Full Page

Applied Research

Meridian Labs

Meridian Labs is an applied research group working on problems where software meets the physical world. We prototype, test, and publish — then hand off to product teams who can ship. Founded inside a logistics company, we spun out in 2023 to work across industries. Our researchers come from MIT, ETH Zurich, and KAIST. We publish openly and license commercially.

Focus Areas

Computer Vision for Industrial Inspection, Real-Time Optimization Under Uncertainty, Human-Robot Collaboration Protocols, Synthetic Data Generation for Edge ML, Digital Twin Validation Frameworks

Publications

'Zero-Shot Defect Detection in PCB Manufacturing' — NeurIPS 2025, 'Uncertainty-Aware Routing for Last-Mile Delivery' — ICRA 2024, 'Trust Calibration in Shared Autonomy' — HRI 2024

Partners

Siemens, Toyota Research Institute, Fraunhofer IML, ETH Zurich — Autonomous Systems Lab

Innovation Lab

Research-forward innovation lab page with focus areas, publications, and partnerships.

by DesignGenerate 0 stars 1 renders 0 forks
agencyinnovationresearchtechnology
Use This Template View Full Page Sign in to star

Schema

FieldType
lab_name string
mission text
focus_areas list<string>
publications list<string>
partners list<string>
email email
careers_url link

Apply Values

POST JSON to the API endpoint:

POST /api/templates/innovation-lab/apply
Content-Type: application/json

{
  "lab_name": "Meridian Labs",
  "mission": "Meridian Labs is an applied research group working on problems where software meets the physical world. We prototype, test, and publish — then hand off to product teams who can ship.\n\nFounded inside a logistics company, we spun out in 2023 to work across industries. Our researchers come from MIT, ETH Zurich, and KAIST. We publish openly and license commercially.",
  "focus_areas": [
    "Computer Vision for Industrial Inspection",
    "Real-Time Optimization Under Uncertainty",
    "Human-Robot Collaboration Protocols",
    "Synthetic Data Generation for Edge ML",
    "Digital Twin Validation Frameworks"
  ],
  "publications": [
    "'Zero-Shot Defect Detection in PCB Manufacturing' — NeurIPS 2025",
    "'Uncertainty-Aware Routing for Last-Mile Delivery' — ICRA 2024",
    "'Trust Calibration in Shared Autonomy' — HRI 2024"
  ],
  "partners": [
    "Siemens",
    "Toyota Research Institute",
    "Fraunhofer IML",
    "ETH Zurich — Autonomous Systems Lab"
  ],
  "email": "[email protected]",
  "careers_url": "https://example.com/careers"
}

AI Prompt

Copy this prompt to generate a compatible template with any LLM:

You are an expert frontend designer.
Create a beautiful, modern HTML template for "Innovation Lab" that strictly follows the constraints and schema below.

## Constraints
- Style everything using inline style="" attributes only (no external CSS, no <link>, no <style> tags)
- Do NOT use: <script>, <iframe>, <form>, <input>, <textarea>, <button>, <select>, <object>, <embed>, <details>, <dialog>
- Place data placeholders using this syntax: {{lab_name:string}}, {{mission:text}}, {{focus_areas:list<string>}}
- The template must be a single HTML fragment (no <html>, <head>, or <body> tags)
- Use system fonts: font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif (or Georgia, serif for editorial)

## JSON Schema
```json
{
  "lab_name": "string",
  "mission": "text",
  "focus_areas": [
    "string"
  ],
  "publications": [
    "string"
  ],
  "partners": [
    "string"
  ],
  "email": "email",
  "careers_url": "link"
}
```

## Placeholder Syntax
Each data point uses `{{key:type}}` — for example:
- `{{lab_name:string}}` → string
- `{{mission:text}}` → text
- `{{focus_areas:list<string>}}` → list<string>
- `{{publications:list<string>}}` → list<string>
- `{{partners:list<string>}}` → list<string>
- `{{email:email}}` → email
- `{{careers_url:link}}` → link

Output ONLY the HTML code block. No explanation.
← All Templates