BigML
BigML is a Machine Learning as a Service platform founded in 2011 offering interpretable, exportable ML models via web, API, and CLI for SMBs, developers, educators, and enterprises globally.
- Company typePrivate
- Founded2011
- HeadquartersCorvallis, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What BigML does
BigML, Inc. is a privately held Machine Learning as a Service (MLaaS) platform founded in 2011 in Corvallis, Oregon. The company offers a unified cloud-based ML platform that supports the full workflow — data ingestion, dataset preparation, model training, prediction, and deployment — accessible through a web dashboard, a REST API (BigML.io), Python bindings, the open-source BigMLer CLI (Apache 2.0), and the WhizzML domain-specific scripting language. Core technical capabilities include decision trees, ensembles (random decision forests, bagging, boosted trees), deep learning via Deepnets, image processing and object detection, anomaly detection, time series forecasting, topic modeling, and the OptiML automated model selection feature. The platform emphasizes interpretability and exportability of all models, positioning around "ML made simple."
The company operates a product-led growth model with a free tier, usage-based credit pricing, and optional subscription tiers and private deployments for enterprise needs. It serves a horizontal base of SMBs and individual practitioners, academic institutions via ML Schools and certifications, and a long tail of registered users that exceeded 100,000 in 2019. Named enterprise adoption is limited (Idealista is the most visible), and integrations with Zapier, Google Sheets, Alexa, and Node-RED extend distribution to non-technical audiences. The leadership team is anchored by co-founder/CEO Francisco J. Martín (prior founder of iSOCO and Strands) and Chief Scientist Tom Dietterich (former AAAI President, Oregon State University).
BigML firmographics
Firmographics- Name
- BigML
- Legal name
- BigML, Inc.
- Website
- https://bigml.com
- Company type
- Private
- Founded year
- 2011
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- BigML is a Machine Learning as a Service platform founded in 2011 offering interpretable, exportable ML models via web, API, and CLI for SMBs, developers, educators, and enterprises globally.
- Ownership category
- akta.pro rank
BigML industry classification
Industry- Product category
- Machine Learning Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (5415), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- End-to-End MLOps & ML Platform Suites (HDAAABAA)
- akta.pro secondary industries
- AutoML & Low-Code ML Platform Operations (HDAAABAL), Pipeline Orchestration & Workflow Automation (HDAAABAD), Experiment Tracking, Metadata & Model Registry (HDAAABAC), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)
Keywords
Where BigML is headquartered
LocationHeadquarters
- HQ city
- Corvallis
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
BigML business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Usage-based Credits: Pay-per-use model where users purchase credits to create datasets, build models, and generate predictions. No licensing fees or monthly subscriptions required. Costs are proportional to data size and computational requirements.
- Free Tier: Free access to all BigML functionality for small datasets or educational purposes. Tasks may be queued during high workload periods. Serves as lead generation for paid usage.
- Subscriptions: Paid subscription tiers likely available for higher usage volumes, dedicated resources, and additional features. Website pricing page indicates subscription options alongside usage-based billing.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free tier for small datasets and education |
| Usage-based | Pay-as-you-go | Usage-based credit system |
| Subscription | Monthly | Subscription tiers for higher usage |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels7 records
BigML product offering
Product offeringCore offering
BigML provides a cloud-based Machine Learning as a Service (MLaaS) platform that supports the end-to-end ML lifecycle — data ingestion, supervised and unsupervised modeling (decision trees, ensembles, deepnets, logistic regression), automated model selection via OptiML, anomaly detection, time series forecasting, topic modeling, and computer vision (image classification and object detection). The platform is exposed through a web dashboard, a REST API (BigML.io), Python bindings, the BigMLer command-line tool, and WhizzML scripting, with options for private/on-premise deployments.
Product overview
BigML is a unified Machine Learning as a Service (MLaaS) platform that provides a comprehensive ecosystem of ML tools accessible via web interface, REST API, and command-line tools. The core platform offers automated ML workflows while specialized modules extend capabilities including OptiML for automated model selection, BigML Ops for production deployment management, WhizzML for workflow automation scripting, and Deepnets for computer vision. Integrations with Node-RED, Zapier, Alexa, and Google Sheets extend accessibility, while Private Deployments address enterprise on-premise requirements.
Differentiator
Problem solved
Functional benefit
Brands
- BigML: Machine Learning platform for businesses
- BigML.com
- BigMLer
- WhizzML
- BigML Ops
- OptiML
- BigML.io
Products and services
- BigML Platform Unified cloud-based machine learning platform providing end-to-end ML workflows — data preparation, model creation, evaluation, prediction, and deployment — accessible via web interface, REST API, and command line.
Quantifiable outcome
- 100,000 registered customers milestone achieved
- +1 more outcomes
Companies that use BigML
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles3 records
BigML technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability8 records
Feature9 records
BigML partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core and minor.
- TelefónicacoreBigML collaborated with Telefónica on intellectual property initiatives and innovation management. Dr. Francisco J. Martín (BigML CEO) and Telefónica representatives co-presented at IP workshops in Spain (Madrid, Barcelona, Valencia) in October 2017.
