SPREAD AI

Overview

SPREAD AI is a Berlin-based engineering intelligence company founded in 2019. It specializes in creating a knowledge graph-based Engineering Intelligence Network that integrates disconnected product data into virtual Product Twins, making complex information accessible and actionable for engineering teams in automotive, aerospace, and industrial machinery sectors.

The platform enables visualization of dependencies across various functions and components, supporting a spectrum of use cases including research and development, production, and aftersales. With advanced requirements management and analytics, SPREAD AI empowers accelerated time-to-market, enhances quality, and reduces inefficiencies for clients such as Mercedes, Porsche, VW, and Infineon.

Basic Information

Contact Details

• Website: spread.ai
• LinkedIn: linkedin.com/company/spread-ai

Key Focus Areas & Initiatives

• Engineering Intelligence Network development
• Knowledge graph-based product twin solutions
• Visualization of system dependencies and components
• Automated knowledge flows for complex engineering
• Accelerating time-to-market for engineering teams
• Quality improvement and inefficiency reduction
• Aftersales functionalities for complex products

Technologies Used

• AI
• Active Campaign
• Air
• Cloudflare Insights
• Docker
• Google Tag Manager
• GraphQL
• Hotjar
• Hubspot
• Intel
• Javascript
• Jira
• LinkedIn Sales Navigator
• Linkedin Marketing Solutions
• Mobile Friendly
• Mode
• Multilingual
• Outlook
• React
• Remote
• Route 53
• SQL
• SalesLoft
• Salesforce
• SendInBlue
• TypeScript
• Typeform
• Vimeo
• Webflow
• n8n

Buyer Teams to Target

Engineering & Product

• Head of Engineering
• Engineering Manager
• Lead Systems Architect
• Product Manager
• DevOps Engineer
• Technical Program Manager

IT & Data

• Chief Information Officer
• Head of Data Science
• Data Architect
• Solutions Engineer
• AI/ML Engineer
• IT Operations Lead

Operations & Quality

• Operations Manager
• Quality Assurance Lead
• Manufacturing Engineer
• Continuous Improvement Manager
• Maintenance Supervisor
• Aftersales Operations Lead

Sales & Business Development

• Chief Revenue Officer
• Business Development Manager
• Enterprise Account Executive
• Sales Engineer
• Customer Success Lead
• Partner Manager

What They Buy

• Cloud infrastructure & hosting services
• Product lifecycle management tools
• Engineering collaboration software
• Data integration & analytics platforms
• Low-code development environments
• Application monitoring & diagnostics tools
• Cybersecurity and compliance solutions

Signals to Watch

• 📆 New engineering or product development job postings
• 🚀 Launch of major platform features or modules
• 🤝 Partnerships with automotive or aerospace firms
• 💰 Fresh funding rounds or capital infusions
• 🧑‍💻 Public changes in core technology stack
• 🗺️ Expansion into new international markets