Top 50 Ai Risk Scoring in Asia

The startup offers an AI-powered credit risk platform that utilizes machine learning algorithms to analyze extensive datasets, enabling lenders to make informed credit decisions. This technology allows businesses to efficiently build, validate, and deploy credit models throughout the entire credit lifecycle, enhancing accuracy in assessing customer credit performance.

The startup has developed an AI-based algorithm that predicts the risk of cerebral aneurysms by categorizing individuals into five distinct risk levels. This technology provides critical risk assessment tools for screening agencies, enhancing their ability to identify patients at varying levels of risk.

The company provides an AI-driven decision intelligence platform that unifies data ingestion, advanced analytics, and automated risk scoring for credit underwriting, transaction fraud detection, and regulatory compliance. Its core includes ApexDB, a Redis‑compatible distributed key‑value store delivering up to 1 M TPS with sub‑millisecond latency, and a privacy‑computing layer for secure multi‑party data collaboration. The solution is accessed via REST APIs, language‑agnostic SDKs, and a web dashboard, and can be deployed on‑premise, private cloud, or SaaS for banks, fintechs, insurers, e‑commerce platforms, and smart‑city operators.

Iris 6 is a cloud‑based AML platform that uses machine‑learning and natural‑language processing to automate name‑screening, transaction monitoring and alert resolution. It ingests heterogeneous data, applies dynamic risk scoring to cut false positives by up to 70 % and routes cases through configurable workflows via REST and gRPC APIs, helping banks and fintechs meet AML/KYC and sanctions requirements at scale.

Remedio is a configuration‑focused device hardening platform that continuously monitors Windows, macOS, Linux, cloud, and IoT endpoints, maps dependencies, and automatically enforces security policies. It provides one‑click remediation with instant rollback, AI‑driven risk scoring, and automated compliance mapping to CIS, NIST, and MITRE, accessible through a unified dashboard and API for enterprise security and IT operations teams.

Transparently.AI develops the Manipulation Risk Analyzer (MRA), an AI-driven tool that employs machine learning algorithms to analyze millions of data points and assess the likelihood of accounting fraud in companies. This technology enables financial institutions and auditors to quickly identify financial red flags, significantly reducing the time and resources needed for thorough investigations.

Transmit Security offers a cloud‑native platform that unifies customer identity and access management with AI‑driven fraud detection. The service provides passwordless and adaptive MFA, integrated KYC/AML verification, and real‑time risk scoring through standard APIs and SDKs for digital enterprises.

Knownwell is an AI platform that synthesizes natural communications, enterprise data, and public information to provide real-time health scores for client portfolios, enabling professional services firms to identify at-risk clients and growth opportunities. By delivering actionable insights, Knownwell enhances client retention and operational efficiency, allowing executives to make informed decisions that drive business success.

AllSecureX provides an AI-driven platform for hyperautomated cyber and business risk quantification. It uses quantum-safe modeling and a proprietary framework to translate security data into financial intelligence, enabling informed strategic decisions and enhanced security posture.

Noble provides a no-code decisioning platform that enables fintech companies to automate identity verification, underwriting, and ongoing risk monitoring for financial products. By leveraging AI-driven insights and proprietary risk models, Noble helps businesses efficiently assess customer creditworthiness and manage evolving portfolio risks.

The startup develops a property and casualty insurance platform that utilizes actuarial models to generate custom Loss Predictions and Risk Scores for insurers. This technology enables companies to accurately assess claims frequency, severity, and loss costs, facilitating better consumer tracking and personalized product offerings.

AdalFi provides a digital lending infrastructure that utilizes AI-powered credit scoring to enable real-time access to credit for consumers and small businesses. By partnering with banks, AdalFi facilitates the launch of various digital loan products, enhancing financial inclusion and streamlining the lending process.

Fineksi provides AI-driven credit decision services for financial institutions, utilizing advanced data analysis to enhance the accuracy and reliability of lending decisions. By streamlining the credit process, Fineksi reduces operational time by up to 45 times, minimizing risk and increasing profitability for its partners.

zypl.ai utilizes synthetic data to enhance credit scoring models for financial institutions in emerging markets, addressing the limitations of traditional models that often fail to account for atypical lending scenarios. By optimizing credit assessments, zypl.ai enables greater financial inclusion and access to credit for underserved populations.

The startup operates a digital lending platform that utilizes artificial intelligence and big data analytics to evaluate customer credit risk. By offering consumer and small business loans, it provides accessible financing solutions for small business entrepreneurs who face challenges in obtaining traditional loans.

The startup develops mobile and web-based alternative credit scoring platforms that utilize predictive analytics for real-time credit risk assessment. This technology enhances financial inclusion by providing access to credit for consumers with limited or no access to traditional financial services.

