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Determined AI

Full company profile

uuid0000wl7

Namestring
Determined AI
Legal namestring
Hewlett Packard Enterprise Development LP
Websiteurl
determined.ai
Company typeenum
Public
Founded yearint
2015
Descriptiontext

Determined AI is a privately held machine learning technology company founded in 2017 and headquartered in San Francisco, with 11-50 employees. The company develops software infrastructure that improves the training and deployment of deep learning models, targeting the operational pain points ML engineers and data scientists face around distributed training, resource utilization, hyperparameter management, and reproducibility. Its product is positioned as deep ML tooling rather than a horizontal AI application or a foundation model — the company's value proposition is rooted in making deep learning workloads faster, more efficient, and more manageable at the systems layer.

The company is led by co-founders Evan Sparks (CEO), Ameet Talwalkar (Chief Scientist), and Neil Conway (CTO), with a Director of Product Management (Vishnu Mohan) indicating a transition toward more structured commercial productization. Determined AI has raised approximately $13.6M in disclosed venture funding across two rounds — a 2017 seed/Series A of $2.6M led by Amplify Partners and The House Fund, followed by a March 2019 Series B of $11M led by Google Ventures with participation from CRV, Amplify Partners, Haystack, LG Electronics, SV Angel, and other investors.

The company's go-to-market model is not explicitly detailed in the available data, and no customer logos, pricing tiers, revenue figures, or distribution channels are disclosed. Given its stage and funding history, Determined AI appears to operate as an early-stage infrastructure software vendor serving ML engineering teams, with the product organization buildout consistent with a transition from research-led development toward commercial deployment. The broader competitive and ecosystem context in which the company operates is not fully captured in the input.

Short descriptiontext

Determined AI is a San Francisco-based privately held machine learning infrastructure software company (founded 2017, 11-50 employees) that builds tooling to streamline training and deployment of deep learning models for ML engineers and data scientists.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersHouston, United States
HQ citystring
Houston
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
deep learning platform, model training infrastructure, machine learning software, neural network training, hyperparameter tuning
Industry3 codes
1AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryYes
2AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs)
CodeHDAEANAJPrimaryNo
3Audit, Explainability & Accountability Tooling (traceability, reporting)
CodeHDAAAKALPrimaryNo
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Deep Learning Platform
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model4 records
1Hardware Sales (Compute, Storage, Networking)
TypeHardware Sales
Description

Enterprise hardware including ProLiant Compute servers, HPE Alletra Storage systems, HPE Aruba/Juniper Networking, and HPE Cray Supercomputing products sold as perpetual licenses or as part of integrated solutions.

hpe.com
2GreenLake as-a-Service / Managed Services
TypeManaged Services
Description

Recurring revenue from GreenLake cloud platform providing pay-per-use access to infrastructure, software, and AI capabilities. Customers pay based on consumption with flexible billing.

hpe.com
3Professional and Advisory Services
TypeProfessional Services
Description

AI consulting services, advisory and professional services, managed services, and education/training services supporting enterprise AI transformation and infrastructure deployment.

hpe.com
4Software Licensing
TypeLicensing Royalties
Description

Software products including HPE Morpheus Software, Aruba Networking Central, Apstra Data Center Director, and GreenLake intelligence capabilities licensed to enterprise customers.

hpe.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
Pricing details1 tier
1HPE GreenLake subscription with consumption-based billing
ModelSubscriptionBilling cadencePay-as-you-go
Notes

Pay-per-use model allowing enterprises to consume infrastructure and AI capabilities as needed without large upfront capital investment.

hpe.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 7 records shown
1GreenLake
Description

Cloud experience platform delivering unified platform experience for enterprises to simplify IT, reduce costs and transform faster

hpe.com
+6 more records
Core offering1 text field

Determined AI is a machine learning technology company that builds software for training and deploying deep learning models. The company focuses on simplifying the infrastructure and workflows required to train deep neural networks at scale, providing data science and ML engineering teams with tools for distributed training, hyperparameter optimization, and resource management. Its offering targets organizations seeking to accelerate deep model development without building bespoke training infrastructure.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 value
  • HPE has operationalized AI across 700+ enterprise AI initiatives internally
Product and service1 record
1Determined AI Deep Learning Platform
CategoryDeep Learning Platform
Description

Software platform for training and deploying deep learning models, providing data science and ML engineering teams with capabilities for distributed training, hyperparameter tuning, experiment tracking, and resource orchestration of deep neural network workloads.

