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Features

One platform, every data engineering capability

From visual pipeline building to automated compliance, quality gates to cost optimization. Everything your data team needs in one place.

Visual Pipeline Builder

Build data pipelines from scratch using a component-level visual canvas. Drag sources, transforms, quality gates, and destinations onto an infinite React Flow canvas, then toggle to generated SQL or Python code at any time.

  • Components pane with a categorized, searchable library of all available pipeline building blocks
  • Infinite canvas with zoom, pan, grid-snap alignment, and minimap navigation
  • Dual visual and code editor — visual edits produce SQL/Python, code edits update the canvas
  • Conditional execution per stage based on prior status, row counts, or custom expressions
  • Configurable failure strategies: retry with backoff, skip and continue, quarantine and alert, or rollback
  • Pipeline compiler translates the React Flow DAG into a durable Temporal workflow definition
Source
Transform
Output
P
Protected Raw
R
Refined
I
Intelligence
S
Semantic
M
Market-Ready

1M rows985K clean · 15K quarantined

PRISM Templates

Start with pre-built PRISM layer templates designed for financial services. Choose AI auto-suggest or a guided wizard to configure each layer, then customize freely with the visual builder.

  • Pre-built PRISM layers (P, R, I, S, M) with quality gates between each stage
  • AI auto-suggest mode that analyzes source schema and sample data to recommend transforms
  • Guided wizard mode for step-by-step configuration of ingestion, cleaning, and aggregation
  • Three financial services templates: Financial Transactions, Customer Master, and Generic
  • Fully customizable starting points — use a template as a foundation, then modify with drag-and-drop

Compliance Built-In

Compliance is architecture, not an afterthought. Every pipeline automatically classifies data, detects PII, applies masking policies, and generates a full audit trail from day one.

  • Automatic PII detection via regex patterns with configurable sensitivity levels
  • Column-level masking policies applied automatically based on data classification tags
  • Tag-based auto-masking — PII detected via classification triggers masking without manual setup
  • Complete audit logging of every action: actor, team, action, resource, timestamp, and result
  • Data classification from day one across all pipeline stages and data types
  • Encryption with AES-256 at rest and TLS 1.3 in transit for all data movement
Name
Email
SSN
Amount
John Smith
j.smith@email.com
123-45-6789
$5,400
Sarah Lee
s.lee@corp.io
987-65-4321
$12,800
Mike Chen
m.chen@fin.co
456-78-9012
$8,200
Lisa Park
l.park@data.org
321-54-8765
$3,600
Schema Validation
Null Check
Data Freshness

Quality Gates

Enforce data quality between every PRISM layer with 300+ built-in expectations powered by Great Expectations. Bad data gets quarantined, not promoted — so downstream consumers only see clean, validated records.

  • 300+ built-in expectations via Great Expectations covering schema, nulls, types, and distributions
  • Schema validation, null checks, uniqueness constraints, and freshness monitoring at every gate
  • Business rule validation and statistical distribution checks for domain-specific requirements
  • Automatic quarantine of records that fail quality checks with configurable alerting
  • Quality scorecards per pipeline, per team, and organization-wide for trend tracking

BI Integration

Cupel pushes dashboards to your BI tools instead of replacing them. Auto-generate Power BI dashboard definitions from Market-Ready layer data models and pre-built KPI templates — no manual dashboard building required.

  • Power BI REST API connector for automatic dashboard generation from Market-Ready layer data
  • Auto-generate dashboard definitions and templates based on the data model and KPI configurations
  • Pre-built financial services KPI templates: AUM tracking, transaction volume, fraud rates, and more
  • Self-serve for business users: browse the data product catalog, select KPIs, get a dashboard
  • Semantic layer maintains consistent metric definitions across all BI tool consumers
Market-Ready
AUM
Transactions
Quality Score
Jan
Feb
Mar

Cost Monitoring

Full transparency into cloud spend with per-pipeline, per-team, and organization-wide cost tracking. Set budgets, receive threshold alerts, and get AI-powered suggestions to reduce your data infrastructure costs.

  • Per-pipeline execution cost tracking: compute time, data processed, storage used, and API calls
  • Per-team spend dashboards with breakdown by pipeline and resource type
  • Budget alerts at 50%, 75%, 90%, and 100% thresholds with configurable notification channels
  • Auto-throttle option to pause non-critical pipelines when a team budget is exceeded
  • AI-powered optimization suggestions with estimated savings and confidence scores
Why Cupel

Stop stitching together five tools

See how Cupel replaces a fragmented toolchain with a single, unified platform.

Without CupelWith Cupel
Pipeline Building
Custom Airflow DAGs + manual YAML
Visual drag-and-drop + generated code
Data Quality
Manual SQL checks or separate GX setup
300+ built-in quality gates between layers
Compliance
Bolted-on scanning tools
Auto PII detection, masking, and audit from day one
BI Dashboards
Manual dashboard creation in each BI tool
Auto-generated dashboards from Market-Ready layer data
Cost Tracking
Fragmented cloud cost consoles
Per-pipeline cost tracking with budget alerts
Governance
Flat RBAC or no governance
Hierarchical org → team → pipeline policy inheritance

Start building pipelines in minutes

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