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

Typography

Visual Assets

UI Components

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.

Working with these fonts

Not found on Google Fonts? Suggested flow to obtain fonts:

  1. Open the company's homepage in a browser with DevTools.
  2. In the Network tab, filter by "Font" (or by extension: woff2, woff, ttf, otf).
  3. Hard-reload the page and click around (certain weights load on specific routes).
  4. For each captured font URL: right-click → Save As to download.
  5. 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": ""
 }
}