Synthetic Data
for Regulated Innovation
High-fidelity synthetic datasets that look and behave like real financial data - without exposing PII or sensitive commercial information. Built for banks, insurers, and regulators to accelerate testing and vendor validation.
Innovation Stalls When Data Isn't Available
Financial institutions can’t move quickly when access to safe, realistic datasets is blocked.
Months
of Delays
Waiting for approvals, anonymisation, and regulatory clearance can take 3 – 6 months – slowing every proof-of-concept and testing cycle.
Compliance
Risks
Using real data, even in masked or anonymised form, creates exposure to privacy violations and regulatory penalties.
Failed
Proof-of-Concepts
When vendors are tested with incomplete or synthetic-lite data, results don’t reflect production reality – leading to high failure rates once deployed.
Lost
Competitive Edge
While you wait, competitors are already testing, scaling, and launching with speed. The cost of slow data access compounds over time.
Synthetic Data Build for Financial Systems
Built for banks and insurers, our synthetic datasets mirror the structure and behaviour of production data - without exposing sensitive information.
01
One Gateway, All Your Data Needs
Instead of dealing with multiple providers for each dataset, NayaOne gives you a single platform where all synthetic data is generated, standardised, and governed.
02
Datasets in Days, Not Months
No more waiting for clearance or anonymisation. Get reusable, production-like datasets on demand, and move from idea to evidence at speed.
03
Schema-Driven Generation
Synthetic datasets are built from your existing schemas and data dictionaries, ensuring they plug seamlessly into your systems and workflows – no rework, no compromises
04
Sandbox
Ready
Provide every vendor with identical, production-like datasets so comparisons are fair, results are repeatable, and every decision is backed by auditable evidence.
One Platform.
Multiple Synthetic Data Use Cases.
RISK AND COMPLIANCE
Identity and Onboarding
Generate synthetic identity documents and onboarding records to safely test KYC/KYB and customer verification processes - without using real customer information.
- Identity Document Sets
- Customer Onboarding Forms
- KYB Company Records
FRAUD AND FINANCIAL CRIME
Fraud and Risk
Generate datasets that include edge cases, anomalies, and suspicious patterns so risk teams can test fraud detection models and resilience - without exposing live customer data.
- Fraudulent transaction records
- Anomalous Account Activity
- Suspicious Case Logs
RISK AND COMPLIANCE
Regulatory Compliance
Generate datasets that replicate reporting obligations and audit scenarios, helping compliance teams validate systems against regulatory standards without exposing sensitive data.
- Transaction Monitoring Records
- Audit Trail Datasets
- Regulatory Reporting Files
CREDIT AND LENDING
Lending and Credit
Create loan application, repayment, and credit history data that mirrors production environments, enabling fair testing of credit decisioning tools and lending platforms.
- Loan Application Data
- Repayment History Tables
- Credit Score Reports
INSURANCE
Claims and Insurance
Produce synthetic claims, policy, and payout datasets so insurers can test AI, automation, and fraud detection in claims processes — all without customer exposure.
- Insurance Claims Records
- Policyholder Data Tables
- Payout History Files
AI AND AUTOMATION
AI and Model Testing
Provide high-volume, production-like data for testing AI/ML models, ensuring governance and compliance without relying on customer datasets.
- Tabular Datasets
- Synthetic Text Corpus
- Balanced Demographic Data
Types of Data We Generate
High-fidelity datasets that stay consistent across systems, built to replicate the complexity of your production environment.
Structured
Claims, policies, and transaction records that mirror production systems.
Semi-Structured
Create event logs, payment flows, and activity streams to test integrations and workflows.
Unstructured
Contracts and ID documents in realistic formats.
Clean and Messy
Perfect datasets or noisy ones to test resilience.
How It Works?
From the moment you share your schema, NayaOne takes care of the rest.
Map Your Schema
We take your table structures and data dictionary to ensure every synthetic dataset aligns seamlessly with your systems and workflows.
Generate Synthetic Data
We create datasets that mirror the structure and dynamics of your production environment. Both “clean” and “messy” versions are produced, alongside unstructured documents such as IDs and statements.
Deliver Sandbox-Ready Results
Your synthetic datasets are packaged and integrated into NayaOne’s secure sandbox. This ensures every vendor receives identical, production-like inputs.
What Our Customers Say
Huge thanks to our partner NayaOne, and I look forward to seeing the outcomes of the benchmarking tech spring later this week in London.
This dataset includes 2000 Equity products, comes with Settlement Logic, Business Calendar Alignment, Option Strikes and is also compliant with CFI and EMIR Codes, ISDA Taxonomies, LEI Identifiers and UTI Generation.
This data is designed to help you build, test, and benchmark next-gen trade reporting agents and beyond.
