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MindBridge AI | The Leader in Autonomous Financial Oversight — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Business Accounting And Finance →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
splantiq.com ↗	68 match 2 shared topics	NG Rise Tech · Enterprise Finance. Fully Autonomous.	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
dattosai.com ↗	67 match 2 shared topics	Dattos AI — AI-powered financial workflow automation	en	business-accounting-and-finance WordPress	robotsllmsaihumans	emailphone	none
hellomaxima.com ↗	67 match 2 shared topics	Maxima \| AI Accounting & Financial Close Automation Platform	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
datasnipper.com ↗	66 match 2 shared topics	DataSnipper \| The Agentic Platform for Audit and Finance	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
resnio.com ↗	65 match 2 shared topics	ClawKeeper - Autonomous AI Bookkeeping	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
antock.com ↗	65 match 2 shared topics	Antock - New Perspectives on Financial Analytics	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
fadiopgenorth.com ↗	65 match 2 shared topics	Fadi Opgenorth — AI Automation for Nonprofit Finance	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
onefinanceprep.com ↗	65 match 2 shared topics	AI Finance Prep	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
dataafrik.com ↗	65 match 2 shared topics	DataAfrik \| AI-Powered Data Analytics and Finance Insights	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
humanxaifinance.org ↗	65 match 2 shared topics	Human × AI Finance	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
decisionengines.ai ↗	65 match 2 shared topics	Decision Engines — AP Automation, Contract & Finance AI Platform - AI-Powered Automation	en	business-accounting-and-finance WordPress WooCommerce	robotsllmsaihumans	emailphone	none
balantabuddy.com ↗	64 match 2 shared topics	Balanta Buddy – Empower your financial analysis with cutting-edge AI technology	en	business-accounting-and-finance WordPress	robotsllmsaihumans	email phone	none
hellophacet.com ↗	64 match 2 shared topics	Phacet - AI Agents for Finance Work	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
500biz.com ↗	64 match 2 shared topics	Generation and Administration of Financial Resources	en	business-accounting-and-finance WordPress	robotsllmsaihumans	emailphone	none
keboola.com ↗	63 match 2 shared topics	Keboola — AI-ready data foundation for finance	en	business-accounting-and-finance Sanity	robots llmsaihumans	emailphone	none
brooked.io ↗	63 match 2 shared topics	Brooked: AI Finance Analyst in Google Sheets \| QuickBooks & Snowflake Connector	en	business-accounting-and-finance	robots llmsaihumans	emailphone	none
startappzenteam.com ↗	62 match 2 shared topics	Agentic AI for Accounts Payable & Expense Management \| AppZen	en	business-accounting-and-finance HubSpot	robotsllmsaihumans	emailphone	none
startappzen.com ↗	62 match 2 shared topics	Agentic AI for Accounts Payable & Expense Management \| AppZen	en	business-accounting-and-finance HubSpot	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.