Healthcare tech
Patient Data Migration
Secure enterprise migration of legacy patient health records to modern cloud infrastructure under strict compliance.
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AI for banking, lending and insurance.
Detect fraud as it happens, decide on credit with explainable models and settle claims faster — with the audit trails, data residency and controls your regulators expect.
Trusted by enterprises and fast-growing startups
Use cases
Where AI pays off in financial services
Hover a use case to see it in context — every one ships with explainability and audit logs.
- BankingReal-time fraud detectionScore every card, UPI and wire transaction as it happens, and hold only the risky ones.
- LendingCredit underwritingExplainable risk models that use bureau, bank-statement and alternative data.
- BankingKYC and onboardingRead ID documents, match faces and run checks so customers open accounts in minutes.
- LendingCollections intelligencePredict who will pay, choose the right channel and time, and draft compliant reminders.
- InsuranceClaims automationTriage first notice of loss, read documents and photos, and flag suspicious claims.
- WealthAdvisory copilotsPortfolio briefs, suitability checks and next-best actions for relationship managers.
Solutions
Solutions built for regulated finance
Fraud and AML
Machine learning that spots fraud rings, mule accounts and suspicious patterns across every channel.
- Real-time transaction scoring
- Graph analysis of linked accounts
- AML alert prioritisation
- Case notes drafted for investigators
Credit decisioning
Faster, fairer lending decisions with models your risk team can explain.
- Bank-statement and bureau analysis
- Explainable scorecards
- Policy rules alongside models
- Bias and drift monitoring
Digital onboarding and KYC
Onboard customers end to end with document AI and video KYC support.
- ID, PAN and Aadhaar extraction
- Face match and liveness checks
- CKYC and sanctions screening
- Assisted video KYC
Claims and underwriting AI
Insurance workflows that read documents and photos and route every case by risk.
- First notice of loss triage
- Damage assessment from photos
- Medical bill and document reading
- Fraud signals for investigators
Customer service AI
Assistants for customers and agents across app, web, WhatsApp and IVR.
- Account and policy queries
- Dispute and complaint intake
- Agent assist with policy answers
- Indian-language support
Risk and compliance analytics
Monitoring and reporting that keeps pace with your regulators.
- Regulatory report automation
- Early-warning portfolio signals
- Model-risk documentation
- Audit-ready decision logs
Before and after
One loan application, two journeys
Flip the switch to see how the same application moves with and without AI.
- Document collection
The customer uploads PDFs and staff check each one by hand.
Statements and IDs are read and verified the moment they arrive.
- Income assessment
Analysts total salary credits in spreadsheets.
Cash flow is analysed automatically, with anomalies highlighted.
- Risk decision
Rules alone decide, and edge cases wait in a queue for days.
An explainable model works with policy rules; only edge cases reach a credit officer.
- Fraud checks
Run in batches after the loan is approved.
Run in real time, before any money moves.
- Customer updates
Customers call the branch to ask for a status.
Proactive updates on the app and WhatsApp at every step.
Our success stories
Problems solved, in production
Real projects across AI, data, healthcare and commerce — from the first workshop to a live system.
Medical AI research
Breast Cancer Detection AI
Clinical-grade diagnostic and imaging assistance for cancer research — CNN classification combined with U-Net segmentation.
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E-commerce innovation
E-Commerce Website
Multi-vendor digital storefront and catalogue system for high-value designer commerce.
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Industrial IoT
IIoT Data Pipeline & Dashboard
Predictive anomaly detection and telemetry aggregation pipelines optimised for industrial manufacturing environments.
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Climate tech
Climate Data Classification
Large-scale climate intelligence and environmental classification platform for advanced data processing.
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Insurtech solutions
Health Data Visualization
Secure analytics suite and health data visualisation platform for high-volume enterprise tracking.
Read case studyOur roadmap
From workshop to production
Each stage is reviewed with your risk and compliance teams before the next begins.
Journey and data discovery
We map priority journeys, data sources and regulatory constraints with your business, risk and IT teams.
Data access and controls
Masking, residency and access rules are agreed before any model is trained.
Model build and validation
Models are built, back-tested and documented for model-risk review.
Controlled pilot
A limited rollout runs alongside today’s process so results can be compared.
Scale and monitor
Rollout across products and channels, with drift, bias and performance monitoring.
Compliance
Built for India’s regulators
We design with the frameworks your risk, compliance and audit teams already work to.
- RBIBuilt with RBI guidance on IT, outsourcing and digital lending in mind.
- SEBICyber-resilience and data expectations for market intermediaries.
- IRDAIInformation and cyber-security guidance for insurers.
- DPDP ActConsent and data-principal rights under India’s data protection law.
- PCI DSSProtection of cardholder data wherever payments are touched.
- ISO 27001Information security management across delivery.
Ready to put AI into production finance?
Start with a workshop on your priority journeys and leave with a pilot plan your risk team supports.
Can AI decisions be explained to regulators and customers?
Yes. We use explainable models with reason codes for every decision, keep full decision logs, and document models for your model-risk and audit teams.
Where will our customer data be stored?
In India — inside your own cloud or data centre if required. Sensitive fields are masked before any model sees them, and models can run entirely in your environment.
Will this replace our core banking or policy system?
No. We integrate with your existing core, LOS, LMS, CRM and policy administration systems through APIs and events.
How do you handle model bias?
Fairness is tested before launch and monitored afterwards across customer segments, against thresholds agreed with your risk team.
How quickly can we see results?
A focused pilot on one journey — such as fraud alerts or document checks — typically runs in weeks, with results compared against your current process.
Explore more
AI for other industries and capabilities
See how we apply AI in other sectors, or browse our core AI capabilities.
Start a conversation
Let's talk about AI for BFSI.
Emailsales@pyzenlabs.com
Phone+91 99718 38777
NoidaSector 62, Uttar Pradesh
GurugramUdyog Vihar, Haryana