Scale indicator2 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierCoreTypeTechnology or Integration
Description

Strategic co-development partnership delivering NVIDIA AI Computing by HPE — jointly developed AI solutions combining HPE infrastructure with NVIDIA AI computing technology. The partnership produces integrated AI factory solutions, NVIDIA GPU-accelerated systems, and enterprise AI platforms optimized for performance and scale.

Recent move4 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight3 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Google Vertex AI is Google Cloud's unified ML platform offering training, tuning, and MLOps tooling. It is a broad incumbent alternative to Determined AI, particularly strong with AutoML and foundation model training.

TypeEmerging player
Description

Kubeflow is an open-source Kubernetes-native ML toolkit that handles training pipelines, hyperparameter tuning, and serving. It is an emerging open-source competitor that Determined AI must differentiate against on enterprise-grade polish.

TypeBroad incumbent
Description

DataRobot provides an enterprise AI platform spanning AutoML, model deployment, and governance. It targets the same regulated enterprise buyers as Determined AI, with broader but less developer-centric tooling.

TypeDirect peer
Description

Neptune.ai offers an MLOps metadata store for experiment tracking, model registry, and collaboration. It directly competes with Determined AI on ML training workflow tooling for enterprise data science teams.

5Azure Machine Learning
TypeBroad incumbent
Description

Azure Machine Learning is Microsoft's enterprise ML platform providing training, MLOps, and responsible AI tooling. It competes with Determined AI for enterprise ML training workloads and is tightly integrated with the broader Azure ecosystem.

TypeDirect peer
Description

Domino Data Lab delivers an enterprise MLOps platform with centralized compute orchestration, model training, and governance. It targets the same enterprise buyers as Determined AI and competes for production-scale training workloads.

TypeDirect peer
Description

Weights & Biases provides experiment tracking, hyperparameter tuning, and model management for ML teams. It is the closest direct competitor to Determined AI's open-core ML training platform, serving the same developer persona with overlapping capabilities.

TypeDirect peer
Description

MLflow is the leading open-source ML lifecycle platform, now stewarded by Databricks. It overlaps heavily with Determined AI on experiment tracking, model packaging, and reproducibility, and is a primary free alternative.

TypeBroad incumbent
Description

Amazon SageMaker is AWS's fully managed ML platform covering training, tuning, and deployment. It is a broad incumbent that bundles hyperparameter tuning and distributed training, competing with Determined AI for enterprise training workloads.

TypeEmerging player
Description

Anyscale commercializes the Ray distributed computing framework for scalable AI and Python workloads. It competes with Determined AI on distributed training infrastructure, particularly for foundation model and reinforcement learning workloads.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Key highlights5 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles4 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors12 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Determined AI

Deep Learning Platformdetermined.ai

Determined AI is a San Francisco-based privately held machine learning infrastructure software company (founded 2017, 11-50 employees) that builds tooling to streamline training and deployment of deep learning models for ML engineers and data scientists.

What Determined AI does

Determined AI is a privately held machine learning technology company founded in 2017 and headquartered in San Francisco, with 11-50 employees. The company develops software infrastructure that improves the training and deployment of deep learning models, targeting the operational pain points ML engineers and data scientists face around distributed training, resource utilization, hyperparameter management, and reproducibility. Its product is positioned as deep ML tooling rather than a horizontal AI application or a foundation model — the company's value proposition is rooted in making deep learning workloads faster, more efficient, and more manageable at the systems layer.

The company is led by co-founders Evan Sparks (CEO), Ameet Talwalkar (Chief Scientist), and Neil Conway (CTO), with a Director of Product Management (Vishnu Mohan) indicating a transition toward more structured commercial productization. Determined AI has raised approximately $13.6M in disclosed venture funding across two rounds — a 2017 seed/Series A of $2.6M led by Amplify Partners and The House Fund, followed by a March 2019 Series B of $11M led by Google Ventures with participation from CRV, Amplify Partners, Haystack, LG Electronics, SV Angel, and other investors.

The company's go-to-market model is not explicitly detailed in the available data, and no customer logos, pricing tiers, revenue figures, or distribution channels are disclosed. Given its stage and funding history, Determined AI appears to operate as an early-stage infrastructure software vendor serving ML engineering teams, with the product organization buildout consistent with a transition from research-led development toward commercial deployment. The broader competitive and ecosystem context in which the company operates is not fully captured in the input.

