finbots.ai
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About
finbots.ai provides an AI-driven credit risk management platform called creditX, designed to help financial institutions automate and optimize their lending decisions. The platform leverages machine learning algorithms to analyze internal, external, and alternative data sources, allowing lenders to develop highly accurate credit scorecards. By shifting from traditional manual processes to an automated AI approach, banks and fintech companies can significantly increase approval rates while simultaneously reducing loss rates and non-performing loans (NPLs). The tool aims to transform how credit risk is managed by providing a more dynamic and data-rich assessment of borrower behavior. The core of the platform is the creditX solution, which handles the entire credit modeling lifecycle—from data ingestion and treatment to feature engineering and variable selection. It includes a no-code model builder that allows practitioners to create application, behavior, and collection scorecards without requiring extensive programming knowledge. A key differentiator is the speed of deployment; while traditional modeling can take months, finbots.ai enables users to build and validate custom scorecards in a single day. The system also features a high-performance decision engine for real-time inferencing, taking less than 0.03 seconds per decision, which is critical for digital-first lending environments. This platform is best suited for retail banks, SME lenders, and startup fintechs looking to modernize their risk assessment processes. It serves chief risk officers, data scientists, and credit managers who need to improve operational efficiency and agility. The platform is particularly useful for lenders aiming to drive financial inclusion by leveraging alternative data to assess underserved segments, such as micro-businesses or thin-file consumers, who might be unfairly rejected by legacy scoring models. What makes finbots.ai unique is its focus on transparency and regulatory alignment. It is among the first fintech solutions globally to complete the MAS Veritas and AI Verify frameworks, which are objective governance standards used to validate the fairness and performance of AI. This makes it a reliable choice for institutions operating in highly regulated markets. Additionally, the platform’s ability to integrate with existing legacy systems via a robust decision engine ensures that it can be adopted incrementally.
Pros & Cons
Builds and deploys custom scorecards in a single day compared to the industry standard of several months.
Decision engine provides real-time inferencing in less than 0.03 seconds for instant approvals.
Completed MAS Veritas and AI Verify governance frameworks to ensure regulatory compliance and fairness.
Demonstrated ability to increase approval rates by over 20 percent in actual client case studies.
Supports multi-source data ingestion including internal, external, and alternative data for better accuracy.
No transparent public pricing is available on the official website, necessitating a direct inquiry.
Access to the platform requires a manual demo booking process rather than instant account creation.
Focused strictly on financial risk and credit modeling rather than general-purpose enterprise risk management.
Use Cases
Risk managers at retail banks can automate the generation of behavioral scorecards to proactively manage credit limits.
SME lenders can incorporate alternative data to assess the creditworthiness of small businesses without formal financial history.
Fintech startups can use the no-code builder to launch and iterate on lending products without a large internal data science team.
Credit card issuers can improve approval accuracy and reduce loss rates by up to 15 percent using high-performance ML algorithms.
Platform
Task
Features
• automated feature engineering
• no-code model builder
• collection scorecards
• behavioral scorecards
• application scorecards
• model explainability tools
• alternative data ingestion
• real-time decision engine
FAQs
How long does it take to deploy a new credit scorecard?
Unlike traditional methods that take months, finbots.ai allows institutions to build, validate, and deploy custom scorecards in as little as one day. This rapid development is enabled by an automated AI modeling process.
Does the platform support the use of alternative data?
Yes, the platform can ingest and analyze internal, external, and alternative data. This allows lenders to create more holistic risk profiles and serve underserved segments like thin-file consumers.
Is the AI explainable for regulatory and compliance audits?
The system includes built-in explainability and has been validated by frameworks like MAS Veritas and AI Verify. This ensures that all credit decisions are transparent, fair, and compliant with financial regulations.
What is the speed of the platform's decision engine?
The decision engine is designed for high-performance inferencing, capable of returning a credit decision in less than 0.03 seconds. This speed is specifically optimized for real-time digital lending applications.
Can the platform be used for collection and behavioral scoring?
Beyond initial application scorecards, the platform supports the creation of behavioral and collection scorecards. This allows lenders to manage the entire customer credit lifecycle from onboarding to debt recovery.
Pricing Plans
Enterprise
Unknown Price• AI Scorecard Builder
• Real-time Decision Engine
• MAS Veritas Compliance
• Data Ingestion (Internal/External/Alt)
• Model Explainability
• No-code Interface
• Managed Data Support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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