What is Trajectory?
Trajectory operates as a specialized research and product entity dedicated to the development of continual learning platforms for artificial intelligence. The company addresses the inherent limitations of static AI models by capturing granular user interaction data, including corrections, edits, and rejections. This data is then utilized to post-train agentic AI models, ensuring they improve iteratively rather than remaining fixed after deployment.
The company's technical architecture is designed to synthesize agent actions with user feedback, enabling organizations to refine model weights, prompts, and workflows simultaneously. With a team comprised of veterans from industry leaders such as DeepMind, OpenAI, and Scale AI, Trajectory is currently powering production-grade agentic systems for AI-native partners, including Clay, Harvey, and Decagon. This market position highlights the company's role as a vital component in the emerging Software 3.0 ecosystem.
How much funding has Trajectory raised?
Trajectory has raised a total of $15M across 1 funding round:
Other Financing Round
$15M
Other Financing Round (2026): $15M with participation from Radical Ventures, Bessemer Venture Partners, and Conviction
Key Investors in Trajectory
Conviction
Conviction Partners is a venture firm focused on investing in AI-Native and Software 3.0 companies, primarily targeting early-stage startups with investments ranging from $1 to $25 million.
Bessemer Venture Partners
Bessemer Venture Partners is a global venture capital firm with a long history of backing transformative technology companies across various stages of growth.
Radical Ventures
Radical Ventures is a venture capital firm investing in bold entrepreneurs developing and applying artificial intelligence and other deep technologies to invent the future.
What's next for Trajectory?
With this major enterprise-level funding, Trajectory is well-positioned to scale its infrastructure and expand its footprint within the enterprise AI sector. The strategic focus will likely center on deepening the integration capabilities of its platform, allowing for more complex failure chain analysis and automated model optimization. As the demand for reliable, self-improving agentic systems grows, Trajectory's ability to turn user feedback into actionable model improvements will be a key differentiator.
The company is expected to leverage its deep technical expertise to further refine its post-training methodologies, potentially setting a new standard for how AI agents are maintained in high-stakes production environments. By continuing to partner with leading AI-native firms, Trajectory aims to solidify its role as the foundational layer for the next generation of adaptive, intelligent software.
