AGENCY LIST

Sigmoidal

New York, New York, United States
Visit sigmoidal.io

AI consulting and software development for generative AI solutions

Based in New York, Sigmoidal is an AI consulting company founded in 2016. It specializes in helping businesses capture the opportunities presented by Generative AI. The company offers a suite of services including Sigmoidal Edge™ for AI consulting, Sigmoidal 360™ for AI software development, and Sigmoidal Aurora™ for AI knowledge assistance.

Sigmoidal's interdisciplinary team is composed of globally integrated data science professionals with backgrounds in data science and engineering. They possess expertise in object-oriented programming, MLops, data-centric AI, NLP, and predictive analytics. The team works with Fortune 500 companies to create safe and beneficial AI systems, ensuring a positive impact and sustainable progress.

Utilizing Python as their main programming language and leveraging libraries such as PyTorch, XGBoost, OpenAI, and scikit-learn, Sigmoidal also employs cloud services like AWS EC2, AWS Lambda, and AWS SageMaker to deliver broad AI solutions. Their experience spans across Generative AI, LP, and machine learning, making them a partner in AI strategy and governance.

10
YEARS IN BUSINESS
8
SERVICES

Capabilities

Category

AI and Machine Learning

Services

Agency details

Team size
51-200 people
Founded
2016 (10 years)

About this agency on Agency List

Sigmoidal holds an Agency List Score of 79 out of 100.

That score is higher than 71% of the 36,920 agencies Agency List has assessed so far.

The Agency List Score measures how well an agency documents its work in public: named clients, quantified outcomes, and whether those outcomes are attributed to the agency rather than to the client.

It does not measure client satisfaction, price, or availability.

How the Agency List Score is measured

Assessment date

Agency List assessed Sigmoidal in September 2026, reading 7 pages published on sigmoidal.io.

The score reflects what Sigmoidal had published by that date; anything published since has not been read.

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