Fuzzy Match records 0 monthly visits with 0% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Graphite Note records 5,403 monthly visits with -22.2% growth and Free Trial, Paid, Contact for Pricing pricing.
Machine-learning text matching and data cleansing for messy datasets
Turn first-party data into ranked, actionable business decisions
| Dimension / Metric | | |
|---|---|---|
| Official Domain | fuzzymatch.in | graphite-note.com |
| Pricing Model | Freemium, Paid, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 0 (0) | 5.4K (5,403) |
| MoM Traffic Delta | 0 (0%) | -1.54K (-22.2%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (53.3%) |
| Direct Visits / mo | 0 | 2.13K |
| User Rating | 3.9 | 4.3 |
| Supported Platforms | Website | Website |
Machine-learning text matching and data cleansing for messy datasets
Instead of rigid rule lists, Fuzzy Match trains on your uploaded dataset so its models adapt to the patterns and variations actually present in your data.
The engine is built to survive spelling mistakes and typographical errors, making it usable for search engines, spell checking and data cleansing work.
You choose which columns to search, and a single query string can span multiple columns, so you are not forced into exact field-by-field lookups.
Data goes in as CSV or Excel files with no heavy integration project required, and processing runs in the browser-driven workflow.
Turn first-party data into ranked, actionable business decisions
Automated model building for prediction, causal inference and optimisation, targeted at a specific business decision rather than generic exploratory modelling.
Ready-made packs for retail, eCommerce, CPG, manufacturing, hospitality and telco that pair industry-specific models with the decision logic, rules and constraints.
Answers recurring commercial questions such as promotion incrementality, price elasticity, assortment optimisation, churn uplift, inventory optimisation and production scheduling.
Each recommendation comes with an expected-impact view — for example projected margin, retained revenue or uplift — so teams can rank and justify the next move.
AI-powered financial reporting, dashboards and forecasting for accountants and finance teams
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