Simulate, build and deploy reasoning
Hyde is the integrated training and inference platform to build frontier agents
It starts with the environment
Prepare training-grade data for high-judgement domains
Context-specific benchmarks
Distil your expert knowledge into proprietary evaluation rubrics, creating a reliable way to assess every model against what actually matters to your business
Richer training data
Leverage Hyde’s synthetic data engine which understands semi-documented parts of your business and creates a holistic simulation training environment to overcome data scarcity
Reusable foundation
Turn every dataset, trajectory and evaluator into modular assets on your workbench to accelerate model development. Plug and play with new models and techniques without rebuilding from scratch each time.
Train smarter, not harder
Find the most efficient way to train
More efficient training
Accelerate model development with GPU-optimized training pipelines that have delivered up to 100× faster training efficiency
Support for training techniques
Apply advanced post-training techniques and real-world simulations to produce resilient, high-performing models
Trajectory engineering
Visualize model trajectories in real time, and use those insights to update training policies on the fly
Inference that tunes itself to your workflows
Continuously improve with each interaction
Optimized inference
Choose inference parameters to deliver accurate, reliable and resilient production results without sacrificing cost, latency or efficiency
Continuous improvement
Retrain and hyper-tune the model using the tightly integrated inference-training loop to ensure model improvement with each run
Comprehensive version control
Rapidly iterate without worrying about breaking production. Robust version control and audibility ensure smooth rollbacks and collaboration