Determined AI firmographics

Firmographics
Name
Determined AI
Legal name
Hewlett Packard Enterprise Development LP
Website
https://determined.ai
Company type
Public
Founded year
2015
Operating status
Operating
Headcount range
11–50 employees
Short description
Determined AI is a San Francisco-based privately held machine learning infrastructure software company (founded 2017, 11-50 employees) that builds tooling to streamline training and deployment of deep learning models for ML engineers and data scientists.
Ownership category
akta.pro rank

Determined AI industry classification

Industry
Product category
Deep Learning Platform
SIC
Services-Prepackaged Software (7372)
akta.pro primary industry
AI/ML Engineering & Model Development Services (BPAEAHAF)
akta.pro secondary industries
AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)

Keywords

  • Deep learning platform
  • Model training infrastructure
  • Machine learning software
  • Neural network training
  • Hyperparameter tuning

Where Determined AI is headquartered

Location

Headquarters

HQ city
Houston
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Determined AI business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

  1. Hardware Sales (Compute, Storage, Networking): Enterprise hardware including ProLiant Compute servers, HPE Alletra Storage systems, HPE Aruba/Juniper Networking, and HPE Cray Supercomputing products sold as perpetual licenses or as part of integrated solutions.
  2. GreenLake as-a-Service / Managed Services: Recurring revenue from GreenLake cloud platform providing pay-per-use access to infrastructure, software, and AI capabilities. Customers pay based on consumption with flexible billing.
  3. Professional and Advisory Services: AI consulting services, advisory and professional services, managed services, and education/training services supporting enterprise AI transformation and infrastructure deployment.
  4. Software Licensing: Software products including HPE Morpheus Software, Aruba Networking Central, Apstra Data Center Director, and GreenLake intelligence capabilities licensed to enterprise customers.

Pricing tiers

ModelBillingPrice
SubscriptionPay-as-you-goHPE GreenLake subscription with consumption-based billing

Go-to-market motion3 records

Distribution channels4 records

Marketing channels6 records

Determined AI product offering

Product offering

Core offering

Determined AI is a machine learning technology company that builds software for training and deploying deep learning models. The company focuses on simplifying the infrastructure and workflows required to train deep neural networks at scale, providing data science and ML engineering teams with tools for distributed training, hyperparameter optimization, and resource management. Its offering targets organizations seeking to accelerate deep model development without building bespoke training infrastructure.

Differentiator

Problem solved

Functional benefit

Brands

  • GreenLake: Cloud experience platform delivering unified platform experience for enterprises to simplify IT, reduce costs and transform faster
  • HPE Aruba Networking
  • HPE Cray
  • HPE ProLiant
  • HPE Alletra
  • Marvis AI
  • Mist AI

Products and services

  • Determined AI Deep Learning Platform Software platform for training and deploying deep learning models, providing data science and ML engineering teams with capabilities for distributed training, hyperparameter tuning, experiment tracking, and resource orchestration of deep neural network workloads.

Quantifiable outcome

  • HPE has operationalized AI across 700+ enterprise AI initiatives internally

Companies that use Determined AI

Customer profile

Segments4 records

Ideal customer profiles1 record

Determined AI technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Feature8 records

Determined AI partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • NVIDIAcoreTechnology or IntegrationStrategic co-development partnership delivering NVIDIA AI Computing by HPE — jointly developed AI solutions combining HPE infrastructure with NVIDIA AI computing technology. The partnership produces integrated AI factory solutions, NVIDIA GPU-accelerated systems, and enterprise AI platforms optimized for performance and scale.

Scale indicators2 records

Recent moves4 records

Expansion highlights3 records

Determined AI competitors and assessment

Company assessment

Broad incumbents

  • Google Vertex AI: Google Vertex AI is Google Cloud's unified ML platform offering training, tuning, and MLOps tooling. It is a broad incumbent alternative to Determined AI, particularly strong with AutoML and foundation model training.
  • DataRobot: DataRobot provides an enterprise AI platform spanning AutoML, model deployment, and governance. It targets the same regulated enterprise buyers as Determined AI, with broader but less developer-centric tooling.
  • Azure Machine Learning: Azure Machine Learning is Microsoft's enterprise ML platform providing training, MLOps, and responsible AI tooling. It competes with Determined AI for enterprise ML training workloads and is tightly integrated with the broader Azure ecosystem.
  • Amazon SageMaker: Amazon SageMaker is AWS's fully managed ML platform covering training, tuning, and deployment. It is a broad incumbent that bundles hyperparameter tuning and distributed training, competing with Determined AI for enterprise training workloads.

