Applied Intelligence for Decisive Advantage
cognisspaer develops machine learning systems that address specific business challenges in regulated environments. Our team works with financial institutions, innovation teams, and knowledge-intensive organisations across Singapore to implement AI solutions with clarity about capabilities, limitations, and compliance requirements.
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+65 6475 8312
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Our Engagement Models
We offer three distinct pathways for organisations seeking to implement machine learning capabilities, each designed for different stages of maturity and specific use cases.
AI for Financial Services
Specialised consulting and development for financial institutions navigating the complexities of applying machine learning to regulated environments.
- Credit scoring model enhancement and validation
- Transaction monitoring and pattern detection
- Regulatory document processing automation
- Model explainability and audit documentation
Duration: 8-14 weeks
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AI Prototyping Sprint
A rapid, structured engagement designed to produce a working AI prototype within a condensed timeframe to inform your next strategic decisions.
- Focused problem definition and scope alignment
- Data assessment and feasibility analysis
- Rapid model development and demonstration
- Technical assessment and decision-support brief
Duration: 2-3 weeks
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Semantic Knowledge Extraction
Development of systems that identify and extract meaningful concepts, relationships, and entities from your unstructured data sources.
- Entity recognition and relationship mapping
- Domain-specific terminology integration
- Intelligent search and categorisation systems
- Quality validation and integration support
Duration: 6-10 weeks
Explore OptionsConsidering an AI Implementation?
Our team is available to discuss your specific requirements, assess technical feasibility, and outline a practical path forward. Reach us by phone or email to arrange an initial conversation.
Frequently Asked Questions
Common enquiries about our AI consulting and development services
How do you determine if an AI solution is appropriate for our use case?
We begin with a structured assessment of your problem domain, available data, success criteria, and operational constraints. This includes examining data quality and volume, defining measurable outcomes, identifying integration requirements, and evaluating regulatory considerations if applicable. Our prototyping sprint is specifically designed for organisations uncertain about technical feasibility.
What industries do you primarily work with?
Our primary focus areas include financial services (banking, insurance, fintech), professional services requiring knowledge extraction (legal, consulting, research), and innovation teams within established organisations exploring machine learning applications. We work with organisations across Singapore that operate in environments where model explainability, compliance, and audit readiness are important considerations.
What is your typical engagement process?
Engagements typically follow this structure: initial consultation to understand requirements and assess fit, scoping session to define objectives and deliverables, development phase with regular progress reviews, validation and testing against agreed criteria, and handover with documentation and knowledge transfer. For prototyping sprints, the timeline is compressed but follows similar principles.
How do you approach data privacy and security?
Data handling protocols are established at the beginning of each engagement, tailored to your specific compliance requirements. We work within your existing security infrastructure whenever possible, support on-premise development environments if required, implement appropriate access controls and encryption, and provide detailed documentation of data processing activities for your records.
What happens after project delivery?
All engagements conclude with comprehensive handover documentation, including technical specifications, model documentation, integration guides, and maintenance recommendations. We can arrange ongoing support agreements if you require assistance with monitoring, refinement, or expansion of the implemented systems. Many clients begin with a prototyping sprint and then proceed to full implementation.
What are your pricing structures?
Our engagements are priced based on scope and complexity. The AI Prototyping Sprint begins at SGD 580 for a focused 2-3 week engagement. Semantic Knowledge Extraction projects start at SGD 1,280 for 6-10 weeks of development. Financial Services engagements begin at SGD 1,850 for 8-14 weeks, reflecting the additional compliance and documentation requirements. All pricing is provided upfront with clear deliverables.
Our Location
Visit us at our Singapore office
Get in Touch
Discuss your AI project requirements with our team
Phone
+65 6475 8312
Available for direct enquiries
Address
158 Cecil Street, #09-01
Singapore 069545
Business Hours
Monday - Friday: 9:00 AM - 6:00 PM
Saturday: 10:00 AM - 2:00 PM
Sunday: Closed
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