Physical Intelligence Brand: Colors, Fonts, Logo & Visual Identity

Physical Intelligence Brand Identity

A complete profile of Physical Intelligence's visual system — colors, typography, components, and personality — extracted from https://www.physicalintelligence.company/. Built for designers, agents, and AI tools.

Color Palette

Brand palette extracted from https://www.physicalintelligence.company/.

Typography

Each font links to its Google Fonts page where available.

Visual Assets

Favicon

Social Card

UI Components

Live previews rendered using Physical Intelligence's actual button styles.

Button Primary

Button Secondary

Brand Personality

Physical Intelligence Brand in the Wild

Image: pi.website

Source: physicalintelligence.company

Image: pi.website

Source: physicalintelligence.company

Image: pi.website

Source: physicalintelligence.company

Image: physicalintelligence.company

Source: physicalintelligence.company

Image: pi.website

Source: physicalintelligence.company

Image: pi.website

Source: physicalintelligence.company

Frequently Asked Questions

  1. What is Physical Intelligence's primary brand color?
    Physical Intelligence's primary brand color is #111827. It anchors the visual identity across their website, product UI, and marketing materials.

  2. What accent color does Physical Intelligence use?
    Physical Intelligence uses #FBD45B as an accent color, typically applied to interactive elements like links, buttons, and call-to-action emphasis.

  3. What font does Physical Intelligence use?
    Physical Intelligence uses Signifier as the primary typeface across body and headings.

  4. Does Physical Intelligence use a light or dark theme?
    Physical Intelligence's primary site uses a light color scheme, with a background of #F5F4EF.

  5. How was this brand profile generated?
    This profile was extracted from https://www.physicalintelligence.company/ using the Firecrawl branding extraction API, which inspects the live page's CSS, fonts, color tokens, and component styles. It is not affiliated with or endorsed by Physical Intelligence.

Methodology

Brand data on this page was extracted from https://www.physicalintelligence.company/ on 2026-07-27 using the Firecrawl branding extraction API, which inspects each site's live CSS, font network requests, color tokens, and component styles. Brand-in-the-wild images were sourced via Google Image Search restricted to ad/webinar/report queries and link out to their original third-party publishers; we link to the source rather than re-hosting third-party content. This page is published by CharacterQuilt and is not affiliated with or endorsed by Physical Intelligence.

Machine-Readable Profile

Direct endpoints for agents, designers, and tooling. No login or auth required.

GET /branding/physical-intelligence.json GET /branding/physical-intelligence/llms.txt

{
  "colorScheme": "light",
  "fonts": [
    {
      "family": "Signifier",
      "role": "unknown"
    },
    {
      "family": "SFMono-Regular",
      "role": "monospace"
    }
  ],
  "colors": {
    "primary": "#111827",
    "secondary": "#9CA3AF",
    "accent": "#FBD45B",
    "background": "#F5F4EF",
    "textPrimary": "#000000",
    "link": "#FBD45B"
  },
  "typography": {
    "fontFamilies": {
      "primary": "Signifier",
      "heading": "Signifier"
    },
    "fontStacks": {
      "heading": [
        "ui-monospace",
        "SFMono-Regular",
        "Menlo",
        "Monaco",
        "Consolas",
        "Liberation Mono",
        "Courier New",
        "monospace"
      ],
      "body": [
        "ui-monospace",
        "SFMono-Regular",
        "Menlo",
        "Monaco",
        "Consolas",
        "Liberation Mono",
        "Courier New",
        "monospace"
      ],
      "paragraph": [
        "ui-monospace",
        "SFMono-Regular",
        "Menlo",
        "Monaco",
        "Consolas",
        "Liberation Mono",
        "Courier New",
        "monospace"
      ]
    },
    "fontSizes": {
      "h1": "14px",
      "h2": "14px",
      "body": "14px"
    }
  },
  "spacing": {
    "baseUnit": 4,
    "borderRadius": "4px"
  },
  "components": {
    "buttonPrimary": {
      "background": "#F5F4EF",
      "textColor": "#000000",
      "borderRadius": "0px",
      "borderRadiusCorners": {
        "topLeft": "0px",
        "topRight": "0px",
        "bottomRight": "0px",
        "bottomLeft": "0px"
      },
      "shadow": "none"
    },
    "buttonSecondary": {
      "background": "#FBFBF9",
      "textColor": "#000000",
      "borderColor": "#D4D3CB",
      "borderRadius": "0px",
      "borderRadiusCorners": {
        "topLeft": "0px",
        "topRight": "0px",
        "bottomRight": "0px",
        "bottomLeft": "0px"
      },
      "shadow": "none"
    }
  },
  "images": {
    "logo": null,
    "favicon": "https://www.pi.website/icon.png",
    "ogImage": "https://physicalintelligence.company/images/og/og.png"
  },
  "__llm_button_reasoning": {
    "primary": {
      "index": 1,
      "text": "VLAs that Train Fast, Run Fast, and Generalize BetterMay 28, 2025A method to train vision-language-a",
      "reasoning": "Button #2 has a vibrant accent color (#F5F4EF) that stands out as a primary call-to-action. It is part of the largest color group, indicating its importance."
    },
    "secondary": {
      "index": 0,
      "text": "The Physical Intelligence LayerFebruary 24, 2026General-purpose physical intelligence models will en",
      "reasoning": "Button #1 has a different background color (#FBFBF9) and serves as a secondary option with a more subtle appearance."
    },
    "confidence": 0.95
  },
  "personality": {
    "tone": "modern",
    "energy": "medium",
    "targetAudience": "engineers, scientists, and tech enthusiasts"
  },
  "designSystem": {
    "framework": "tailwind",
    "componentLibrary": ""
  },
  "confidence": {
    "buttons": 0.95,
    "colors": 0.9,
    "overall": 0.925
  },
  "__llm_metadata": {
    "logoSelection": {
      "llmCalled": false,
      "llmSucceeded": false,
      "finalSource": "none"
    },
    "buttonClassification": {
      "llmCalled": true,
      "llmSucceeded": true
    }
  }
}