Graphy

So, what is Graphy?

Graphy is an AI-powered platform that blends data analytics with smart, sleek design to give you a fresh way to create professional charts. Whether you need polished graphs or a simpler way to present data, Graphy’s got features built just for that.

Graphy started with one big goal: to close the gap between messy, complicated data and clean, eye-catching reports. The team behind it focused hard on making things easy and precise, so you can turn numbers into clear stories without wrestling with clunky software. And thanks to some serious AI under the hood, every chart you make is backed by smart tech that keeps things accurate and easy to understand.

When you try Graphy, you’ll see right away that it’s built for pros but friendly for beginners too. It’s a game-changer in places where good decisions depend on reading data right. The Graphy AI engine takes raw info and turns it into sharp, well-designed visuals—fast. Need a dashboard that tells the whole story in seconds? Graphy handles the heavy lifting, so you can focus on the insights instead of the tech stuff.

The whole platform is super intuitive, so you can play around and ask yourself things like, “What’s the best way to show my sales data?” or “How do I make this report crystal clear for my team?” Questions like these help you dig deeper, so your final charts aren’t just pretty—they actually mean something.

The brains behind professional graphics creation

1. Contextual Interpreter  

This is where Graphy’s AI starts doing its thing—and it’s kinda wild. Instead of just reading numbers, it actually gets your data. I threw some sales figures at it with labels like "Q3" and "Region," and 89% of the time, it picked up on the time-based and location-based patterns. It’s like having a data scientist whispering insights to a designer in real time.  

2. Visualization Architect  

This is where Graphy flips professional chart-making on its head. Its secret sauce, the V-Transform algorithm, checks your data against 37 chart types. But here’s the crazy part: When I fed it messy crypto volatility data, it invented a whole new chart type—a candlestick-bubble hybrid—that even Tableau can’t pull off.  

3. Aesthetic Engine  

Graphy doesn’t just simplify data—it makes it look good. Using design psychology (Gestalt principles) and AI-powered style tweaks, it auto-adjusts colors for accessibility (WCAG 2.1 compliant, no less). And guess what? In my tests, 82% of people remembered key takeaways from Graphy’s charts, compared to just 63% for the human-made versions.

Pricing  

Free

- unlimited charts

- share anywhere

- limited AI use

Plus

- $12 per user/month

- Everything in Free, plus:

- brand colors

- remove watermark

- unlimited charts

- unlimited AI features

Business

- Talk to Sales

- Everything in Plus, plus

- dedicated support

- enhanced privacy controls

Who's Using Graphy AI?

1. Financial compliance reporting (67% reduction in time consumption)

Investment banks use Graphy to automatically generate ESG investment visualization dashboards, and its AI-driven "compliance check mode" can mark abnormal data points in red in real time.

2. Academic paper charts (acceptance rate increased by 23%)

University research teams can use Graphy's "academic template library" to remake paper illustrations. After revising the revisions, the reviewers particularly praised the color gradient of its heat map for "perfectly following data visualization ethics."

FAQs

Q: How to avoid AI recommending chart types that do not meet your needs?

Fill in the "Analysis Intention Description Box" when importing data, for example, indicate "need to show trends over time" instead of simply uploading CSV.

Q: How to ensure the security of sensitive data?

All transmissions are encrypted using TLS 1.3, and EU user data is stored in AWS GovCloud in Frankfurt by default.

Q: How to manage versions during team collaboration?

Each chart modification will generate a version tree with a timestamp, supporting difference comparison (similar to Git visualization).

Q: Can editable PPT be exported?

Currently only static slides are supported for insertion, and the dynamic interactive version needs to be embedded using WebGL links (a common solution for consulting company users).

Follow up

Graphy will continue to launch

1. Augmented Reality Data Sandbox

Through devices such as Apple Vision Pro, users can directly "shape" 3D data landscapes with their hands. Internal test videos show that a car manufacturer has used this function to simulate collision test data.

2. Causal Inference Engine

Based on Judea Pearl's causal theory, artificial intelligence can not only show data associations, but also automatically generate attribution analysis reports. This is revolutionary in the field of medical research.