Enterprise IT / AI

Model Deployment & Serving

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER

What is Model Deployment & Serving?

Model deployment vendors aim to make bringing a machine learning model to production faster and less costly, positioning themselves as bridges between enterprise data science and DevOps teams. Vendors offer tools for machine learning deployment on Kubernetes as well as serverless technology that can be used to deploy AI in cloud and on-prem environments.

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Leaders

Leaders are the most established service providers in the market and possess the breadth to address various customer needs.

See why these companies made it as leaders for Model Deployment & Serving. These companies include Algorithmia.

Algorithmia logo
Algorithmia

United States / Founded Year: 2014

Algorithmia gives developers the ability to turn algorithms into scalable web services with a single click. Application developers can then integrate the algorithm into their own applications with under 10 lines of code. Algorithmia hosts the web services, makes them discoverable, and enables algorithm developers to get paid for usage.On July 27th, 2021, Algorthmia was acquired by DatRobot. The terms of the transaction were not disclosed.

Known Customers

Datadog, In-Q-Tel, Ernst & Young

Key People

Kenny Daniel

Highfliers

Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.

See why these companies made it as highfliers for Model Deployment & Serving. These companies include Datatron.

Datatron logo
Datatron

United States / Founded Year: 2016

Datatron's real-time big data AI engine is complete with proprietary software that allows for enterprises to optimize real-time business decisions.

Key People

Jerry Xu, Harish Doddi

Outperformers

Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.

See why these companies made it as outperformers for Model Deployment & Serving. These companies include Seldon.

Seldon logo
Seldon

United Kingdom / Founded Year: 2014

Seldon Technologies accelerates the adoption of machine learning to solve challenging problems. The company democratizes technologies that were once the preserve of tech giants – and putting them in everyone's hands.

Key People

Alex Housley

Challengers

Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.

See why these companies made it as challengers for Model Deployment & Serving. These companies include Arrikto and Bentoml.

Arrikto logo
Arrikto

Greece / Founded Year: 2015

Arrikto develops machine learning solutions that enable the user's data science and machine learning operations teams to collaborate together to continuously build, train, deploy, and serve machine learning models with DevOps efficiency.

Key People

Constantinos Venetsanopoulos, Vangelis Koukis, Mark Sue, and 1 more

Bentoml logo
Bentoml

United States / Founded Year: 2018

Bentoml develops a simple yet flexible workflow empowering data science teams to continuously ship prediction services.

Key People

Bozhao Yu, Chaoyu Yang

What is Model Deployment & Serving?

Model deployment vendors aim to make bringing a machine learning model to production faster and less costly, positioning themselves as bridges between enterprise data science and DevOps teams. Vendors offer tools for machine learning deployment on Kubernetes as well as serverless technology that can be used to deploy AI in cloud and on-prem environments.

Selling a product or service?
Reach more buyers.

Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.

Claim your CB Insights Profile