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sigopt.com

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Founded Year

2014

Stage

Acquired | Acquired

Total Raised

$8.72M

About SigOpt

SigOpt provides an optimal, automatic solution, bringing plug-and-play metrics optimization to small and mid-sized companies that can't afford a full data science team. The company can also help larger companies that want to optimize now, instead of waiting to hire the right person in house.On October 29th, 2020, SigOpt was acquired by Intel. Terms of the transaction were not disclosed.

SigOpt Headquarter Location

100 Bush St Suite 1100

San Francisco, California, 94104,

United States

562-774-4678

Latest SigOpt News

Kisaco Research: SigOpt is a Leader in AI Software

Mar 26, 2021

Download A SigOpt engineer works on next-generation software for deep learning. (Credit: SigOpt) March 26, 2021 11:00 AM Eastern Daylight Time SANTA CLARA, Calif.--( BUSINESS WIRE )--What’s New: A new report from analyst firm Kisaco Research positions SigOpt , an Intel company, as a leader in artificial intelligence (AI) software acceleration, due to the quality of its optimization platform, breadth of its market penetration and strength of its go-to-market strategy. By making customers’ AI workloads more efficient, SigOpt helps them get the most out of their hardware investment. “SigOpt, an Intel company, achieved an impressive score across all dimensions of our KLC evaluation to be ranked as Leader. Customers using SigOpt benefit from productivity gains, faster time to train, and efficient utilization of compute. In combination, this empowers modelers to bring more models into production on a faster timeline, boosting the overall return of AI for enterprises.” – Michael Azoff, Kisaco Research What the Study Says: SigOpt is prominent in the machine learning community for its automated, scalable and high-performing hyperparameter optimization solution that can be applied to any parameterized system but is most often used in the context of deep learning tasks. Kisaco Research says the platform can take “operational tasks that are time intensive for machine learning and [make] them easy and seamless, using AI to assist in this task.” For customers, this means a boost in productivity and the ability to tune algorithms faster and utilize compute more efficiently. The report details how two of SigOpt’s Fortune 500 customers, Two Sigma and an unnamed large global technology consulting firm, use the advanced features that are only available in its platform to solve entirely new business problems. In the case of the consulting firm, SigOpt helped the firm yield productivity gains of over 30% and projected value of nearly $50 million annually. Primary SigOpt functionalities are designed to help manage, optimize and scale AI applications. (See graphic for a representation of how SigOpt fits into the machine learning technology stack.) Why It’s Important: The complexity, size and variety of AI models is exploding, making it resource-intensive to efficiently fine-tune models to meet the particular needs of a given project. SigOpt’s platform eases this burden by introducing a more efficient approach to model development: integrating best-in-class automation and productivity tools for model development, including model artifact tracking, training visualization, and sample-efficient hyperparameter optimization. For developers, data scientists, researchers and machine learning engineers, this means a highly intuitive and efficient modeling experience that ultimately leads to much better AI results. SigOpt’s fully hardware and software-agnostic platform also provides the same user experience throughout – including deep learning, machine learning, reinforcement learning, or simulations. When combined with Intel AI hardware and the consistent developer experience afforded by Intel® oneAPI Toolkits , SigOpt will continue to offer developers the most efficient way to develop and deploy AI models. Individuals and enterprises can access the SigOpt platform by signing up on the SigOpt website . About Intel Intel (Nasdaq: INTC) is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better. To learn more about Intel’s innovations, go to newsroom.intel.com and intel.com . © Intel Corporation. Intel, the Intel logo and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others. Contacts

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Expert Collections containing SigOpt

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

SigOpt is included in 6 Expert Collections, including Smart Money VCs (2017-2019).

S

Smart Money VCs (2017-2019)

6,297 items

We crunched the data to identify the 24 VC firms with the best combination of portfolio valuations and investment outcomes.

A

AI in Fintech

155 items

E

Enterprise SaaS

2,452 items

Software-as-a-service (SaaS) – internet based software offered as a subscription – continues to become the de facto standard for software distribution and consumption. Enterprise SaaS continues to show particular promise, emerging as one of the most well-funded categories. Startu

A

Automation in Banking

380 items

Startups providing solutions to banks to automate processes and operations.

A

AI 100 2019

100 items

A

Artificial Intelligence

7,340 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

SigOpt Patents

SigOpt has filed 18 patents.

The 3 most popular patent topics include:

  • Artificial neural networks
  • Machine learning
  • Classification algorithms
patents chart

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11/26/2019

8/11/2020

Mathematical optimization, Optimization algorithms and methods, Machine learning, Artificial neural networks, Operations research

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8/11/2020

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Mathematical optimization, Optimization algorithms and methods, Machine learning, Artificial neural networks, Operations research

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Status

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SigOpt Web Traffic

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Page Views per User (PVPU)
Page Views per Million (PVPM)
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