Determined 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.
- Company typePublic
- Founded2015
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
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
Where Determined AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- 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
- 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.
- 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.
- Professional and Advisory Services: AI consulting services, advisory and professional services, managed services, and education/training services supporting enterprise AI transformation and infrastructure deployment.
- 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
| Model | Billing | Price |
|---|---|---|
| Subscription | Pay-as-you-go | HPE GreenLake subscription with consumption-based billing |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels6 records
Determined AI product offering
Product offeringCore 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 profileSegments4 records
Ideal customer profiles1 record
Determined AI technology and API
TechnologyTechnology 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 signalPartnerships
One partnership is on record.
- NVIDIAcoreStrategic 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 assessmentBroad 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 presenceDetermined AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Determined AI leadership team
Management profileNumber of profiles
Profiles4 records
Determined AI funding detail
Funding detailFunding 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 investmentM&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 San Francisco, 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.