llms.txt
Datafold Brand Identity
A complete profile of Datafold's visual system — colors, typography, components, and personality.
Quick Facts
| Field | Value |
|---|---|
| Primary | #356FFF |
| Accent | #356FFF |
| Body Font | Aspekta |
| Heading Font | Aspekta |
Color Palette
- primary: #356FFF
- secondary: #1890FF
- accent: #356FFF
- background: #FFFFFF
- textPrimary: #262626
- link: #40A9FF
Typography
- primary: Aspekta — https://fonts.google.com/specimen/Aspekta
- heading: Aspekta — https://fonts.google.com/specimen/Aspekta
Visual Assets
- Logo:
- Favicon:
- Social card (og:image):
UI Components
- input: background=#FFFFFF, textColor=#262626, borderColor=#D9D9D9, borderRadius=4px, shadow=none
- buttonPrimary: background=#356FFF, textColor=#FFFFFF, borderColor=#356FFF, borderRadius=4px, shadow=none
- buttonSecondary: background=#0D154B, textColor=#FFFFFF, borderRadius=0px, shadow=none
Brand Personality
Tone: professional · Energy: medium · Audience: data engineers and tech professionals
Datafold Brand in the Wild
Real-world brand assets — ads, campaigns, marketing materials.
- Data quality checks: Why you need them
Image: Source: Data Quality Checks - Datafold Blog | Insights on Data Quality & Engineering
Image: Source: Datafold Blog - OAuth Support - Datafold
Image:
Source: OAuth Support
Working with these fonts
Not found on Google Fonts? Suggested flow to obtain fonts:
- Open the company's homepage in a browser with DevTools.
- In the Network tab, filter by "Font" (or by extension: woff2, woff, ttf, otf).
- Hard-reload the page and click around (certain weights load on specific routes).
- For each captured font URL: right-click → Save As to download.
- View the CSS and copy out the matching @font-face declarations.
Always ensure you have permission to use brand assets — most proprietary fonts are licensed.
Machine-Readable Profile
{
"colorScheme": "light",
"fonts": [
{
"family": "Aspekta",
"role": "body"
},
{
"family": "Ltsuperiormono",
"role": "monospace"
},
{
"family": "Arial",
"role": "body"
}
],
"colors": {
"primary": "#356FFF",
"secondary": "#1890FF",
"accent": "#356FFF",
"background": "#FFFFFF",
"textPrimary": "#262626",
"link": "#40A9FF"
},
"typography": {
"fontFamilies": {
"primary": "Aspekta",
"heading": "Aspekta"
},
"fontStacks": {
"heading": [
"Aspekta",
"sans-serif"
],
"body": [
"Aspekta",
"sans-serif"
],
"paragraph": [
"Aspekta",
"sans-serif"
]
},
"fontSizes": {
"h1": "81px",
"h2": "63px",
"body": "15.75px"
}
},
"spacing": {
"baseUnit": 4,
"borderRadius": "2px"
},
"components": {
"input": {
"background": "#FFFFFF",
"textColor": "#262626",
"borderColor": "#D9D9D9",
"borderRadius": "4px",
"borderRadiusCorners": {
"topLeft": "4px",
"topRight": "4px",
"bottomRight": "4px",
"bottomLeft": "4px"
},
"shadow": "none"
},
"buttonPrimary": {
"background": "#356FFF",
"textColor": "#FFFFFF",
"borderColor": "#356FFF",
"borderRadius": "4px",
"borderRadiusCorners": {
"topLeft": "4px",
"topRight": "4px",
"bottomRight": "4px",
"bottomLeft": "4px"
},
"shadow": "none"
},
"buttonSecondary": {
"background": "#0D154B",
"textColor": "#FFFFFF",
"borderRadius": "0px",
"borderRadiusCorners": {
"topLeft": "0px",
"topRight": "0px",
"bottomRight": "0px",
"bottomLeft": "0px"
},
"shadow": "none"
}
},
"images": {
"logo": "https://www.datafold.com/images/datafold-logo.svg",
"favicon": "https://www.datafold.com/favicon.svg",
"ogImage": "https://cdn.prod.website-files.com/66e0630c6eed1904371a5fa7/68373b4884f4560ab8da2a15_OG%20image.png",
"logoHref": "/",
"logoAlt": "Datafold data engineering"
},
"personality": {
"tone": "professional",
"energy": "medium",
"targetAudience": "data engineers and tech professionals"
},
"designSystem": {
"framework": "custom",
"componentLibrary": ""
}
}