Crayon Data Crayon Data Tangram AI
Synthetic Test Data | Zero PII | Fully agentic |
BANKING · DATA MANAGEMENT SUITE
TEST DATA MANAGEMENT

Generates, governs and serves synthetic test data on demand -
zero PII, referential integrity intact, banking-ready out of the box.

10 steps → 6 orchestrated zero PII 5-state lifecycle
Why Test Data Management exists

Every sprint needs data. Production can't give it.

The problem

Test teams run on production copies

Restricted, PII-laden data and PCI DSS rules block most test teams before they even start.

  • PIIevery extract carries real customer data
  • Breaksreferential integrity, once masked
  • Weeksto provision a fresh dataset
Done manually today

Spreadsheets and ad-hoc scripts

Columns mapped by hand, files merged by hand, every run rebuilt from scratch.

  • 10 stepsmanual, per dataset
  • No lifecyclestale data, rebuilt by hand
  • No auditwho generated what, untracked
With Test Data Management

Schema in, governed data out

Point it at a template or a schema. Testing starts immediately, with zero PII risk.

  • 6 stepsorchestrated end to end
  • 100%synthetic, zero PII
  • 5 statestracked automatically
What it does · three moves

Generate it. Govern it. Serve it.

01GenerateSynthetic, structurally sound
  • 100% synthetic — zero PII, zero production dependency
  • Customer → Account → Transaction, referential integrity intact
  • Start from a template or an uploaded schema
02GovernLifecycle & access, tracked
  • Five states: Generated → Allocated → Reserved → Released → Consumed
  • Three-tier RBAC with row-level security
  • Every allocation, release and access event logged
03ServeFed straight into core systems
  • RPA-driven — Blue Prism / UiPath
  • Published into iCore, CRM, CASA
  • On-demand or scheduled, with per-step status
Create Test Scenarios — templates and schema upload, in the productProduct Overview — Data Solutions, in the productData Workspace — the orchestration diagram, in the product
10 steps → 6, then tracked to consumption

Six steps to generate. Five states to track.

template or schema  ·  zero manual mapping

S1

Start

Template or schema
Choose a pre-built banking template, or point it at an uploaded schema.

S2

Generate

One click
Domains, attributes and if-then-else rules populate every table.

S3

Refine

Adjust the rules
Tune generators and permutations for complete coverage.

S4

Manage

Track every run
Runs, status and validation, live in one workspace.

S5

Export

Allocate & release
Reserve exactly what's needed; the rest re-enters the pool.

S6

Orchestrate

RPA to core
Blue Prism / UiPath publish into iCore, CRM, CASA.

Then every generated record is tracked end to end

1

Generated

Created from the schema, before anything is claimed.

2

Allocated

Assigned to a project or a run.

3

Reserved

Committed to open test cases.

4

Released

Freed back — instantly reusable.

5

Consumed

Used in a completed test cycle.

Reserve only what you need — e.g. 700 of 1,000 records. Unused data re-enters a central pool that fills urgent requests instantly, dashboards syncing in real time.

The capability set

Eight things it does, on every run.

Not a menu of optional modules — every run is schema-driven, governed and audit-logged.

01Schema-driven generationPoint it at any schema, it generates
02If-then-else generatorsBusiness logic, not random fill
03Referential integrityCustomer → Account → Transaction
04Five-state lifecycleGenerated to Consumed, tracked
05RPA orchestrationBlue Prism / UiPath, into core systems
06Three-tier RBACOrg → Product → Projects
07Row-level securityEnforced at the database
08Audit & lineageEvery event logged, traced to source

Proven across five banking modules

AccountsSA · SA-JOINT · NRE · NRO
DepositsFD · RD · PPF · SSY
LoansCAR · HOME · GOLD
CardsCREDIT · DEBIT · FOREX
PaymentsGATEWAY · SETTLEMENT
The generation engine

Component-based, not hard-coded.

point it at any schema  ·  it generates

  1. 1
    Domains & AttributesTables and columns — the structure the engine reads.
  2. 2
    GeneratorsIf-then-else business logic, with permutation control.
  3. 3
    Receivers & ScenariosCSV / XML output, packaged into on-demand runs.
Create Task Pipeline — the available task components, in the product123
Orchestration · RPA

From generated record to system call.

Blue Prism / UiPath  ·  iCore · CRM · CASA

  1. 1
    RPA feeds the recordBlue Prism / UiPath picks up each generated row.
  2. 2
    Mapped to the backendRouted into iCore, CRM or CASA by module.
  3. 3
    Published, with retryOn-demand or scheduled, per-step status in real time.
Data Workspace — the real orchestration diagram, in the product123
The compliance backbone

Regulator-ready, by construction.

zero real customer data  ·  every event logged

By design

Zero-PII

No names, Aadhaar, PAN, phone or account numbers — ever.

Container / on-prem

Data sovereignty

Runs entirely inside the client's own environment when required.

Enforced at the database

RBAC + Row-Level Security

Visibility scoped by organisation, product and project.

Audit & lineage. Every allocation, release and access event logged; each record traced from generation through consumption.

Deployment · two axes, four combinations

However you run it, sovereignty doesn't change.

Recommended

Full Stack

The complete platform — generation, lifecycle, orchestration, analytics — one contract, one go-live.

Keep your stack

API-only

Connect as the synthetic-data layer over REST or webhook; your QA tooling keeps routing. No rip-and-replace.

Default

Single-Tenant Hosted

One isolated instance per client, hosted and upgraded by Crayon. Client data never commingled.

Your VPC / on-prem

Container-only

Runs entirely inside the client's environment for data-residency mandates.

On the roadmap: Data Masking & Anonymization, Data Enrichment & Enhancement, and Serve Data as API — slotting into the same architecture, with no change to the data-sovereignty guarantees.

Where it runs

Banking today. Any regulated schema, tomorrow.

Proven lead

Banking / BFSI

Restricted, PII-laden data and PCI DSS rules make synthetic generation essential across Accounts, Deposits, Loans, Cards and Payments.

Closest adjacency

Insurance

Synthetic policyholder, policy, claims and premium data with referential integrity; simulate fraud patterns under HIPAA/GDPR.

Same engine

Technology & Software

Tenant, user, usage and billing data on demand; scale volumes for load testing; isolated demo and training datasets.

By design

Healthcare · Retail · Telecom · Public

Synthetic patient, customer, subscriber and citizen data — testing regulated domains without exposing real records.

Generation, lifecycle, orchestration, RBAC and audit apply unchanged — only the schemas, generators and scenarios are reconfigured.

In summary

One schema in. Six steps to test-ready.

In just 0 orchestrated steps — down from 10, manual — it tracks
0 governed states and ships 0% synthetic data,
zero PII, referential integrity intact.

It covers 0 banking modules today, ready to run on your schema.

Try it first on your own schema in the hosted sandbox.

demo.crayondata.ai/test-data

LEANM AI · Crayon Data

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