Audience
AI product teams that need to capture real user feedback, improve model behavior over time, and safely deploy continually learning systems
About Trajectory
Trajectory is the platform for continual learning, built to turn real product usage into AI that continuously improves. It helps every product become a living system by treating every edit, retry, correction, re-prompt, and user acceptance as a signal. User behavior reflects real task success more accurately than any benchmark, and Trajectory gives teams a creative surface to observe, direct, and craft the intelligence behind their product. With a lightweight SDK, teams can plug Trajectory into an AI product and start capturing the signals users are already generating, including traces, corrections, re-prompts, and edits. It helps teams understand what the model is learning, steer it toward what matters, and deploy updates with confidence. It is designed for domains where model behavior shifts meaningfully from one setting to the next, making steerability a core operational requirement rather than just a research interest.
Other Popular Alternatives & Related Software
Activeloop
Activeloop provides a continuous learning infrastructure for teams building software, agents, and data pipelines. Its core product, Deeplake, is the GPU database for agents, built around the idea that if your AI is on a GPU, your data should be too. Deeplake is designed to keep AI agents grounded, versioned, queryable, and GPU-native by combining vector and tensor data in one store, with GPU streaming to fine-tuning and a serverless Postgres interface. It gives teams a data engine for multimodal AI, allowing them to store, index, search, and stream data to models and agents. Instead of treating AI data as scattered files, embeddings, metadata, and traces across disconnected systems, Activeloop brings them into an infrastructure that can support retrieval, model development, fine-tuning, and agent memory workflows. It also includes Hivemind, where agent traces become team skills, so work solved once can be shared across the organization through trajectory capture.
Learn more
Forsy
Forsy is built around authentic human signal from real agent workflows, helping teams capture, understand, and trade agent trajectory data across the agent stack. It tracks agent work in real time as it happens, rather than reconstructing activity afterward, creating native capture for traces, tasks, and toolchain activity. It is designed for full coverage across everyday tasks, specialized workflows, and different domains, giving teams one engine for trajectory data across the agents they already use. Forsy turns AI agents into strategic assets by making authentic workflow data discoverable, licensable, and sellable through a market for agent data. Its high-fidelity data is purpose-built for teams building more capable and reliable agents, helping them access the kinds of real workflow traces needed to improve agent behavior, reliability, and evaluation.
Learn more
Cognita
In order to achieve Trajectory’s goal of fostering continuous learning amongst our clients, Trajectory has created Cognita, an e-learning platform, geared to busy professionals who want to brush up on their Oracle NetSuite knowledge on an ongoing basis. This flexible offering allows you to take courses totally online or with regular virtual check-ins with professional trainers. Complete real-world assignments and cases to apply what you have learned. Course content has been designed to empower students to quickly reach proficiency with NetSuite. Benefit from expert training resources and support that are accessible, convenient and comprehensive. Start with the basics and gain experience at your own pace. Cognita offers a variety of resources to prepare students for certification exams. Companies with certified professionals experience more successful deployments and a greater return on their investment.
Learn more
AfterQuery
AfterQuery is an applied research platform designed to create high-quality training data for frontier artificial intelligence models by capturing how real experts think, reason, and solve problems in professional contexts. It focuses on transforming real-world work into structured datasets that go beyond simple outputs, encoding decision-making processes, tradeoffs, and contextual reasoning that traditional internet-sourced data cannot provide. It works directly with domain experts to generate supervised fine-tuning data, including prompt–response pairs and detailed reasoning traces, as well as reinforcement learning datasets with expert-designed prompts and grading frameworks that convert subjective judgment into scalable reward signals. It also builds custom agent environments across APIs and tools, enabling models to be trained and evaluated in realistic workflows, and captures computer-use trajectories that demonstrate how humans interact with software step by step.
Learn more
Integrations
Company Information
Trajectory
United States
trajectory.ai/
Videos and Screen Captures
Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online