- Oregon State UniversityminorBigML was founded in Corvallis, OR with partnerships with OSU computer science experts. Co-founder Dr. Francisco J. Martín completed postdoc research in Machine Learning at Oregon State University.
- ValenciaLABminorValenciaLAB partnered with BigML for hosting IP protection workshops in Valencia, Spain as part of the broader innovation ecosystem collaboration.
- Schwabe Williamson & WyattminorLaw firm participated as speaker at BigML-organized IP protection workshop, providing legal expertise on patent strategy.
- FisherBroylesminorLaw firm participated as speaker at BigML-organized IP protection workshop, providing legal expertise on patent strategy.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
BigML competitors and assessment
Company assessmentDirect peers
- DataRobot: DataRobot is a leading AutoML platform that automates model building, deployment, and monitoring for enterprise customers. It competes directly with BigML in democratizing ML access through automated workflows and is one of the most well-funded players in the category.
- H2O.ai: H2O.ai provides an open-source ML platform with AutoML capabilities, Driverless AI, and enterprise deployment options. It is a direct competitor to BigML in offering automated, accessible ML tooling across classification, regression, time series, and computer vision.
- Dataiku: Dataiku offers a collaborative data science and ML platform serving both expert data scientists and business analysts with no-code/low-code capabilities. It directly overlaps with BigML's horizontal, accessibility-focused positioning.
- RapidMiner: RapidMiner is an end-to-end ML platform offering data prep, AutoML, and model deployment with a visual interface. It targets the same no-code/low-code business user segment that BigML serves.
- Obviously AI: Obviously AI is a no-code ML platform that lets non-experts build predictive models from spreadsheet data in minutes. It is a direct competitor to BigML in democratizing ML for business users without data science expertise.
Broad incumbents
- Google Vertex AI / Google AutoML: Google's Vertex AI and AutoML offerings provide end-to-end ML platform capabilities including AutoML, custom training, and MLOps, embedded in the Google Cloud ecosystem. As a hyperscaler offering, it competes broadly with BigML across most ML use cases.
- Amazon SageMaker: Amazon SageMaker is AWS's comprehensive ML platform offering data prep, training, AutoML, and deployment. It is a broad incumbent that competes with BigML in AutoML and end-to-end ML workflows, particularly for AWS-native customers.
- Azure Machine Learning: Microsoft Azure Machine Learning provides automated ML, MLOps, and a comprehensive ML studio for enterprises. It competes broadly with BigML across AutoML, deployment, and enterprise use cases within the Azure ecosystem.
Emerging players
- Peltarion: Peltarion (now part of Veridise) was an operational AI platform focused on making deep learning accessible for enterprises. It shares BigML's mission of democratizing ML and overlaps in deep learning and AutoML capabilities.
- dotData: dotData provides an AutoML platform focused on feature engineering and end-to-end automation of ML pipelines. It is an emerging player with overlapping AutoML capabilities targeting enterprise customers similar to BigML.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights6 records
Customer concentration
BigML social profiles
Digital presenceBigML financial estimates
Financial estimateRevenue estimate
Valuation estimate
BigML leadership team
Management profileNumber of profiles
Profiles8 records
BigML funding detail
Funding detailFunding overview
Funding rounds6 records
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
BigML 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 BigML
What does BigML do?
BigML provides a cloud-based Machine Learning as a Service (MLaaS) platform that supports the end-to-end ML lifecycle — data ingestion, supervised and unsupervised modeling (decision trees, ensembles, deepnets, logistic regression), automated model selection via OptiML, anomaly detection, time series forecasting, topic modeling, and computer vision (image classification and object detection). The platform is exposed through a web dashboard, a REST API (BigML.io), Python bindings, the BigMLer command-line tool, and WhizzML scripting, with options for private/on-premise deployments.
Is BigML a public or private company?
BigML is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was BigML founded?
BigML was founded in 2011. It employs 11 to 50 people.
Where is BigML based?
BigML is headquartered in Corvallis, United States, in the North America region.
How does BigML make money?
Three revenue lines are on record. Usage-based Credits are the primary driver. The others are free Tier and subscriptions.
Who are BigML's main competitors?
Direct peers on record are DataRobot, H2O.ai, Dataiku, RapidMiner and Obviously AI. Broad incumbents are Google Vertex AI / Google AutoML, Amazon SageMaker and Azure Machine Learning. Emerging players are Peltarion and dotData.
Does BigML have an API?
Yes. BigML.io is a REST-style API that allows users to programmatically access BigML's machine learning platform. The API enables developers to create sources, datasets, models, ensembles, predictions, and evaluations. Python bindings are available (github.com/bigmlcom/python). BigMLer is a command-line tool that wraps BigML's API Python bindings for easier automation. Developer documentation is at bigml.com/developers.
What industry is BigML in?
BigML's product category is Machine Learning Platform. Its primary akta.pro industry code is HDAAABAA, End-to-End MLOps & ML Platform Suites, with a secondary code of HDAAABAL, AutoML & Low-Code ML Platform Operations. Its NAICS code is 51821 and its SIC code is 7372.