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Our Solutions

AI Solutions for Complex Information Tasks

Three focused services designed to help organisations process text data, recognise domain-specific entities, and curate large content repositories.

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Our Approach

We don't rush into development. Each engagement starts with learning your domain, understanding your workflows, and mapping your specific requirements before we build anything.

1

Discovery

Initial consultation to understand your needs, workflows, and constraints. We discuss what you want to accomplish and whether our services are a good fit.

2

Domain Learning

We study your field's terminology, annotation guidelines, decision processes, or content taxonomy. This phase ensures we build something relevant to your context.

3

Development

Iterative model building with regular check-ins. We share progress, gather feedback, and refine the approach based on your input throughout the process.

4

Validation

User testing with end users to ensure interfaces are intuitive and outputs are presented in useful ways. Performance evaluation against your specific criteria.

5

Deployment

Integration with your systems, comprehensive training for your team, documentation delivery, and handover with retraining workflows for future updates.

Our Services

AI-Assisted Decision Support

AI-Assisted Decision Support

SGD 1,720

Building systems that present decision-makers with structured, data-backed options rather than replacing human judgment. We design interfaces and models that surface relevant patterns, highlight potential outcomes, and quantify uncertainty — all within the context of your specific operational decisions.

Key Features:

  • Pattern recognition across complex datasets
  • Outcome probability quantification
  • Integration with existing data sources
  • Uncertainty visualization
  • Calibration framework for continuous improvement

Timeline:

Typically 8-12 weeks from initial consultation to deployment, depending on the complexity of decision workflows and available data sources.

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Named Entity Recognition Systems

SGD 1,150

Developing custom NER models that identify and classify domain-specific entities within your text data — people, organisations, products, regulations, medical terms, or any category meaningful to your operations. We go beyond generic NER by training models on your annotated corpus, capturing the terminology and naming conventions unique to your field.

Key Features:

  • Custom entity category definition
  • Annotation guideline development
  • Model training on your data
  • API endpoint deployment
  • Retraining workflow documentation

Timeline:

Generally 6-10 weeks depending on the number of entity categories and the annotation effort required to build a quality training corpus.

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Named Entity Recognition Systems
AI-Driven Content Curation

AI-Driven Content Curation

SGD 890

Creating intelligent content curation systems that organise, tag, and surface relevant material from large repositories — articles, research papers, internal documents, or multimedia assets. We build pipelines that understand content semantics rather than relying solely on metadata, enabling more meaningful discovery and organisation.

Key Features:

  • Semantic content understanding
  • Taxonomy design and implementation
  • Relevance scoring algorithms
  • User feedback integration
  • Editorial dashboard and analytics

Timeline:

Usually 5-8 weeks for initial setup and calibration, with ongoing refinement as the repository grows and user feedback accumulates.

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Service Comparison

Each service addresses different information processing needs. Here's how to choose which might fit your situation.

Feature Decision Support Entity Recognition Content Curation
Primary Use Support decision-making Extract and classify entities Organise and surface content
Best For Leadership teams, clinical settings Legal, pharma, financial firms Publishing, research departments
Data Input Structured and unstructured Text documents Documents, multimedia
Typical Timeline 8-12 weeks 6-10 weeks 5-8 weeks
Deliverables Decision tool, integration, framework Trained model, API, retraining docs Curation engine, dashboard, analytics

Technical Standards

Security & Privacy

Data handling compliant with Singapore's Personal Data Protection Act. Your data remains on your infrastructure unless cloud deployment is specifically chosen. Encryption in transit and at rest.

Documentation

Comprehensive technical documentation, user guides, and training materials. Clear explanations of model performance, limitations, and recommended usage patterns.

Integration

RESTful APIs for easy integration with existing systems. Support for standard data formats. Flexible deployment options including on-premise and cloud.

Performance Monitoring

Analytics dashboards showing system usage and performance metrics. Regular evaluation criteria based on your specific success factors.

Support

Initial training and handover included in all engagements. Optional ongoing support contracts available for model refinement and system updates.

Retraining

All deliverables include workflows for model updates. As your data evolves, you can retrain models or engage us for ongoing calibration assistance.

Let's Discuss Your Needs

We'd be happy to explore whether one of our services might fit your organisation's requirements. No pressure — just a conversation about what you're trying to accomplish.

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