MicrosoftSoftware / SaaSMedia and ContentAI and Machine LearningGenerative AI / LLMCustomer ExperienceProductivity Improvement2023MicrosoftMS#0078d4Software / SaaSUnited StatesFounded in 2016 by Eric Seyoung Jang, DeepBrain AI has been on a mission to design AI that helps people be the most creative and meaningful versions of themselves. Based out of Palo Alto, California, DeepBrain AI…Now, with the power of Azure OpenAI Service, we can cut down on development time and eliminate many manual…Jul 12, 20235Media and ContentAzure Cognitive Services · Azure Kubernetes Service · Azure OpenAI Service02023-07-125
Founded in 2016 by Eric Seyoung Jang, DeepBrain AI has been on a mission to design AI that helps people be the most creative and meaningful versions of themselves. Based out of Palo Alto, California, DeepBrain AI supports customers around the globe with its groundbreaking AI solutions across several industries, including finance, commerce, retail, education, and media. Now, with the power of Azure AI solutions and Azure Kubernetes Service (AKS), DeepBrain AI can supercharge its offerings to bring its customers exciting new capabilities.
↗Now, with the power of Azure OpenAI Service, we can cut down on development time and eliminate many manual processes.” Discover more details CUSTOMER DeepBrain AI PRODUCTS Azure AI Services Azure AI Speech Azure Operator Call Protection ORGANIZATION SIZE 50-999 employees COUNTRY United States BUSINESS NEED Artificial Intelligence INDUSTRY Other Professional Services Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.
Reported impact
Business outcome
It began in 2016 as a chatbot service, hoping to help organizations streamline and optimize operations across several business use cases, such as implementing chatbots in call centers. Azure OpenAI Service is a cloud-based AI platform that has helped DeepBrain AI push the boundaries of AI capabilities.
Customer Experience
Productivity Improvement
Solution
DeepBrain AI used Azure OpenAI Service, Azure Cognitive Services, Azure Kubernetes Service to modernize operations with Microsoft cloud and AI services. Founded in 2016 by Eric Seyoung Jang, DeepBrain AI has been on a mission to design AI that helps people be the most creative and meaningful versions of themselves. Based out of Palo Alto, California, DeepBrain AI supports customers around the globe with its groundbreaking AI solutions across several industries, including finance, commerce, retail, education, and media. Now, with the power of Azure AI solutions and Azure Kubernetes Service (AKS), DeepBrain AI can supercharge its offerings to bring its customers exciting new capabilities. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Azure Cognitive Services adds speech, vision, or language capabilities required by the experience; Azure Kubernetes Service runs containerized application services at...
Solution architecture
5 components · 2 layers
Compute
Azure OpenAI ServiceGenerates natural-language responses and task automation for the solution.
Azure Cognitive ServicesAdds speech, vision, or language capabilities required by the experience.
Azure Kubernetes ServiceRuns containerized application services at scale on Azure.
Microsoft AzureHosts the application, data, and integrations on scalable cloud infrastructure.
Orchestration
Microsoft Dynamics 365Provides the common business process layer that standardizes operations.
Architecture clues
Emphasizes secure enterprise access to data and AI capabilities.
Runs containerized workloads on Azure Kubernetes Service for scale and resiliency.
Evidence from the source
All of these solutions use the industry-leading capabilities of Azure OpenAI Service Azure Cognitive Services —giving customers access to AI solutions that will prove to be part of the next wave of innovative offerings.
Azure OpenAI Service is a cloud-based AI platform that has helped DeepBrain AI push the boundaries of AI capabilities.
Founded in 2016 by Eric Seyoung Jang, DeepBrain AI has been on a mission to design AI that helps people be the most creative and meaningful versions of themselves. Based out of Palo Alto, California, DeepBrain AI supports customers around the globe with its groundbreaking AI solutions across several industries, including finance, commerce, retail, education, and media. Now, with the power of Azure AI solutions and Azure Kubernetes Service (AKS), DeepBrain AI can supercharge its offerings to bring its customers exciting new capabilities.
It began in 2016 as a chatbot service, hoping to help organizations streamline and optimize operations across several business use cases, such as implementing chatbots in call centers. Azure OpenAI Service is a cloud-based AI platform that has helped DeepBrain AI push the boundaries of AI capabilities.
Now, with the power of Azure OpenAI Service, we can cut down on development time and eliminate many manual processes.” Discover more details CUSTOMER DeepBrain AI PRODUCTS Azure AI Services Azure AI Speech Azure Operator Call Protection ORGANIZATION SIZE 50-999 employees COUNTRY United States BUSINESS NEED Artificial Intelligence INDUSTRY Other Professional Services Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.
Review how this reference was scored and trace each normalized claim back to its documented source.
01
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value61/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth15/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity16/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence88%
Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability23/25
11 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
The page metadata and embedded organization schema report "85 employees" / "numberOfEmployees":{"@type":"QuantitativeValue","value":85}, which maps to SMB under the 0-249 rule.
Source type
Structured company profile
Supports
Company size
Date evidence
Published on source pageJul 12, 2023 · Microsoft · First-party
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