DataMosaic vs Faculty Atlas

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

DataMosaic compared with Faculty Atlas
Detail	DataMosaic	Faculty Atlas
What it does	Automated data verification that explains why numbers don't match across business systems	Find the academics you need to reach
Stage	MVP	Not given
Founded	Not given	Not given
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	Credits purchased at $1 = 10 credits. Starter plan: $10 for 100 base credits. Pro plan: $20 for 200 base credits plus 10% bonus credits. Enterprise plan: $50 for 500 base credits plus 20% bonus credits. Sign up for $10 in free credits with no credit card required. One credit per email address. Credi
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	Filter by state, R1/R2 classification, university and school Data from official university pages with last-checked dates Weekly incremental data checks Filter by academic title and department Faculty opt-out and permanent suppression Hard bounce credit review process Downloadable contact lists with confirmed purchases
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	Pay only for contacts with email addresses Purchased credits never expire Data sourced from official university pages with transparency Two flexible search paths: by state or by discipline
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet −18 (down) since last check	10 −1 (down) since last check
Trust Flow (Majestic)	0	7
Citation Flow (Majestic)	13	20
Referring domains (Majestic)	45	20

5 details filled in for both companies.

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