Algorithmia
Algorithmia was a Seattle-based MLOps platform founded in 2014 that automated machine learning model deployment for enterprises. Following acquisition by DataRobot, its capabilities are integrated into DataRobot's Enterprise AI Suite serving financial services, government, manufacturing, life sciences, and oil and gas clients.
- Company typePrivate
- Founded2014
- HeadquartersSeattle, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Algorithmia does
Algorithmia was a Seattle-based machine learning operations (MLOps) platform founded in 2014 that automated the deployment, scaling, and management of ML models for enterprise data science and engineering teams. The company's core technology centered on a unified Enterprise AI Platform designed to consolidate fragmented AI tooling into a single workflow spanning data scientists, ML engineers, AI developers, DevOps, and IT teams, with deployment flexibility across multi-cloud, virtual private cloud, and on-premise infrastructure. Its product surface, as now positioned within DataRobot's Enterprise AI Suite, spans Agentic AI, Generative AI, Predictive AI, AI Governance, AI Observability, and AI Foundation capabilities, alongside open-source offerings such as Covalent and syftr.
Go-to-market combined enterprise direct sales for large accounts, inside sales for mid-market engagement, self-serve free trial evaluation, and a partner/reseller network. Customer segmentation emphasized large enterprises across Financial Services, Government, Manufacturing, Life Sciences, and Oil and Gas verticals, with a primary value proposition of replacing complex, fragmented AI tech stacks with an integrated platform that the company stated could halve time-to-market for AI solutions.
Algorithmia raised approximately $38 million across three funding rounds (2014 seed, 2017 Series A, 2019 Series B) from investors including Madrona, Norwest, Gradient, OUP, Rakuten Capital, and Work-Bench. The company was subsequently acquired by DataRobot, and algorithmia.com now redirects to DataRobot's AI Platform product page; the entity no longer operates independently, and pricing is managed within DataRobot's broader commercial operations. Co-engineered technology partnerships with NVIDIA, Dell, SAP, and Nebius extended the platform's ecosystem footprint.
Algorithmia firmographics
Firmographics- Name
- Algorithmia
- Website
- https://algorithmia.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Acquired
- Headcount range
- 51–100 employees
- Short description
- Algorithmia was a Seattle-based MLOps platform founded in 2014 that automated machine learning model deployment for enterprises. Following acquisition by DataRobot, its capabilities are integrated into DataRobot's Enterprise AI Suite serving financial services, government, manufacturing, life sciences, and oil and gas clients.
- Ownership category
- akta.pro rank
Algorithmia industry classification
Industry- Product category
- MLOps Platform
- NAICS
- Computer Systems Design and Related Services (54151), Software Publishers (5132)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Model Deployment, Serving & Inference Platforms (HDAAABAF)
- akta.pro secondary industries
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where Algorithmia is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Markets served
Algorithmia business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Distribution channels4 records
Marketing channels7 records
Algorithmia product offering
Product offeringCore offering
Algorithmia provides a machine learning model deployment and management platform that automates MLOps for organizations. It enables ML engineers, data scientists, and developers to deploy, govern, and operationalize AI and machine learning models at scale across cloud, VPC, and on-premise infrastructure. The platform unifies fragmented AI tooling into standardized workflows for production AI delivery.
Product overview
DataRobot offers an Enterprise AI Suite with a unified AI Platform as the core product. The platform enables different team roles (ML engineers, AI developers, data engineers, data scientists, DevOps, IT) to develop, deliver, and govern AI solutions. The platform provides deployment flexibility with on-premise, virtual private cloud, and SaaS infrastructure options. The platform capabilities include Agentic AI, Generative AI, Predictive AI, AI Governance, and AI Observability, along with open source projects Covalent and syftr.
Differentiator
Problem solved
Functional benefit
Products and services
- AI Platform The core unified AI/MLOps platform that enables ML engineers, AI developers, data engineers, data scientists, and IT teams to develop, deliver, and govern AI solutions. It provides feature-rich tools tailored to different roles with streamlined workflows and flexible deployment options (on-premise, virtual private cloud, SaaS).
