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.
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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.
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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.
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nxtAERO
Likewise, it provides practitioners with a set of highly specialized and customized tools tailored to meet their operational needs. IAI licenses its nxtAERO products to several organizations within NASA, FAA and DOD. The Kinematic Trajectory Generator (KTG) is a validated, medium fidelity wheels-off-to-wheel-on 4D trajectory generator. Specifically, KTG uses Eurocontrol’s BADA aircraft performance data to generate nominal LNAV, VNAV, and 4D trajectories. Additionally, KTG uses the total energy model to generate off-nominal trajectories. KTG is available as a Java-based library with documented APIs for integration with third-party simulation tools. Furthermore, KTG integrates with NASA’s Airspace Concept Evaluation System (ACES). Developed under NASA SBIRs, KTG is commercially available from IAI.
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