Flyte

Name

Flyte

Legal name

Flyte

Website

https://flyte.org

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

11–50 employees

Ownership category

akta.pro rank

NAICS

Computer Systems Design Services (541512), Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)

Keywords

• AI workflow orchestration
• ML pipeline orchestration
• Kubernetes workflow platform
• Data pipeline automation
• Open-source ML infrastructure

Headquarters

HQ city

Seattle

HQ country

United States

HQ region

North America

Markets served

Revenue model

1. Open Source Platform (Flyte OSS): The Flyte open-source platform is freely available under Apache License 2.0. Revenue is not generated directly from the OSS product but serves as the foundation for commercial adoption through Union.ai.
2. Union.ai Enterprise Platform: Union.ai provides the enterprise Flyte platform with managed services, including massive scale (50k+ actions/run), real-time inference, live remote debugging, warm-start containers, observability, and white-glove support from expert AI engineers. This is the commercial revenue-generating layer built on Flyte OSS.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels7 records

Core offering

Flyte is an open-source, Python-based workflow orchestration platform built on Kubernetes that enables AI/ML and data engineering teams to author, schedule, and operate dynamic, self-healing pipelines and agentic AI workflows at scale. It supports multi-language SDKs (Python, Java, Scala, JavaScript), integrates with cloud providers (AWS EKS, GCP, Azure) and ML frameworks (PyTorch, Ray, Spark, Snowflake, BigQuery). The commercial layer Union.ai offers an enterprise managed platform with massive scale (50k+ actions per run), real-time inference, and white-glove expert AI engineer support.

Product overview

Flyte is an open-source AI orchestration platform with a platform-plus-modules architecture. The core offering is Flyte 2 OSS, which provides pure Python workflow authoring with durable, self-healing capabilities. Flyte 2 OSS Devbox enables local full-backend testing, while the companion Flyte 2 UI provides reimagined visualization. Union.ai builds the enterprise platform on Flyte with massive scale (50k+ actions/run), real-time inference, and white-glove support. The Flyte Python SDK (v2.0) serves as the primary authoring interface, with additional multi-language SDKs (Java, Scala, JavaScript) for broader adoption. Flyte MCP Server enables Model Context Protocol integration for agent frameworks.

Differentiator

Problem solved

Functional benefit

Brands

• Flyte 2 OSS: Open-source version of Flyte 2 for building durable AI/ML pipelines and agents.
• Flyte Devbox

Quantifiable outcome

• Spotify cuts quarterly forecast time in half with Flyte
• +4 more outcomes

Named customers35 records

Segments3 records

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration45 records

AI capability9 records

Feature10 records

Partnerships

Nine partnerships are on record, tiered core.

• Union.aicoreStrategic or Co-development Partner · 19 February 2026Union.ai is the creator of Flyte and the commercial entity behind the enterprise Flyte platform. Union.ai builds and maintains Flyte as an open-source project while offering commercial services including massive scale (50k+ actions/run), real-time inference, live remote debugging, warm-start containers, observability, and dedicated expert AI engineer support. Union.ai completed a $38.1 million Series A funding round to power AI development infrastructure.
• Amazon Web Services (AWS)coreTechnology or Integration · 19 February 2026Deep integration between Flyte and Amazon EKS (Elastic Kubernetes Service) enables orchestration and deployment of AI/ML workflows on AWS infrastructure. The integration includes native connectivity to AWS services like S3 for storage, Aurora for databases, and IAM for authentication/authorization.
• Apache SparkcoreTechnology or IntegrationFlyte integrates with Apache Spark to run Spark jobs on ephemeral clusters, enabling large-scale data processing within Flyte workflows.
• Google BigQuerycoreTechnology or IntegrationFlyte provides native BigQuery integration for querying BigQuery tables directly within workflows.
• PyTorchcoreTechnology or IntegrationFlyte supports PyTorch Elastic for PyTorch-native multi-node distributed training with native Kubernetes integration.
• RaycoreTechnology or IntegrationFlyte connects to Ray clusters to perform distributed model training and hyperparameter tuning.
• SnowflakecoreTechnology or IntegrationFlyte integrates with Snowflake for querying Snowflake services directly within workflows.
• Weights & BiasescoreTechnology or IntegrationFlyte provides best-in-class ML/AI experiment and inference-time tracking through Weights & Biases integration.
• DatabrickscoreTechnology or IntegrationFlyte integrates with Databricks to schedule, monitor, and orchestrate Databricks jobs.

Scale indicators8 records

Recent moves5 records

Expansion highlights6 records

Direct peers

• Prefect: Prefect is a Python-first workflow orchestration platform with both open-source and commercial (Prefect Cloud) offerings. It competes with Flyte in the data/ML workflow orchestration space with a similar Python-native authoring experience and dynamic workflow capabilities.
• Apache Airflow: Apache Airflow is the most widely adopted open-source workflow orchestration platform, originally created at Airbnb. It overlaps with Flyte in the general workflow orchestration category, with many data teams choosing between Airflow and Flyte for ML/data pipeline management.
• Kubeflow: Kubeflow is a CNCF open-source Kubernetes-native ML platform that provides workflow orchestration, training, and serving for ML workloads. It is the most direct open-source competitor to Flyte, targeting the same Kubernetes-based ML orchestration use cases with overlapping contributor and user bases.
• Dagster: Dagster is a data and ML orchestration platform built around asset-centric workflows with strong observability. It overlaps with Flyte in ML pipeline orchestration and serves similar data engineering and ML engineering personas, though with a different architecture emphasis.
• Metaflow: Metaflow is an open-source Python framework originally developed at Netflix for building and managing data science and ML workflows at scale. It competes with Flyte in the ML workflow orchestration category with a focus on data scientist ergonomics, though with different deployment architecture.
• Argo Workflows: Argo Workflows is a CNCF graduated open-source Kubernetes-native workflow engine for orchestrating parallel jobs. It competes with Flyte in the general Kubernetes workflow orchestration category, with comparable DAG execution and container-native architecture, though without Flyte's AI/ML-specific extensions.
• Anyscale (Ray): Anyscale is the commercial entity behind Ray, a distributed compute framework widely used for ML training and serving. It competes with Flyte in the AI/ML infrastructure space, with overlapping integrations for distributed training and model serving, though Ray is more focused on compute primitives than workflow orchestration.

Emerging players

• Domino Data Lab: Domino Data Lab is an enterprise MLOps platform that provides orchestration, model training, and deployment for data science teams. It competes with Union.ai's enterprise Flyte offering in the production AI infrastructure category, serving similar Fortune 500 and regulated-industry customers.
• Temporal Technologies: Temporal is a durable execution platform that provides workflow orchestration with strong fault tolerance and state management. It overlaps with Flyte's self-healing, durable workflow capabilities, particularly for long-running agentic and business processes, though Temporal is more general-purpose and less ML-specific.

Broad incumbents

• Databricks: Databricks is a broad data and AI platform with MosaicML that includes MLflow, Workflows, and Lakehouse orchestration. It competes broadly with Flyte's enterprise AI orchestration offering, especially given its integration partnership, but operates at much larger scale across the full data lifecycle.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/flyteorg
• GitHubgithub.com/flyteorg/flyte
• LinkedInlinkedin.com/showcase/flyte-oss

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

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

M&A

Investments

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

Frequently asked questions about Flyte