- Covalent Open source project from DataRobot available as part of the platform's open source offerings.
- syftr Open source project from DataRobot available as part of the platform's open source offerings.
Quantifiable outcome
- Deploy AI solutions to market in half the time compared to previous approaches
- +1 more outcomes
Companies that use Algorithmia
Customer profileSegments6 records
Ideal customer profiles3 records
Algorithmia technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability3 records
Feature7 records
Algorithmia partnerships and signals
Strategic signalRecent moves6 records
Expansion highlights5 records
Algorithmia competitors and assessment
Company assessmentDirect peers
- Iguazio: MLOps and AI platform focused on real-time, production-grade AI deployment across cloud and on-premise. Highly comparable to Algorithmia's multi-cloud/on-premise deployment positioning.
- Weights & Biases: Developer-focused MLOps platform for experiment tracking, model management, and deployment. Directly comparable to Algorithmia's pre-acquisition developer/ML-engineer positioning.
- Domino Data Lab: Enterprise MLOps platform with model development, deployment, and governance on a unified control plane. Closest head-to-head competitor in regulated industries for the Algorithmia-style integrated AI platform.
Broad incumbents
- DataRobot: Parent company and acquirer of Algorithmia; offers the Enterprise AI Suite that absorbed Algorithmia's MLOps/deployment capabilities. Directly comparable as the broader enterprise AI platform play that Algorithmia's technology now powers.
- Databricks: Unified data and AI platform with MLflow for MLOps and model serving; competes directly with Algorithmia's deployment and lifecycle capabilities while also offering data warehousing. Most significant direct competitor in enterprise MLOps.
- AWS SageMaker: Amazon's fully managed ML platform providing model training, deployment, and MLOps natively inside AWS. Represents the dominant bundled alternative that Algorithmia historically competed against.
- Azure Machine Learning: Microsoft's enterprise ML platform with MLOps, responsible AI, and model deployment tightly integrated with the Azure cloud stack. Competes for the same regulated enterprise workload as Algorithmia/DataRobot.
- Google Vertex AI: Google Cloud's unified ML platform offering training, deployment, feature store, and MLOps with strong foundation model integration. Key hyperscaler competitor for AI platform consolidation budgets.
Emerging players
- MLflow: Open-source MLOps platform originally from Databricks covering experiment tracking, model registry, and deployment. Represents the open-source commoditization pressure on Algorithmia's commercial deployment offering.
- Kubeflow: Open-source Kubernetes-native MLOps toolkit for deploying and managing ML workflows. Competes with Algorithmia's deployment layer in cloud-native enterprise environments.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks5 records
Key highlights7 records
Customer concentration
Algorithmia social profiles
Digital presenceAlgorithmia financial estimates
Financial estimateRevenue estimate
Valuation estimate
Algorithmia leadership team
Management profileNumber of profiles
Profiles2 records
Algorithmia funding detail
Funding detailFunding overview
Funding rounds3 records
Investors9 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Algorithmia 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 Algorithmia
What does Algorithmia do?
Algorithmia provides a machine learning model deployment and management platform that automates MLOps for organizations. It enables ML engineers, data scientists, and developers to deploy, govern, and operationalize AI and machine learning models at scale across cloud, VPC, and on-premise infrastructure. The platform unifies fragmented AI tooling into standardized workflows for production AI delivery.
Is Algorithmia a public or private company?
Algorithmia is a private company. It is classified as corporate owned and is currently acquired.
When was Algorithmia founded?
Algorithmia was founded in 2014. It employs 51 to 100 people.
Where is Algorithmia based?
Algorithmia is headquartered in Seattle, United States, in the North America region.
Who are Algorithmia's main competitors?
Direct peers on record are Iguazio, Weights & Biases and Domino Data Lab. Broad incumbents are DataRobot, Databricks, AWS SageMaker, Azure Machine Learning and Google Vertex AI. Emerging players are MLflow and Kubeflow.
Does Algorithmia have an API?
No public API is recorded for Algorithmia.
What industry is Algorithmia in?
Algorithmia's product category is MLOps Platform. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms, with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 54151 and its SIC code is 7373.