Flyte
- Company typePrivate
- Founded2020
- HeadquartersSeattle, United States
- Headcount11–50
- GTM type—
- Offering—
Flyte firmographics
Firmographics- 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
Flyte industry classification
Industry- 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
Where Flyte is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Markets served
Flyte business model
Business modelRevenue model
- 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.
- 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
Flyte product offering
Product offeringCore 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
Companies that use Flyte
Customer profileNamed customers35 records
Segments3 records
Flyte technology and API
TechnologyAPI detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration45 records
AI capability9 records
Feature10 records
Flyte partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core.
- Union.aicoreUnion.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)coreDeep 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 SparkcoreFlyte integrates with Apache Spark to run Spark jobs on ephemeral clusters, enabling large-scale data processing within Flyte workflows.
- Google BigQuerycoreFlyte provides native BigQuery integration for querying BigQuery tables directly within workflows.
- PyTorchcoreFlyte supports PyTorch Elastic for PyTorch-native multi-node distributed training with native Kubernetes integration.
- RaycoreFlyte connects to Ray clusters to perform distributed model training and hyperparameter tuning.
- SnowflakecoreFlyte integrates with Snowflake for querying Snowflake services directly within workflows.
- Weights & BiasescoreFlyte provides best-in-class ML/AI experiment and inference-time tracking through Weights & Biases integration.
- DatabrickscoreFlyte integrates with Databricks to schedule, monitor, and orchestrate Databricks jobs.
Scale indicators8 records
Recent moves5 records
Expansion highlights6 records
Flyte competitors and assessment
Company assessmentDirect 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
Flyte social profiles
Digital presenceFlyte financial estimates
Financial estimateRevenue estimate
Valuation estimate
Flyte leadership team
Management profileNumber of profiles
Flyte funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Flyte 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 Flyte
What does Flyte do?
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.
Is Flyte a public or private company?
Flyte is a private company. It is currently operating.
When was Flyte founded?
Flyte was founded in 2020. It employs 11 to 50 people.
Where is Flyte based?
Flyte is headquartered in Seattle, United States, in the North America region.
How does Flyte make money?
Two revenue lines are on record. Open Source Platform (Flyte OSS) is the primary driver. The others are union.ai Enterprise Platform.
Who are Flyte's main competitors?
Direct peers on record are Prefect, Apache Airflow, Kubeflow, Dagster, Metaflow, Argo Workflows and Anyscale (Ray). Emerging players are Domino Data Lab and Temporal Technologies. Databricks is listed as a broad incumbent.
Does Flyte have an API?
Yes. Flyte SDK provides a comprehensive Python API for authoring and orchestrating AI/ML workflows. The SDK includes flyte.remote for remote execution, flyte.models for action/run/task models, flyte.storage for data storage configuration (S3, GCS, ABFS), and flyte.notify for notification integrations (Email, Slack, Teams, Webhook). The API is public and available to all users through the Python SDK, with documentation at docs.flyte.org. MCP (Model Context Protocol) server integration is available via flyte.ai.mcp.FlyteMCPAppEnvironment for serving Flyte-facing MCP servers. Developer documentation is at docs.flyte.org/en/latest/api/flytekit/docs_index.html.
What industry is Flyte in?
Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAAACAF, Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent). Its NAICS code is 541512 and its SIC code is 7373.