SigOpt
SigOpt

SigOpt

Build the best models
SigOpt Overview

SigOpt is the only experimentation platform that empowers AI developers to design experiments, explore their modeling problem space, and optimize model selection. By combining seamless experimentation with powerful optimization, SigOpt helps teams like Two Sigma realize 8x faster hyperparameter optimization and OpenAI scale their experiments with sample efficiency to maximize compute utilization.

Product Links
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • Private Cloud or Datacenter
  • SaaS
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Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes
SigOpt Details
Benefits

*Performance: Accelerate hyperparameter optimization jobs by up to 10x faster than other intelligent optimization methods and up to 100x times faster than naive grid and random search

*Productivity: Reduce time to a viable model by 30% by automating tasks like hyperparameter tuning and logging, and providing more seamless opportunity for collaboration in our dashboard

*Efficiency: Scale across your full compute bandwidth seamlessly regardless of your infrastructure or the modeling library you are applying to save wall-clock time and reduce the number of training runs required to get to a viable performance threshold to save total compute required for your modeling project

*Portability: Use SigOpt across all environments, libraries, tasks without adjusting your workflow to avoid vendor lock-in and future-proof your modeling process.

Features

*Experiment design: Define strategies for metrics, parameters, and compute that set training and optimization up for success.

*Model Exploration: Automatically track modeling artifacts during training runs, seamlessly apply active search to explore your parameter space, and visualize checkpoints, metrics, and parallel coordinates to deeply understand your model's behavior

*Model Optimization: Apply any optimizer of your choice within SigOpt or use SigOpt's proprietary optimizer for hyperparameter tuning, run in parallel to utilize your full compute, and utilize advanced research features to uncover novel insights on your modeling problem

*Dashboard: Log your full history of all runs and experiments, capture code snapshots, collaborate on modeling projects, manage user permissions, compare models, and visualize training curves.

*Open and Agnostic: Run SigOpt in any coding environment across any compute infrastructure on any modeling problem with any modeling library without adjusting your workflow.

SigOpt Vendor Information
Vendor Overview

SigOpt is the only experimentation platform that empowers AI developers to design experiments, explore their modeling problem space, and optimize model selection. By combining seamless experimentation with powerful optimization, SigOpt helps teams like Two Sigma realize 8x faster hyperparameter optimization and OpenAI scale their experiments with sample efficiency to maximize compute utilization.

Vendor Details
Year Founded
2014
HQ Location
San Francisco, California, United States
Ownership
Public
SigOpt

Contact Request

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