| What it does | Automated data verification that explains why numbers don't match across business systems
| AI-powered system for detecting accounting fraud and manipulation in corporate financial statements
|
|---|
| Stage | MVP
| Not given
|
|---|
| Founded | Not given
| 2022
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Free trial
| Paid
|
|---|
| Pricing | Free tier available during beta with all features. Planned tiers: Pro (15 reconciliations, 15 schedules, 5 seats), Business (unlimited reconciliations and schedules, 25 seats), and Enterprise (everything unlimited with audit trail, single sign-on, security review, named contact, self-hosted or cloud
| Starter plan starting at US$499/month or US$5,988/year (US$4,790.40/year with 20% yearly discount). Includes access to Transparently Dashboard, one seat, and one country exchange. Professional plan available on request with custom pricing, including GenAI tool Luca access, API access, extended data
|
|---|
| Key features | - Connects to POS, ERP, e-commerce, WMS, CRM, SQL Server, Oracle, PostgreSQL, REST APIs, CSV and Excel
- Models data flow between systems and verifies reality against expected flow
- Identifies root causes like rejected records, mapping errors, or rule changes
- Runs on your own infrastructure with encrypted credentials
- Pre-built packs for Shopify, SAP, and Xstore systems
- Scheduled reconciliation and unattended automated checks
- Published apps and workspaces for sharing results across teams
- Audit trail with export for Enterprise tier
- Single sign-on authentication
- Learns and accumulates business context about system relationships over time
| - AI-powered Risk Engine with 200 financial models
- Transparently Rating and Risk Score (A+ to F scale)
- GenAI investigator tool (Luca)
- Forensic reports with 14 accounting risk clusters
- Daily model updates with new data
- Coverage of 85,000 publicly listed companies globally
- API integration capabilities
- Multi-language financial statement analysis
- Minimized false positives through rigorous testing
- 35 years of historical data for analysis
|
|---|
| What makes it different | - Follows differences back to root causes instead of just reporting discrepancies
- Doesn't require replacing existing systems—sits across infrastructure you already have
- Never counts sources, drivers, or self-initiated runs—only counts what scales with users
- Runs locally on your infrastructure with no data leaving your network
- Learns business meaning and context behind data over time to explain system relationships
| - Predicts corporate collapse three years in advance with over 90% accuracy
- Dynamically constructed risk scores that evolve daily rather than static thresholds
- Combines 200 financial models with machine learning on decades of global market data
- Fully explainable AI results with detailed contextual insights
- GenAI forensic accounting assistant for personalized insights
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | Not checked yet ▼ −18 (down) since last check | 31 ● no change since last check |
|---|
| Trust Flow (Majestic) | 0 | 15 |
|---|
| Citation Flow (Majestic) | 13 | 30 |
|---|
| Referring domains (Majestic) | 45 | 128 |
|---|
DataMosaic
Transparently