SigOpt logo — Build the best models. 
SigOpt was acquired by Intel in Octo...

SigOpt

Build the best models. SigOpt was acquired by Intel in October 2020.

Founded 2014 United States San Francisco, United States 2 employees Venture round Total: $8.72M Enterprise Software, SaaS +1

General Information

Company Name SigOpt
Founded Year 2014
Location United States San Francisco, United States
Founders / Decision Makers
Team member
Employees 2
Industries Enterprise Software, SaaS, Machine Learning
Funding Stage Venture round
Social

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About SigOpt

SigOpt, an optimization platform established in 2014, stands out in the intersection of Enterprise Software, SaaS, and Machine Learning. The company, headquartered in the United States, is renowned for enhancing research productivity by optimizing pipelines with minimal disruption.

SigOpt’s cloud-based technology, which is easily deployable, has gained traction among various sectors including insurance, credit card services, algorithmic trading, and consumer packaged goods, demonstrating its versatility and efficacy.

In its growth journey, SigOpt secured a Venture Round investment on 01 February 2018 with backing from In-Q-Tel, a strategic investor known for supporting technology with national security applications. This investment highlights the strategic value and capabilities of SigOpt’s platform.

In October 2020, SigOpt was acquired by Intel, a move that underscores the platform’s potential to significantly scale AI productivity and performance, aligning with Intel’s strategic objectives in the sector.

Business keywords: Optimization Platform, AI Productivity, Research Amplification, ML Workflow Integration, Parameter Tuning, Cloud-Based Solutions, Ensemble Algorithms, REST API Integration, Black-Box Optimization, Insurance Industry, Credit Card Industry, Algorithmic Trading, Consumer Packaged Goods, Design of Experiments

Services & Products

Open source release of SigOpt for intelligent experimentation
Self-hosted server for organizing, visualizing, and sharing experiment progress
Integration with XGBoost for hyperparameter learning
In-memory run of SigOpt's core module

Target Customers

Researchers in additive and nanomanufacturing Machine learning practitioners Material scientists Educational institutions and laboratories

Funding Rounds & Investors (4)

View All
Funding Stage Amount Investors Lead Investors Date
Venture Round Undisclosed 1
In-Q-Tel
01 Feb 2018
Series A $6.60M 5
Blumberg Capital, DCVC +3
24 Aug 2016
Seed Round $2.00M 3
DCVC, SGH Capital +1
16 Jun 2015
Seed Round $120.00K 1
Y Combinator
22 Mar 2015

SigOpt Alternatives & Competitors

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FAQ About SigOpt

Build the best models. SigOpt was acquired by Intel in October 2020.
SigOpt was founded in 2014.
SigOpt is headquartered in San Francisco, United States.
SigOpt operates in Enterprise Software, SaaS and Machine Learning. Its work centres on Optimization Platform, AI Productivity, Research Amplification and ML Workflow Integration. Its customers include Researchers in additive and nanomanufacturing, Machine learning practitioners and Material scientists.
SigOpt has approximately 2 employees.
SigOpt has completed 4 funding rounds, raising a total of $8.72M. The latest funding stage is Venture round.
SigOpt offers: Open source release of SigOpt for intelligent experimentation, Self-hosted server for organizing, visualizing, and sharing experiment progress, Integration with XGBoost for hyperparameter learning, In-memory run of SigOpt's core module.
Top alternatives and competitors to SigOpt include Akamas, A2Zapps Cloud, DSYNC, PredictNow.ai Inc, Parallel Pipes. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
SigOpt and Akamas are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for SigOpt, https://bouncewatch.com/company/sigopt, updated 21 August 2025. When citing, please name BounceWatch and link this page.

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