
AI · Santa Clara, United States
Mage AI
Mage is a consumer-focused AI content platform that simplifies generative AI, allowing users to easily create and share images and videos through intuitive Concepts powered by top generative AI models.
Backed by SineWave Ventures, Gradient Ventures, Designer Fund and 1 more
Work at Mage AI?
- Location
- Santa Clara, United States
- Team size
- 51-200
- Founded 2021
- Total raised
- $18.3M
- Series A · last round Jul '26
About Mage AI
Mage is an AI content platform designed to make creativity accessible and fun for everyone. It empowers users to effortlessly create and share images and videos through easy-to-use Concepts, all powered by top Generative AI models. As a consumer-focused platform, Mage is dedicated to simplifying complex AI technologies, ensuring intuitive and user-friendly experiences for its audience.
Culture & values
They have a dynamic team.
They proudly embrace being a group of misfits.
They are on a mission to change the world through the power of storytelling and the freedom of expression.
The team at Mage AI
51-200 peopleSee everyone on LinkedIn
Team breakdown
Team Distribution
- Other Specialized37%
- Unclassified20%
- Business Operations19%
- Engineering12%
- Sales & Business Development7%
Where the Team Studied
- 1.Stanford University
- 2.University of California, Berkeley
- 3.Carnegie Mellon University
- 4.Georgetown University
- 5.University of Washington
Team Worked At
- Airbnb
- Microsoft
- McKinsey & Company
Location
Team Composition
41 people- Operations8
- Engineering6
- Entrepreneurship3 senior3
- Leadership3
- Administrative2
- Arts and Design2
- Sales2
- Business Development1
Life at Mage AI
Frequently asked questions
Mage AI is based in Santa Clara, United States.
Ask your AI about Mage AI
Connect Clera once, then ask what they're hiring for.
Ask about this company
Tell me about Mage AI (https://www.getclera.com/companies/mage-ai). Then find open roles at similar startups on Clera that fit my profile.
Not connected yet? Takes a minute
https://mcp.getclera.comSign in with your Clera account. MCP docs
Companies similar to Mage AI
RLWRLD addresses a critical challenge in robotic automation by developing Robotics Foundation Models that enable autonomous systems to perform complex manipulation tasks with physical dexterity. The company stands out as one of the few RFM developers actively deploying real-world solutions in customer facilities across Korea, Japan, and the US, demonstrating proven execution beyond research and development. Founded by serial deep tech entrepreneurs with successful exits, RLWRLD brings significant expertise to the rapidly evolving robotics sector. Based in San Francisco, the company is positioned at the forefront of advancing autonomous manipulation capabilities for industrial applications.
Unframe is a Managed AI Delivery Platform founded in 2023 by repeat founders who previously built and sold a cybersecurity company to Akamai for approximately half a billion dollars. The company helps large enterprises deploy custom, LLM-powered AI solutions in days rather than months, serving Fortune 500 customers across financial services, real estate, life sciences, retail, technology, media, and manufacturing. Unframe's LLM-agnostic, Blueprint-led platform is built for enterprise scale and security with no customer data shared, and the company employs value-based pricing with no upfront costs, with typical deals starting around $250K and growing to seven figures within months. The company operates with a lean leadership structure led by co-founders serving as CEO and Chief Operations Officer, supported by Global VPs overseeing Sales, Product, and other functions, with team members distributed across the US and the UK.
Bayshore is the AI front door for legal and compliance, providing a single, centralized platform where regulation, policy, and expert guidance convert into automated, audit-ready decisions. By consolidating regulatory knowledge into actionable answers, it streamlines compliance workflows and accelerates decision-making. The result is consistent, auditable outputs that support risk management and regulatory readiness.


