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Data/Analytics
AI/ML
DevTools/Cloud

Trajectory

Intelligence in motion

CORE INFO

$40M
Total Funding
Other / Unspecified
Round
2025
Founded
San Francisco, California, USA
Headquarters

Trajectory develops AI infrastructure that enables continual learning, allowing AI models to improve through real-world user interactions. Their platform is designed for AI-native companies seeking to enhance their systems with dynamic, self-improving capabilities.

  • Trajectory raised $15 million in a seed funding round led by Conviction, with participation from Bessemer Venture Partners and notable AI figures like Jeff Dean and Fei-Fei Li.raising.fi
  • WIRED reported on Trajectory's mission to create AI systems that learn continuously from user interactions, highlighting the founders' backgrounds from Google and Apple.wired.com

WHY WE WOULD WORK AT TRAJECTORY

Innovative AI Solutions

Join a team pioneering AI infrastructure that enables continual learning, allowing models to evolve through real-world user interactions.

Cutting-Edge Technology

Work with a platform that integrates a lightweight SDK for real-time data collection, enhancing AI performance post-deployment.

Collaborative Culture

Be part of a dynamic team collaborating with AI-native companies like Clay and Harvey to redefine how AI learns and adapts.

Strong Funding Support

Benefit from a solid financial foundation with $15M in seed funding from top investors, ensuring resources for growth and innovation.

Impactful Work

Contribute to a mission that prioritizes data governance and user control, making AI systems more responsive and responsible.

Continuous Learning Focus

Engage in a culture that values continual improvement, striving to replace static models with dynamic systems that learn from user feedback.

MARKET AND TRACTION

TOTAL ADDRESSABLE MARKET

  • Trajectory's continual learning platform is applicable across various industries, including marketing, customer service, and legal sectors.

  • The demand for AI systems that can improve through real-world interactions is growing, indicating a significant market opportunity for Trajectory's offerings.
  • NOTABLE CUSTOMERS

  • Trajectory collaborates with AI-native companies, including Clay, Harvey, Decagon, Mercor, and Rogo.

  • These partnerships highlight Trajectory's role in enhancing continual learning capabilities within established AI firms.
  • KEY METRICS

    ✦ KEY METRIC
  • Trajectory raised $15 million in seed funding to advance its continual learning platform.

  • The company's estimated post-money valuation is $115 million, reflecting strong investor confidence in its business model.
  • GROWTH TACTICS

  • Trajectory integrates a lightweight SDK into client products to facilitate the collection of real-time user data.

  • This approach allows for continuous retraining and enhancement of AI models, positioning Trajectory as a leader in AI infrastructure.
  • COMPETITIVE ADVANTAGE

  • Trajectory emphasizes data governance, ensuring clients maintain control over their training data and deployment decisions.

  • The focus on continual learning differentiates Trajectory from competitors that rely on static AI models.
  • PRODUCT AND TECH

    Continual Learning Platform

    Trajectory's platform enables AI models to improve continuously through real-world user interactions, capturing signals like edits and corrections to retrain models post-deployment.

    Lightweight SDK Integration

    The platform includes a lightweight SDK that clients can integrate into their products, allowing for real-time data collection to enhance AI performance.

    User Data Governance Tools

    Trajectory emphasizes high standards of data governance, providing tools that ensure clients maintain control over their training data and deployment decisions.

    Monitoring and Optimization Tools

    The platform offers tools for monitoring learning progress and directing optimization efforts, facilitating the deployment of improvements to AI systems.

    Collaboration with AI-Native Companies

    Trajectory partners with AI-native firms like Clay and Harvey to implement and enhance continual learning capabilities, aiming to replace static models with dynamic, learning systems.

    COMPANY CULTURE

    Values

  • Commitment to continual learning and improvement

  • Emphasis on data governance and user control

  • Collaboration with AI-native companies for innovation

  • Focus on ethical AI practices and user-centric design

  • Dedication to replacing static models with dynamic systems
  • Operating Principles

  • Foster a culture of experimentation and feedback

  • Encourage open communication and knowledge sharing

  • Prioritize user-generated insights for model enhancement

  • Maintain high standards of data privacy and security

  • Support agile methodologies for rapid iteration
  • Learning & Growth

  • Promote continuous professional development opportunities

  • Encourage team members to engage in AI research and innovation

  • Provide resources for skill enhancement in AI and machine learning

  • Support participation in industry conferences and workshops

  • Foster a mentorship culture among team members
  • Team Cadence

  • Regular team meetings to discuss progress and challenges

  • Bi-weekly check-ins to align on goals and objectives

  • Monthly knowledge-sharing sessions to showcase learnings

  • Agile sprints to encourage rapid development cycles

  • Open-door policy for feedback and suggestions
  • Work Style

  • Emphasis on remote collaboration and flexibility

  • Encourage a results-oriented approach over strict hours

  • Foster a supportive environment for creative problem-solving

  • Utilize modern tools for project management and communication

  • Promote work-life balance to enhance productivity