Financial services

AI for regulated finance, on infrastructure you control.

Policy assistants, KYC and document processing, reconciliation and voice service lines, deployed where your regulators expect your data to be.

Europe
DORA (since 17 Jan 2025), GDPR, EU AI Act
United States
GLBA Safeguards Rule, SEC requirements
India
RBI payment data storage, SEBI CSCRF, DPDP Act

In short

Private AI for financial services runs assistants and automations inside the institution’s own environment, so customer financial information and payment data stay under its control. That supports DORA third-party risk duties in the EU, GLBA safeguards in the US and RBI payment-data localisation in India.

Use cases

Where it helps first.

Policy and product knowledge

Staff get cited answers from policies and product rules.

KYC and documents

Extraction, validation and routing of onboarding documents.

Reconciliation

Breaks found across systems and routed for resolution.

Service lines

Voice agents for routine requests with full logs.

Why DeepVox

Built for financial services.

  • Fits DORA ICT third-party expectations: you control the stack.
  • No per-seat licences across large teams.
  • Credit scoring of individuals scoped as high-risk.
  • Audit trail for supervisors.

Rules we design for

By market.

MarketRules
EuropeDORA (since 17 Jan 2025), GDPR, EU AI Act
United StatesGLBA Safeguards Rule, SEC requirements
IndiaRBI payment data storage, SEBI CSCRF, DPDP Act

FAQ

Questions, answered.

How does this help with DORA?

Running the system on your infrastructure, with code and runbooks you own, reduces dependency on a critical ICT third party and makes exit planning concrete.

Can it score creditworthiness?

It can be built, but credit scoring of individuals is high-risk under the EU AI Act and needs separate scoping and documentation.