AI Due Diligence Audit — Raffles Place, Singapore
AI & Technology Due Diligence Audit in Raffles Place
ELITIST SOFTWARE SOLUTIONS LLP helps investors, private equity firms, acquirers, lenders and founders in Raffles Place find out what a company's technology is really worth before they sign. We independently verify whether AI capabilities are genuine or built on third-party models, measure AI cost per user and per transaction, and assess architecture, code quality, security, data compliance, IP and team risk, delivering an investor-ready report with a clear verdict, scorecard and remediation roadmap.
AI & Technology Due Diligence Services in Raffles Place
AI Authenticity Assessment
Trace every AI call across code and workflows to separate proprietary models and fine-tunes from third-party API usage and hidden manual work, and assess how defensible the AI really is.
Independent AI Model Testing
Test AI performance on representative real-world cases against the accuracy and automation claims made to investors, including hallucination, bias and edge-case behaviour.
AI Cost & Unit Economics Review
Calculate AI inference cost per user, per transaction and as a share of revenue, model costs at 3x and 10x scale, and identify savings from routing, caching and smaller models.
Model Vendor Lock-in Review
Assess dependency on AI model providers, committed spend and data terms, and whether the business could switch providers without a rebuild if prices or terms change.
AI Security Assessment
Review prompt injection exposure, data leakage to model providers, AI agent permissions, model supply chain risk, secrets management and alignment with OWASP guidance.
Data Privacy & Compliance Review
Map personal data flows into AI systems and review consent, data transfers and technical controls against Singapore PDPA, plus EU AI Act exposure where relevant.
Code, Architecture & Scalability Audit
AI Due Diligence Across Raffles Place Sectors
Know what the AI is really worth before you invest or acquire in Raffles Place.
Investors, acquirers and enterprise buyers in Raffles Place, Singapore are increasingly evaluating fintech companies, banks, asset managers and venture-backed technology businesses that describe themselves as AI-driven. Singapore is Southeast Asia's leading hub for AI investment, regional headquarters and fintech. As capital becomes more selective, investors and acquirers need independent proof that AI products are genuine, cost-efficient and aligned with Singapore's data protection and AI governance expectations.
ELITIST delivers a fixed-scope, fully remote AI and technology due diligence audit using a structured 60-point framework across architecture, code quality, AI authenticity, infrastructure and unit economics, security, data and compliance, intellectual property, team and process, and product roadmap. We trace every AI call, independently test AI claims, model AI costs at scale, review controls against Singapore PDPA, and flag potential deal-breakers in a mid-point red-flag memo.
An investor-ready report with an overall verdict, a Red, Amber, Green scorecard, an AI reality check, a risk register with deal impact, AI unit economics, a cost-to-fix estimate and a prioritised remediation roadmap, so decision-makers in Raffles Place can proceed, renegotiate or walk away with confidence.
Frequently Asked Questions
An AI due diligence audit is an independent assessment of a company's AI capabilities and surrounding technology. It verifies whether the AI is genuine, performs as claimed, is owned by the company, is cost-efficient at scale, is secure and complies with data protection requirements, and estimates what it would cost to fix any issues found.
Yes. We work with investors, acquirers, lenders and founders in Raffles Place, Singapore through fully remote delivery, using read-only access to code, cloud and billing data and video interviews with the target's leadership, aligned to Singapore business hours.
We trace every AI call in the code and workflows to identify which models are used and what proprietary data, fine-tuning and workflow logic sits around them, then test the AI independently against the claims made to investors.
A Red Flag Scan typically takes about five working days, a Standard AI and technology due diligence takes two to three weeks, and a Deep buy-side review takes four to five weeks, starting once access and documents are provided.
Singapore businesses must comply with the Personal Data Protection Act 2012 (PDPA). Financial institutions must also follow the MAS Technology Risk Management Guidelines, and Singapore's Model AI Governance Framework and AI Verify testing toolkit set clear expectations for responsible AI. We review the technical controls behind these obligations; formal legal advice should come from qualified Singapore counsel.
AI model usage is a variable cost that grows with every customer interaction. If it is not measured per user or per transaction, it can quietly erode margins as the business scales, so we calculate it and model it at three and ten times current scale.
Yes. A vendor-side readiness audit uses the same framework investors apply, so founders can find and fix red flags in advance, answer technical questions confidently, shorten deal timelines and protect their valuation.
Every tier has a fixed scope and a fixed fee agreed before work starts, quoted in SGD or USD. The fee depends on the tier and the size of the target, and a Red Flag Scan fee can be credited towards a full audit if you upgrade.
Client Success Stories
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VP of Product, Innovate Digital
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Elena Rodriguez
Director of Operations, Nexus Logistics
Real work, delivered for a Raffles Place client.
AI & Technology Due Diligence Audit
Applied ELITIST's standard 60-point checklist across nine areas: architecture, code quality, AI authenticity, infrastructure and unit economics, security, data and compliance, intellectual property, team and process, and product roadmap. Every check was scored 0 to 3 and rolled up into a Red, Amber, Green scorecard.