AI Services Designed for Your Organization
Three core engagements that address different stages of your AI journey, from establishing data foundations to deploying advanced analytical capabilities.
Our Methodology
A structured approach that balances technical rigor with practical delivery.
Discovery & Assessment
Every engagement begins with thorough understanding of your current state, objectives, and constraints. We assess data availability, team capabilities, technical infrastructure, and organizational readiness to ensure recommendations remain grounded in reality.
Collaborative Planning
We develop detailed project plans in partnership with your team, establishing clear milestones, success criteria, and communication protocols. This planning phase ensures alignment on scope, timeline, and expected deliverables before technical work begins.
Iterative Development
Our development follows an iterative approach with regular check-ins and intermediate deliverables. This allows for course correction based on emerging insights and ensures solutions evolve alongside your understanding of the problem space.
Validation & Refinement
All models undergo rigorous testing against appropriate benchmarks. We validate performance on held-out data, assess robustness across different scenarios, and refine approaches based on empirical results rather than theoretical optimality.
Knowledge Transfer & Handoff
Engagements conclude with comprehensive documentation, training sessions, and support for initial deployment. We ensure your team understands system operation, maintenance requirements, and how to extend capabilities as needs evolve.
Service Offerings
Detailed descriptions of each engagement type.
Data Strategy & Architecture
A consultative engagement that helps organizations design a robust, well-organized data foundation suited for current and future AI applications. We assess your existing data landscape, identify gaps in collection and storage practices, and propose an architecture that supports scalable analysis and model training.
Key Benefits
- Clear understanding of data assets and gaps
- Architecture blueprint for scalable growth
- Governance framework preventing future chaos
- Implementation roadmap with priorities
Engagement Process
Week 1-2: Current state assessment and stakeholder interviews
Week 3-4: Architecture design and governance framework development
Week 5-6: Documentation and implementation planning
Week 7-8: Review sessions and handoff preparation
Natural Language Processing Solutions
A development engagement focused on building text understanding and generation capabilities tailored to your domain-specific language and workflows. Whether you need document classification, sentiment analysis, entity extraction, or conversational interfaces, our team designs NLP pipelines that handle the nuances of your particular content.
Key Benefits
- Domain-adapted models for your specific content
- Thai and English language support
- Production-ready API integration
- Complete retraining documentation
Typical Applications
Document classification
Sentiment analysis
Entity extraction
Content summarization
Q&A systems
Chatbot development
Predictive Analytics Advisory
A structured service that helps organizations build and interpret predictive models for forecasting business outcomes such as demand, churn, revenue, or operational load. We work alongside your analysts to understand the questions that matter most, select appropriate modeling approaches, and deliver interpretable outputs that support thoughtful decision-making.
Key Benefits
- Models designed for business questions
- Interpretable outputs for confident decisions
- Interactive dashboards for exploration
- Two months ongoing advisory support
Common Use Cases
Demand forecasting
Customer churn
Revenue projection
Resource planning
Risk assessment
Performance metrics
Service Comparison
Understanding which engagement best fits your current needs.
| Feature | Data Strategy | NLP Solutions | Predictive Analytics |
|---|---|---|---|
| Duration | 8 weeks | 3-4 months | 2-3 months |
| Investment | ฿18,500 | ฿40,000 | ฿64,000 |
| Best for | Starting AI journey | Text-heavy workflows | Forecasting needs |
| Data Requirements | |||
| Model Development | — | ||
| API Integration | — | — | |
| Dashboard Development | — | — | |
| Follow-up Support | Available | Available | 2 months included |
| Documentation |
Data Strategy
Choose this if you're establishing foundational data practices or preparing for future AI initiatives.
Foundation BuildingNLP Solutions
Choose this if you work with significant text content and need automated understanding or generation.
Text ProcessingPredictive Analytics
Choose this if you need to forecast future outcomes and make data-informed operational decisions.
ForecastingTechnical Standards
Professional practices applied across all service engagements.
Security Protocols
Encryption at rest and in transit, access controls, secure development practices, and data disposal procedures following industry standards.
Version Control
All code maintained under version control with clear commit history, branching strategies, and code review processes for quality assurance.
Testing Standards
Comprehensive testing including unit tests, integration tests, and validation against held-out data with documented performance metrics.
Documentation
Complete technical documentation including architecture diagrams, API specifications, deployment guides, and maintenance procedures.
Ethical Review
Consideration of fairness, bias, and potential misuse in model development with documentation of limitations and appropriate use cases.
Support Protocol
Post-engagement support availability with clear escalation paths, response time commitments, and maintenance agreement options.
Ready to Explore These Services?
We're happy to discuss which engagement might best serve your organization's current objectives and constraints.
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