Emerging players

  • Kubeflow: Kubeflow is an open-source Kubernetes-native ML toolkit that handles training pipelines, hyperparameter tuning, and serving. It is an emerging open-source competitor that Determined AI must differentiate against on enterprise-grade polish.
  • Anyscale (Ray): Anyscale commercializes the Ray distributed computing framework for scalable AI and Python workloads. It competes with Determined AI on distributed training infrastructure, particularly for foundation model and reinforcement learning workloads.

Direct peers

  • Neptune.ai: Neptune.ai offers an MLOps metadata store for experiment tracking, model registry, and collaboration. It directly competes with Determined AI on ML training workflow tooling for enterprise data science teams.
  • Domino Data Lab: Domino Data Lab delivers an enterprise MLOps platform with centralized compute orchestration, model training, and governance. It targets the same enterprise buyers as Determined AI and competes for production-scale training workloads.
  • Weights & Biases: Weights & Biases provides experiment tracking, hyperparameter tuning, and model management for ML teams. It is the closest direct competitor to Determined AI's open-core ML training platform, serving the same developer persona with overlapping capabilities.
  • MLflow (Databricks): MLflow is the leading open-source ML lifecycle platform, now stewarded by Databricks. It overlaps heavily with Determined AI on experiment tracking, model packaging, and reproducibility, and is a primary free alternative.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key highlights5 records

Customer concentration

Determined AI social profiles

Digital presence

Determined AI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Determined AI leadership team

Management profile

Number of profiles

Profiles4 records

Determined AI funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors12 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Determined AI M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Determined AI

What does Determined AI do?

Determined AI is a machine learning technology company that builds software for training and deploying deep learning models. The company focuses on simplifying the infrastructure and workflows required to train deep neural networks at scale, providing data science and ML engineering teams with tools for distributed training, hyperparameter optimization, and resource management. Its offering targets organizations seeking to accelerate deep model development without building bespoke training infrastructure.

Is Determined AI a public or private company?

Determined AI is a public company. It is classified as venture growth investor backed and is currently operating.

When was Determined AI founded?

Determined AI was founded in 2015. It employs 11 to 50 people.

Where is Determined AI based?

Determined AI is headquartered in Houston, United States, in the North America region.

How does Determined AI make money?

Four revenue lines are on record. Hardware Sales (Compute, Storage, Networking) is the primary driver. The others are greenLake as-a-Service / Managed Services, professional and Advisory Services and software Licensing.

Who are Determined AI's main competitors?

Broad incumbents on record are Google Vertex AI, DataRobot, Azure Machine Learning and Amazon SageMaker. Emerging players are Kubeflow and Anyscale (Ray). Direct peers are Neptune.ai, Domino Data Lab, Weights & Biases and MLflow (Databricks).

Does Determined AI have an API?

No public API is recorded for Determined AI.

What industry is Determined AI in?

Determined AI's product category is Deep Learning Platform. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its SIC code is 7372.

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Live signals
Pulse 2.0Deep Learning Company Determined AI Secures $11 MillionDetermined AI raised $11 million in funding led by GV, with participation from Amplify Partners, CRV, and others. The company will use the funds to expand its market footprint, hire engineers, and launch new features for its deep learning model development tool. The round brings total funding to over $13 million.FinSMEsDetermined AI Raises $11M in Series A FundingDetermined AI raised $11M in Series A funding led by GV, bringing total funding to $13.6M. The San Francisco startup will use the funds to hire developers and expand its machine learning management platform. The company has 16 employees.TechCrunchDetermined AI nabs $11M Series A to democratize AI developmentDetermined AI emerged from stealth with $11 million in Series A funding led by GV, bringing total funding to $13.6 million. The startup's software automates GPU resource management and workflow, aiming to speed up AI development for Fortune 500 and Global 2000 companies.SiliconANGLEDetermined AI launches with $11M funding to simplify deep learning projects - SiliconANGLEDetermined AI exited stealth with $11M in funding led by Alphabet's GV, backed by CRV, SV Angel, and Amplify Partners. The startup's platform simplifies deep learning infrastructure, offering cluster management and hyperparameter tuning up to 50 times faster than general-purpose tools. Early customers have run it in production for over a year.