Banking, financial-services and insurance AI — in every language your customers bank in.
Multilingual voice & document data for KYC, collections, advisory and fraud — de-identified, DPDP-aligned and built for regulated finance AI.
Voice bots, collections agents and advisory copilots fail on real Indian BFSI conversations: code-mixed speech, regional accents, sensitive PII. We build the de-identified, consented, expert-annotated voice and document data that regulated financial AI needs to ship.
What teams in BFSI are up against
BFSI combines high regulatory scrutiny with messy, multilingual, sensitive data:
- Customers bank in many languages. KYC, collections and support happen in code-mixed speech and regional accents that English models can't follow.
- PII is dense and regulated. Account numbers, IDs and financial details must be de-identified before any training.
- Errors are costly and audited. Mis-classified intent or missed fraud signals carry financial and compliance consequences.
- Documents are varied. Forms, statements and KYC images span formats, languages and quality levels.
Compliance & residency
Financial data work is held to RBI/IRDAI-grade scrutiny and privacy law:
- DPDP Act, 2023 — consent and de-identification for personal and financial data.
- Sectoral expectations — handling aligned with RBI/IRDAI data-governance norms and auditability.
- India-residency option — in-country processing and storage for banks, NBFCs and insurers.
- Auditable provenance — every record traceable for compliance review.
How we solve it
Regulated-grade financial data, de-identified and documented
Multilingual voice and document data for KYC, collections, advisory and fraud — built to pass a compliance review.
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Multilingual voice collection
Consented KYC, collections and support speech across languages and accents, de-identified and provenance-tagged.
Multilingual data collection -
Document & intent annotation
Entity, intent and sentiment labeling on financial text and KYC documents with calibrated guidelines and two-pass QA.
Data annotation -
PII detection & fraud safety
DPDP-aligned PII detection and redaction, plus safety and abuse review for financial copilots.
Content moderation & safety -
Advisory & compliance evaluation
Evaluation sets that test intent accuracy, language coverage and compliance behaviour before deployment.
Cultural & cross-lingual evaluation
Proof
Why teams trust us with this vertical
- aligned PII handling for financial data
- DPDP
- IAA on intent & entity labels
- ≥ 0.85
- speech and document modalities covered
- Voice+Doc
aligned PII handling for financial data
IAA on intent & entity labels
speech and document modalities covered
Go deeper
Datasets and services for this vertical
Jump straight into the catalog filtered for this domain, or scope a custom program.
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Browse the dataset catalog
See rights-cleared, documented datasets filtered to this vertical — or commission a custom set.
View datasets -
Explore our services
End-to-end collection, annotation, RLHF/DPO, evaluation and safety — applied to your use case.
All services -
Keep it sovereign
India-resident collection, annotation and storage for regulated and government-grade programs.
Sovereign Data
FAQ
BFSI — common questions
- How do you handle financial PII?
DPDP-aligned consent and de-identification with auditable provenance and an India-residency option for banks, NBFCs and insurers.
- Can you cover code-mixed, accented banking speech?
Yes — consented voice collection across languages and accents. See Multilingual Data Collection and BFSI datasets.
- Is the data auditable for compliance?
Yes. Every record is traceable with documented provenance and QA reporting for compliance review.
Build an AI data program for BFSI.
Tell us your languages, modalities and use case — we'll scope a rights-cleared, documented data program and a delivery schedule.
Where our data services apply
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Multilingual Data Collection
Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.
Explore the service -
Data Annotation
Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.
Explore the service -
Content Moderation & Safety
PII filtering, harmful-content taxonomies and culturally-aware safety pipelines — calibrated for Indian context.
Explore the service -
Cultural & Cross-Lingual Evaluation
Evaluation for honorifics, code-mix, idioms, caste-safety and pragmatic correctness — beyond translated MMLU.
Explore the service