The startup offers a third-party risk management platform that utilizes AI to enhance human decision-making by validating controls and providing a detailed audit trail. This platform replaces traditional continuous monitoring with ongoing assessments, significantly reducing the time and cost associated with TPRM evaluations for financial institutions.

Sedric is a risk and compliance platform that utilizes an AI-driven model to automate monitoring and policy execution for financial institutions, ensuring 100% coverage of customer interactions across multiple channels. By streamlining compliance workflows and providing real-time risk analysis, Sedric enhances operational efficiency and reduces the time spent on manual compliance tasks.

The startup develops an AI credit underwriting platform that utilizes generative AI models with voice, vision, and language capabilities to assist credit teams in generating tailored credit reports. This technology enhances underwriting speed and reduces costs, addressing the inefficiencies in credit assessment processes in emerging markets.

Provides a real-time AI reliability platform that auto-trains custom detection models to identify and prevent inaccuracies, hallucinations, and policy breaches in AI-generated outputs. By enforcing compliance and enabling instant monitoring, it reduces legal risk and ensures consistency across applications, with a 99.6% error detection rate and 20 ms latency.

Heru is an AI-powered platform that assesses individual financial health to identify insurance risk gaps and coverage deficiencies. It provides objective, data-driven recommendations for optimized insurance protection, free from sales pressure.

nSure.ai provides a dedicated machine learning model that specializes in fraud prevention for high-risk digital transactions, ensuring real-time decision-making with approval rates up to 98%. The platform guarantees 100% liability for fraud-related chargebacks, significantly reducing financial risk for businesses in sectors like crypto, gaming, and prepaid cards.

Tarfin is a mobile‑first marketplace that aggregates more than 1,200 authorized agricultural retailers across Turkey, letting farmers compare real‑time prices and order seeds, fertilizers, feed, and equipment for same‑day pickup. The platform provides zero‑interest, harvest‑time deferred payment contracts powered by a machine‑learning risk‑scoring engine, enabling cash‑free procurement aligned with the farmer’s revenue cycle.

LINE5 provides an AI-powered platform that automates contract review and risk assessment for legal teams. Its NLP and ML models extract key data, identify clauses, and monitor compliance, streamlining contract lifecycle management and reducing exposure to liabilities.

The startup develops a sustainability platform that utilizes artificial intelligence to generate hyperlocal risk maps and automated climate risk diagnostics for natural disasters like floods and earthquakes. This technology enables public and private enterprises to implement tailored climate action plans and manage climate-related risks effectively.

Crediwatch provides a credit risk intelligence platform that automates credit assessment and continuous business monitoring using alternative data and analytics. This technology enables lenders and businesses to mitigate credit losses and identify growth opportunities by accurately evaluating borrower financial health and monitoring potential risks.

Adeptiv AI provides a unified platform for automated AI governance, risk management, and compliance tracking. The system manages the entire AI lifecycle from inventory to real-time risk detection and documentation. This solution helps enterprises adhere to evolving global regulations like the EU AI Act and NIST AI RMF in an auditable manner.

Ballerine is an open-source platform that customizes identity risk processes using AI-driven analytics to monitor and verify small and medium-sized businesses (SMBs) throughout their lifecycle. The platform addresses compliance with card schemes and fraud prevention, enabling financial institutions to efficiently manage risk while reducing operational costs.

Synnax utilizes a decentralized machine learning network to provide real-time, unbiased credit intelligence by aggregating financial performance predictions from multiple models. This platform enables private and public companies to demonstrate creditworthiness while maintaining data privacy, addressing the limitations of traditional credit rating systems.

The startup offers an assessment platform that identifies and evaluates risks associated with artificial intelligence projects, ensuring compliance with quality requirements and governance standards. By providing tailored risk management strategies, the platform enables companies to mitigate potential issues and streamline AI deployment processes.

Siam Digital Lending offers an AI-powered mobile platform for personal loans, nano-finance, and vehicle financing in Thailand. It streamlines credit access with rapid approvals and equitable lending through advanced AI credit scoring, serving individuals who may face challenges with traditional banking.

The startup offers a digital mortgage lending platform that utilizes artificial intelligence for credit scoring and automated document verification to streamline the mortgage application process. By enabling users to apply to multiple banks with a single data submission, the platform simplifies access to tailored mortgage products and enhances the homeownership journey.

The startup offers a real-time payment fraud detection platform that utilizes machine learning and alternative data for risk scoring, case management, and analytics across credit and debit card transactions. This technology helps financial institutions and insurance companies mitigate losses from fraud, comply with anti-money laundering regulations, and enhance customer management.

