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INDUSTRIES · BANKING, FINANCIAL SERVICES AND INSURANCE
Put AI to work on regulated data, with proof a regulator can check.
Models that run inside your perimeter, personal data masked before any model sees it, and a signed receipt behind every answer.
IN SHORT
For banks, insurers and financial-services firms, AgentAnywhere keeps customer data inside the institution. Aavaran masks personal and financial data before any model sees it, Kuber answers regulatory questions and shows the passage it relied on, Taksha modernises legacy code on your own network, and every answer is closed with a signed Trust Receipt that an external party can verify.
01 · Customer data cannot leave
Residency rules and your own policy rule out sending it to a foreign API.
02 · The regulator will ask
You need a record of what a model did with which data, in a form that can be checked without trusting the vendor.
03 · Decades of legacy code
Core systems need modernising without a silent guess changing what the business logic does.
INSIDE YOUR PERIMETER
What happens to one customer request.
Follow one request from the moment it arrives to the receipt an auditor can check. Nothing raw crosses the boundary.
One request · start to receipt
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Your perimeter · your cloud, your region, or air-gapped
Step 1 of 5
A request arrives
A question comes in. It carries a name, an account, a card number: the things that must not travel.
USE CASES · BY FAMILY
What runs inside a bank or an insurer.
Each card opens the page for that family or machine. Tell us your setting and we will show you the closest demonstration.
STATED PLAINLY
What this is not.
- We describe Kuber and Vaani without accuracy figures.
- A model's answer supports a decision. Your own officers make it.
- The full FREE-AI mapping is shared under NDA. Your compliance function owns the filing.
OTHER INDUSTRIES
Other industries
FAQ
Frequently asked questions.
- Can a bank in India use AI without customer data leaving the country?
- Yes. AgentAnywhere deploys inside your perimeter, region-pinned or air-gapped, on your keys. Aavaran masks personal and financial data before any model sees it, so raw values do not cross your boundary.
- How does a bank prove to a regulator what an AI model did?
- Every consequential call leaves a signed, chained Trust Receipt: what was asked, which policy applied, what was masked and what was returned. The trail is queryable and exportable, and designed for an external party to verify without trusting the vendor.
- Is AgentAnywhere aligned with the RBI's FREE-AI framework?
- AgentAnywhere maps to all twenty-six recommendations of the RBI's Framework for Responsible and Ethical Enablement of AI. Each is paired with the platform mechanism that implements it and the evidence in your deployment. The full mapping is available under NDA.
- How do I find out what is ready for my use case?
- Talk to us. Tell us the system, the data it may touch and the constraint, and we will show you the closest demonstration and tell you plainly what is ready today and what we would build with you.
Tell us where it has to run.
Tell us the system, the data it may touch and the hardware it has. We will show you the closest demonstration, and tell you plainly what is ready today and what we would build with you.
