SigOpt

Platform for optimizing AI and ML experiments

San Francisco, California, United States

About SigOpt

SigOpt provides a platform that helps professionals in artificial intelligence (AI) and machine learning (ML) optimize their experimentation processes. The platform offers tools for designing and conducting experiments, allowing users to ask the right questions, explore various experimental setups, and understand modeling challenges. This is particularly valuable for data scientists, AI leaders, and machine learning engineers across technology, academia, and research sectors. SigOpt operates on a subscription-based model, providing clients with access to its tools and resources, which ensures a steady revenue stream and continuous updates. The company's goal is to streamline the experimentation process, saving clients time and resources while improving the accuracy and quality of their models.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$8.5MTotal Funding
SERIES_ACompany Stage
Enterprise Software, AI & Machine LearningIndustries
11-50Employees

Risks

Internal competition with Intel's Cnvrg.io may affect SigOpt's market position.
Integration challenges with Intel's AI hardware could delay synergy realization.
Market saturation in AI optimization tools may lead to pricing pressures.

Differentiation

SigOpt's black-box optimization requires only parameter space and performance metric.
The platform integrates seamlessly into existing ML workflows via REST API.
SigOpt offers continuous model refinement for optimal parameter configuration.

Upsides

Increased demand for AI model optimization tools boosts SigOpt's market potential.
Collaboration with Intel-acquired companies enhances integrated AI solutions.
Expansion into non-traditional sectors like healthcare increases need for optimization tools.

Funding

Total raised$8.48 M
Latest valuation$33.00 M
StageSERIES_A