Bold provides Deep Adaptive Intelligence that integrates structured and unstructured data to identify significant risks and opportunities for national security and corporate organizations. By continuously adapting to new information, Bold enables users to make informed decisions with enhanced confidence and precision.

PredictRAM utilizes AI-driven analytics to assess the impact of financial market movements and economic events on various asset classes, enhancing individual portfolio risk management. By providing customized risk analysis and tailored ETF solutions, the platform enables investors to effectively mitigate financial risks and optimize their investment strategies.

Safelog.ai offers a smart employee background screening platform that utilizes intelligence scoring and crowdsourced reporting to evaluate the reliability of job candidates. This technology provides companies with enhanced visibility into potential hires, helping them mitigate risks associated with employee trustworthiness.

Privaini utilizes an AI-powered engine that integrates over 100 data sources to generate a privacy risk score based on a company's privacy practices and third-party activities. This solution enables enterprises to identify high-risk partners and maintain compliance with global data privacy regulations, thereby mitigating potential legal and reputational risks.

This fintech startup utilizes a machine learning-based system to evaluate diverse data points, including banking history, income, and social media activity, to determine personalized credit limits for under-banked individuals. By providing tailored financial products, the company enhances access to essential financial services for those traditionally excluded from mainstream banking.

Simplifa AI offers a sophisticated platform that utilizes machine learning and optical character recognition to automate financial data processing, analysis, and fraud detection. The technology addresses inefficiencies in risk operations and high non-performing loan rates by providing actionable insights and significantly reducing the time required for financial evaluations.

Care Daily provides an AI‑driven AmbientOS platform that unifies ambient sensors, wearable data, and electronic health records into a HIPAA‑compliant intelligence layer for senior‑living and home‑care providers. The system continuously monitors behavioral, environmental, and physiological signals to generate predictive alerts such as fall‑risk scores and automated daily risk dashboards, reducing manual charting and enabling real‑time care decisions. Open APIs and licensed AI Ambient Assistants allow third‑party AgeTech and HealthTech vendors to integrate and extend the solution within their own products.

Agrigator provides an AI-driven financing platform that automates credit scoring, underwriting, and loan disbursement for farms and agribusinesses using satellite imagery, IoT sensor data, and financial records. The system delivers digital funds within 48 hours and offers repayment schedules that align with planting and harvest cycles. It also supplies APIs for integration with farm management software and real‑time performance dashboards.

Hapticware offers a B2B SaaS platform that uses AI to automate identity verification, risk assessment, and compliance processes for financial institutions. Their suite of tools provides real-time insights and intelligent decision-making across the fintech lifecycle, replacing manual workflows. This allows for faster, more compliant financial workflows from onboarding to risk management.

Mula-X provides a digital lending and learning platform that utilizes alternative data and AI/ML credit scoring methods to offer instant access to loans for underserved communities in Southeast Asia. The platform addresses financial exclusion by enabling employees to access their earned wages on demand and providing educational resources to improve financial literacy and management.

AND Solutions provides a suite of fintech products, including loan origination and management systems, intelligent document processing, and custom credit scoring solutions, all accessible via API. These tools leverage AI and machine learning to streamline lending processes and provide credit scoring using both traditional and alternative data sources.

The startup develops an artificial intelligence platform that utilizes retinal scans to predict health risks associated with cardiovascular, kidney, and eye diseases. This technology enables early detection, allowing healthcare providers to implement preventive measures in primary care settings.

UCare.ai utilizes predictive AI and online machine learning to provide real-time risk assessments and personalized hospital bill estimates, enhancing price transparency and resource allocation in healthcare. The platform optimizes claims processing by detecting anomalies in medical claims, thereby reducing costs for payers and improving care efficiency for providers.

Seenity provides an AI-driven risk assessment platform that integrates internal and external data sources to deliver real-time insights and predictive modeling tailored to organizational needs. This technology enhances decision-making accuracy and operational efficiency while maintaining data security within a distributed architecture.

TRST Score is an employee risk mitigation platform that utilizes AI-driven background verification to assess the antecedents of employees, agents, and gig workers in under 60 seconds. The platform addresses significant financial losses due to employee fraud, no-shows, and moonlighting by providing a centralized repository for reporting and verifying human risk factors.

The startup offers an actuarial and risk management platform that utilizes machine learning to enhance compliance and risk assessment for insurance companies. By providing a holistic tool for accurate capital predictions, the platform enables insurers to optimize their capital management and improve profitability.

Traick provides an AI-powered platform that analyzes thyroid ultrasound images to detect nodules and assess malignancy risk. The software automates TIRADS scoring and provides objective data to support radiologists in their diagnostic workflow.