| What it does | Automated data verification that explains why numbers don't match across business systems
| AI trained on firsthand experiences
|
|---|
| Stage | MVP
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| US
|
|---|
| Pricing model | Free trial
| Not given
|
|---|
| 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
| Not given
|
|---|
| 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
| - Continuous content validation at AI speed
- MCP integration with AI tools like Claude, ChatGPT, Copilot, Gemini
- Real buyer interview database for validation
- Citation-backed output with real buyer data
- Slack integration for buyer intelligence questions
- Impact measurement and reporting
- Unlimited research without per-project fees
- Works within existing tools without new interfaces
|
|---|
| 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
| - Enriches existing AI tools with real buyer interview data instead of requiring a new platform
- Validates content continuously at AI speed rather than as a quarterly research exercise
- Every answer is backed by real buyer data with citations, not AI guesses
- Unlimited research without caps or per-project fees
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | Not checked yet ▼ −18 (down) since last check | 42 ▲ +1 (up) since last check |
|---|
| Trust Flow (Majestic) | 0 | 9 |
|---|
| Citation Flow (Majestic) | 13 | 32 |
|---|
| Referring domains (Majestic) | 45 | 169 |
|---|
DataMosaic
GetWhys