CONTEXQ PTE LTD
By CONTEXQ PTE LTDContexQ is a Singapore-based B2B AI startup founded in 2024, building enterprise graph analytics platforms for fraud detection, compliance, and risk management. We combine Composite AI, Decision Intelligence, and Dynamic Knowledge Graphs to analyze relationships in data that traditional AI systems miss. Our platform enables insurers, banks, and enterprises to detect fraud rings, assess network risks, and make intelligent decisions by understanding hidden connections between entities—something row-and-column analytics fundamentally cannot do. Core Focus Areas: - AI for Cybersecurity & Compliance: Threat detection, audit trails, risk analysis - Predictive Analytics & Forecasting: Risk scoring, fraud prediction, simulations - Customer Intelligence & Data Management: Entity resolution, unified risk profiles - Composite X-AI with Knowledge Graphs and Decision Intelligence Target Markets: Financial Services, Insurance, Banking, Automotive, Logistics & Supply Chain For Tasco Insurance, our AI Risk & Profitability Radar reduces claims ratio by detecting fraud networks, improving underwriting decisions, and increasing profit margins through relationship-native intelligence.
- Stage
- Prototype
- Industries
- Automotive and mobility
- Manufacturing
- Logistics
- Deployment
- Cloud (SaaS)
Why it is worth it
"Enterprise graph AI that detects fraud rings and hidden risks by analyzing relationships in data that traditional AI misses—at 10x lower cost and 6x faster deployment than global competitors." KEY DIFFERENTIATORS: 1. RELATIONSHIP-NATIVE INTELLIGENCE We don't just analyze claims—we analyze networks of connections between policyholders, agents, garages, and providers to expose collusion that row-and-column analytics cannot see. 2. COMPOSITE AI ARCHITECTURE Graph Neural Networks + Decision Intelligence + LLMs fused into one platform—not just another chatbot or rules engine. 3. 80% FRAUD RINGS DETECTED Graph-based approach catches organized fraud representing majority of insurance leakage but invisible to traditional methods. 4. < 12 MONTHS TO VALUE Enterprise deployment in ~6 months vs 18-36 months for Quantexa/Palantir, with 80% out-of-box functionality. 5. ASIA-FIRST, ENTERPRISE-GRADE Built for Asian regulatory environments, languages, and data formats at mid-market pricing ($200-500K vs $10M+). 6. QUANTEXA INSIDER EXPERTISE Founding team includes former Quantexa Head of Asia—deep knowledge of what enterprises need and where competitors fall short.
- 1. INVISIBLE FRAUD NETWORKS: 80% of organized insurance fraud operates through networks (policyholder + agent + garage + medical provider collusion). Traditional row-and-column analytics examining claims in isolation miss these patterns entirely—resulting in only 30% detection rates despite 10-15% of claims being fraudulent.
- 2. HIGH CLAIMS RATIO: Vietnam motor insurers face claims ratios of 55-75%, with significant leakage from undetected fraud rings, inflated claims, and suboptimal risk selection. Each 1% improvement directly impacts profitability.
- 3. NO RELATIONSHIP VISIBILITY: Customer data, claims history, agent networks, and repair shop relationships exist in silos. Insurers cannot detect that the same garage is linked to suspicious claims across multiple agents.
- 4. SLOW, EXPENSIVE INVESTIGATIONS: SIU teams spend 4-6 hours per case with no prioritization intelligence. 70% of investigated cases yield nothing. Manual processes don't scale.
- 5. External & Internal Data: We link with 400M+ External data comprising of entire company level supply chain, corporate hierarchies, directors, shareholders, financials, sanctions, adverse media news on individual/corporates and others with your internal data through advanced entity resolution to ensure "true" deduplication of entities.
- 6. GLOBAL SOLUTIONS PRICED OUT: Quantexa ($10-50M), Palantir ($10M+), Shift Technology ($1-3M) are too expensive for Asian mid-market insurers. 18-36 month implementations are impractical.
Opening the deck…
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Best customer profile
- Industry: Insurance (Motor, Property, Health), Banking, Financial Services
- Company Size: Mid-market to large enterprises ($50M - $5B in premiums/revenue)
- Geography: Asia-Pacific (Vietnam, Singapore, India, Thailand, Indonesia)
- KEY ROLES:
- Chief Risk Officer
- Chief Analytics Officer
- Head of Fraud / SIU
- Chief Digital Officer
- VP Claims Operations
- Global Business Head
- KEY PAIN POINTS:
- High claims ratio (55-75%) eroding profitability
- Low fraud detection rates (<30%) despite analytics investment
- Global vendors (Quantexa, Palantir) priced out of budget
- 18-36 month implementation timelines unacceptable
- Need explainable AI for regulatory compliance
- Data in silos with no relationship visibility across entities
- FOR TASCO SPECIFICALLY:
- Motor insurer with large distribution network (650+ showrooms)
- Digital-first with VETC integration (3.4M customers)
- Climbing to Top 10 ranking, needs technology edge
- Vietnamese market requiring local expertise and support
Notable paying customers
- We are startup and we have ongoing engagements with FI's in PH, MY and IND. and non-banks such as automobile and electronics with ongoing pilots and workshops.
RECOGNITION & VALIDATION: G20 TechSprint 2024 Finalist — Selected for cross-border financial crime solution UN SDG Innovation Finalist — Supply chain risk management use case FUNDING: $550K Funding Secured — Pre-seed/seed investment TECHNICAL ACHIEVEMENTS: 260M+ Corporate entities analysed — Proven entity resolution at enterprise scale 99% Entity Resolution Accuracy — Validated on BVD, S&P, BoardEx datasets 80% Out-of-Box Functionality — Pre-built schemas for insurance, banking, supply chain