with documentation and a handover session. Your team leaves with full understanding.
Content Classification Engine
Development of automated systems that categorise documents, articles, images, or products into structured taxonomies. Covers taxonomy design consultation, training data preparation, and multi-label classification model development. Well-suited for media companies, e-commerce platforms, or knowledge management teams.
Included in This Engagement
- Taxonomy design consultation and documentation
- Training data preparation and labelling guidance
- Multi-label classification model development
- Model evaluation report with performance metrics
- API integration documentation
- Handover session with your engineering team
Delivery Steps
- 1Taxonomy design and approval (weeks 1–2)
- 2Data preparation and baseline model (weeks 3–5)
- 3Model refinement and evaluation (weeks 6–7)
- 4Documentation and handover session (week 8)
Voice Interface Design
Architecture and development of voice-activated features for your applications. Covers wake-word detection, intent parsing, and response generation — along with user journey mapping, natural language understanding setup, and backend integration. Designed for product teams exploring hands-free user experiences.
Included in This Engagement
- Voice user journey mapping documentation
- Wake-word detection configuration
- Intent parsing and NLU model development
- Response generation pipeline
- Integration with existing backend systems
- Technical documentation and handover
Delivery Steps
- 1Voice journey mapping and NLU design (weeks 1–2)
- 2Wake-word and intent model development (weeks 3–6)
- 3Backend integration and testing (weeks 7–9)
- 4Documentation and handover session (week 10)
Data Quality Assessment
A thorough audit of your datasets to evaluate completeness, consistency, accuracy, and fitness for machine learning applications. The assessment produces a detailed report highlighting issues, their potential impact on model performance, and a prioritised remediation plan. Ideal as a preliminary step before any AI development project.
Included in This Engagement
- Dataset completeness and consistency analysis
- ML fitness evaluation per use case
- Issue identification and impact assessment
- Prioritised remediation plan
- Written report (20–35 pages)
- Findings presentation to your team
Delivery Steps
- 1Data intake, scoping, and initial profiling (week 1)
- 2Detailed analysis and issue documentation (week 2)
- 3Report writing and findings presentation (week 3)
Service Comparison
| Feature | Classification | Voice Interface | Data Assessment |
|---|---|---|---|
| Price (from) | RM 2,500 | RM 3,900 | RM 900 |
| Duration | 8 weeks | 10 weeks | 3 weeks |
| ML model delivered | |||
| Backend integration | |||
| Written report included | |||
| Suitable as first project | If data ready | If data ready | |
| Best for | Media, e-commerce, KM | Product teams | Any organisation |
Not sure where to start? The Data Quality Assessment is a low-cost entry point that informs which development service to pursue next.
Applied Across All Services
Security & Confidentiality
Encrypted data storage, NDA on request, data deletion on project completion.
Performance Evaluation
Metrics agreed during scoping. Evaluation methodology documented and reproducible.
Direct Team Access
Clients communicate directly with the engineers doing the work — no intermediary layer.
PDPA-Aligned Practices
Data handling follows Malaysia's Personal Data Protection Act 2010 requirements.
Full Documentation
All deliverables include technical documentation written for your engineering team.
Handover Sessions
A live session at project end to walk through what was built and how to maintain it.
Service Pricing
Service 03
Data Quality Assessment
RM 900
per engagement · 3 weeks
- Dataset audit report
- ML fitness evaluation
- Remediation plan
- Findings presentation
Service 01
Content Classification Engine
RM 2,500
per engagement · 8 weeks
- Taxonomy design
- Multi-label classifier
- Evaluation report
- API documentation
Service 02
Voice Interface Design
RM 3,900
per engagement · 10 weeks
- NLU development
- Backend integration
- Voice journey maps
- Full documentation
Not sure which service fits your situation?
We are happy to discuss your data environment and recommend a sensible starting point — with no commitment required.
Book a Scoping Call