Trajectory
Trajectory turns real product usage into AI that continuously improves, building the platform for 'continual learning'.
At a Glance
- AI-native startups
- Enterprise AI teams
- GTM organizations
AI Tools by Trajectory
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Trajectory
AI Model Learning From Usage
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Products & Services
Infrastructure for continual learning that turns real-world product usage into AI that continuously improves.
Market Position
Pioneering the 'Continual Learning' infrastructure space by automating the feedback loop between product usage and model weights.
Leadership
Founders
Ronak Malde
CEO and Cofounder. Previously an AI researcher at Google DeepMind (agentic coding) and Windsurf. Trained SWE-1 at Stanford.
Michael Elabd
Cofounder. Previously worked on the Foundational Research Team at Google DeepMind, specializing in LLM capabilities.
Arjun Karanam
Cofounder. Former AI researcher at Apple where he worked on the Vision Pro.
Andrew Dai
Founding roster. Spent over 14 years at Google DeepMind and led data and pre-training efforts for major models.
Executive Team
Ronak Malde
CEO & Cofounder
Ex-DeepMind, Windsurf, Stanford.
Michael Elabd
Cofounder
Ex-DeepMind Foundational Research.
Board of Directors
Founding Story
Founded by a team of elite researchers from Google DeepMind, Apple, and OpenAI to solve the lack of effective visual understanding and feedback loops in current AI models.
Business Model
Revenue Model
B2B SaaS / Enterprise Infrastructure (Demo-based pricing)
Target Markets
- AI-native startups
- Enterprise AI teams
- GTM organizations
- Go-To-Market (GTM) intelligence
- AI agents
- Visual intelligence products
- Product usage feedback loops
- Clay