The responsible 'AI' cloud for Banks, Insurers and Financial Services.
Facilitating AI-enabled applications to be rapidly deployed and scaled while navigating to institution-wide adoption of responsible AI
At Arya.ai, we productized the vertical specific layers required for BFSIs to deploy safe, responsible and auditable ‘AI’ across use cases.
ML Observability platform for mission-critical AI solutions
For enterprises looking for a comprehensive ML Observability tool for mission critical AI use cases to explain, monitor, audit and manage AI usage risks.
AryaXAI provides comprehensive and diverse local and global explanations in real time that is understandable by all stakeholders.
AryaXAI offers a simple, easy-to-use GUI interface for any AI solution to administer policy controls on data and model outcomes in real-time.
AryaXAI proactively monitors for data drifts, model drifts, model performance and fairness monitoring for your AI solution to avoid slippages and deliver consistency.
Capture ML artifacts during training and production and create cadences.
Fix model gaps using advance techniques like Synthetic AI and AutoML.
Autonomous Underwriting Module(AUM)
Complex DL system to underwriting incoming application in real time.
AUM uses customized Deep Learning architectures to learn the nuances of Underwriting.
Use AUM to automate underwriting decisions on top of rules engine cases.
Confidently swap rules engines with AI that is explainable and auditable.
AUM uses AryaXAI to provide an acceptable explainability to insurers, resinsurers and regulators.
Automated Claims Processing (ACP)
Manges claims like a pro. Automate, control leakage/abuse and deliver faster TATs
Life & health insurance claims involves adjudicating medical, policy and bills data which needs a complex ‘AI’ to analyze these patterns.
ACP uses DL to learn such patterns from training data and help to automate or augment the claims.
Customizable on customer’s data.
Uses AryaXAI to deliver superior explainability and adhere to the SLAs.
Claims Fraud Monitoring
Identify, prevent and control fraud and abuse. Optimize loss ratios and improve profitability.
Fraud & abuse in Life and health insurance is involves patterns that are not definable using rules engines.
CFM allows users to deploy Deep Learning models in both supervised and unsupervised manner.
CFM uses AryaXAI to provide detailed explainability and supporting evidences for investigation team to prove frauds.
CFM is deployed in AryaXAI allowing users to add additional policies and other observations to bring in their organization specific knowledge.
What customers say about Arya.ai
Teams and organizations of all sizes are getting more out of their AI investments with Arya
With Arya’s Face Verification and Passive Face Liveness Detection APIs, we’ve improved the security on our FinTech platform for user verification during transactions. Our vulnerability to fraud due to identification errors has already reduced by 98% within just six weeks of integrating these APIs. This new process has helped us provide an amazing user experience. Incorporating these APIs has been extremely cost effective and helped us solidify our standing among users. Kudos to Arya APIs team for ground breaking technology that is making a real good impact on our business.
Understanding medical diagnosis is a significantly complex activity for which we have deployed Arya.ai's AI technology leading to reduced cashless claim request approval time from the earlier average of 60 minutes to under a minute now.
Using Arya APIs we have automated the process of data extraction from KYC as well as transaction document along with traslantion of certain ID proof (s) originally provided in foreign language, which has greatly eased the operational workload on our team and also saved us on processing time which in turn enhance our overall customer experience.
News & Mentions
Arya has been privileged to find mentions and coverage in leading publications, industry bodies and ecosystem opinion makers.