Sharda University
ML fake-review detection
A fake-review detection system driven by network-traffic analysis that exceeded the research team's academic benchmarks.
Fraud detection, compliance automation, AI agents and secure transaction platforms for banks, lenders, insurers and fintech startups.
Book a Free Strategy CallFinancial services run on trust, speed and compliance. Customers expect instant onboarding and answers; regulators expect audit trails and data protection; and fraud teams need to stay ahead of increasingly sophisticated attacks.
ArrLink builds fintech software and AI systems that meet all three. We design secure platforms, automate KYC and document-heavy processes, and deploy AI agents and machine learning models with the logging, explainability and controls financial institutions require.
We build for the realities of regulated finance: segregated environments, maker-checker workflows, explainable model outputs and complete audit trails. That lets your teams adopt AI and automation with confidence — reducing manual review, speeding up onboarding and improving fraud detection while staying ready for audits.
Fraud patterns evolve faster than static rules can keep up.
KYC, AML checks and reporting consume large operations teams.
Users expect instant onboarding and 24/7 support across channels.
Every action must be secure, logged and explainable to regulators.
ML models that flag suspicious transactions and behavior in real time.
AI extraction and verification of identity and financial documents.
AI agents for reminders, queries and first-line support with full audit trails.
Secure loan-origination, payment and reconciliation systems.
Real-time data pipelines and dashboards for risk and regulatory reporting.
Self-hosted models so sensitive financial data never leaves your infrastructure.
Sharda University
A fake-review detection system driven by network-traffic analysis that exceeded the research team's academic benchmarks.
We use encryption, strict access controls, audit logging, secure SDLC practices and — where required — private AI models deployed inside your own infrastructure so data never reaches third-party APIs.
Yes. AI can extract and verify data from identity and financial documents, flag inconsistencies and route edge cases to human reviewers, significantly reducing manual effort.
Yes. We work with financial institutions and fintech startups in India and internationally, and design systems around the relevant regulatory requirements.
Yes. We build loan origination, underwriting workflows, repayment tracking and collections systems, integrated with credit bureaus, payment gateways and your core systems.
We design models and agents to log the data and reasoning behind each decision, and keep humans in control of high-impact outcomes, so results can be explained to customers and regulators.
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