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Karmyug

Financial data handled inside controls your risk and compliance teams will sign off.

KYC, document automation, fraud labelling and support analytics.

Every step in a financial data pipeline has to survive an audit. Who saw the document, where it was stored, when it was deleted and under what consent.

We run this work in private, NDA-only pools with full access logging, in-region storage and a redaction verification pass on every batch.

Where AI is being applied in banking & finance

The applications teams actually come to us for, rather than the full theoretical list.

  • KYC and identity

    ID document annotation and face-match pairs under biometric consent.

  • Statement and cheque OCR

    Field extraction across layouts, scans and handwriting.

  • Fraud pattern labelling

    Transaction sequences labelled for anomaly model training.

  • Support call analytics

    Transcription, intent and sentiment on collections and service calls.

  • Advisory chat data

    Agent and customer chat for assistant training in regional languages.

  • Document classification

    Routing documents by type before extraction runs.

Data security and compliance

The controls your risk team will ask about, before they ask.

  • GDPR

    EU data subject rights and DPAs

  • CCPA

    California consumer privacy

  • DPDP Act 2023

    India data protection, in-region storage

Banking & finance questions

Can data stay in our region?

Yes. Default storage is AWS Mumbai; other regions are available and written into the contract.

Do you support a private workforce?

Yes. NDA-only pools, secure view mode with no downloads, and IP allowlisting on request.

Power your banking & finance AI with data you can audit.

Start with a pilot batch against your real guidelines. You accept it before anything scales.