Flower Labs
Flower Labs provides an open-source federated learning framework and enterprise platform that enables organizations to train AI models on distributed data without centralizing sensitive information, serving healthcare, finance, automotive, and public sector clients globally.
- Company typePrivate
- Founded2020
- HeadquartersHamburg, Germany
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Flower Labs does
Flower Labs is a private AI infrastructure company founded in 2020 with headquarters in London and a German operating entity (Flower Labs GmbH). It develops an open-source federated learning framework that enables organizations to train and evaluate AI models on distributed data sources without centralizing sensitive information, directly addressing data privacy and sovereignty requirements under GDPR, HIPAA, and emerging EU AI Act provisions. The platform supports federated learning, federated evaluation, federated analytics, and differential privacy across industries including healthcare and life sciences, finance and banking, automotive, IoT and edge computing, and government and public sector. Named deployments include JPMorgan AI Research, Banking Circle, AstraZeneca, Mozilla, Sony AI, NHS trusts (Guy's and St Thomas', King's College London), and PharosAI.
The product portfolio is anchored by the open-source Flower Framework, which integrates with PyTorch, TensorFlow, JAX, scikit-learn, XGBoost, Hugging Face, Apple MLX, fastai, and Pandas, plus mobile deployment via TensorFlow Lite (Android) and Core ML (iOS). Enterprise-tier products include Flower Enterprise (ISO/IEC 27001 certified with OIDC/RBAC and 24/7 support), Flower SuperGrid (managed SuperLink/SuperNode orchestration), Flower Hub (app marketplace with 128 community apps, App Verification, and FAB format 1.0), Lizzy 7B (UK-built open frontier sovereign LLM), Flower Intelligence (on-device AI SDK), FlowerTune (federated LLM fine-tuning with leaderboard), and forthcoming Flower Agent. The company also publishes original AI research including the Photon federated pre-training method, DEPT decoupled embeddings, FedRAG, Helmsman agent framework, and quantum federated learning work with PennyLane.
Flower Labs employs a community-led go-to-market strategy. The open-source core drives product-led adoption (6,900+ GitHub stars, 7,000+ AI developers, 180+ contributors, 2,500+ ecosystem projects), while revenue is generated through three streams: subscription-based Flower Enterprise with quote-based annual pricing, forward-deployed engineering services for enterprise pilots, and a free open-source tier. Strategic distribution channels include the DeepLearning.AI educational partnership (courses with Andrew Ng), NVIDIA FLARE integration, and Red Hat OpenShift deployment support. The company has raised $23.6M total ($3.6M pre-seed in 2023 and $20M Series A in February 2024 led by Felicis, with participation from Y Combinator, Mozilla Ventures, Betaworks, Factorial Capital, Pioneer Fund, and First Spark Ventures). Customer acquisition combines product-led growth with direct enterprise field sales and the Flower Pilot Program for collaborative engagements with the forward-deployed engineering team.
Flower Labs firmographics
Firmographics- Name
- Flower Labs
- Legal name
- Flower Labs GmbH
- Website
- https://flower.ai
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Flower Labs provides an open-source federated learning framework and enterprise platform that enables organizations to train AI models on distributed data without centralizing sensitive information, serving healthcare, finance, automotive, and public sector clients globally.
- Ownership category
- akta.pro rank
Flower Labs industry classification
Industry- Product category
- Federated Learning Platform
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Model Deployment, Serving & Inference Platforms (HDAAABAF)
- akta.pro secondary industries
- Foundation Model Developers (LLM/Multimodal Model Labs) (HDAAACAA), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Flower Labs is headquartered
LocationHeadquarters
- HQ city
- Hamburg
- HQ country
- Germany
- HQ region
- Europe
Offices1 record
Markets served
Flower Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure
Revenue model
- Flower Enterprise: Enterprise-grade version of the Flower framework with security, scalability, management, and deployment tooling for large-scale organizations. Includes ISO 27001 certification, OIDC authentication, RBAC, audit logging, and 24/7 support.
- Forward Deployed Engineering Services: Direct engineering support for enterprise customers to accelerate federated AI projects, including implementation assistance and custom development.
- Open Source Framework: Core Flower framework is open source with community support. Enterprise features and support subscriptions drive revenue while maintaining community goodwill.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Flower Enterprise - Enterprise-grade federated AI platform |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels11 records
Flower Labs product offering
Product offeringCore offering
Flower Labs provides an open-source federated learning framework and enterprise platform that enables collaborative AI training across distributed data sources without centralizing sensitive information. The offering spans the Flower Framework (core FL infrastructure supporting any ML framework including PyTorch, TensorFlow, JAX, XGBoost), Flower Hub (app marketplace with verification), Flower SuperGrid and Flower Enterprise (production-grade deployment with ISO 27001, OIDC/RBAC), and the Lizzy 7B sovereign LLM. Forward-deployed engineering services accompany the platform for enterprise customers.
Product overview
Flower Labs offers a unified federated AI platform with interconnected products: the open-source Flower Framework (core federated learning infrastructure), Flower Hub (app marketplace with FAB format and verification), Flower SuperGrid/Enterprise (production-grade deployment with ISO 27001 certification), Lizzy 7B (UK-built sovereign LLM), Flower Intelligence (on-device AI with cloud scale), and FlowerTune (LLM fine-tuning with benchmarking). The platform supports federating any ML workload including PyTorch, TensorFlow, JAX, XGBoost, and Hugging Face models across distributed healthcare, finance, automotive, and IoT deployments.
Differentiator
Problem solved
Functional benefit
Brands
- Flower Hub: A hub for collaborative AI enabling discovery, distribution, execution, and decentralized verification of federated AI apps across heterogeneous environments.
- Flower Model
- Flower SuperGrid
- FlowerTune
- Flower Intelligence
- Flower Agent
Products and services
- Flower Framework The core open-source federated learning framework that enables collaborative AI across distributed data sources. Flower provides infrastructure to move ML models between clients and servers, coordinate local training, and aggregate updated models without centralizing sensitive data. Supports any ML framework including PyTorch, TensorFlow, JAX, scikit-learn, XGBoost, Hugging Face, and MLX.
- Flower Hub An app hub for collaborative AI enabling discovery, distribution, execution, and decentralized verification of federated AI apps across heterogeneous environments. Features App Verification using reviewer signatures and standardized FAB format for ecosystem compatibility. Hosts 128+ community-contributed apps.
- Flower SuperGrid The industry-standard platform for scalable and production-grade federated AI deployment. Includes managed SuperLink, SuperNode, and enterprise orchestration capabilities with enterprise-grade security, scale, and support.
- Flower Enterprise Enterprise-grade federated AI platform delivering security, scalability, management, and deployment tooling for large-scale organizations. Includes ISO 27001 certification, OIDC authentication, RBAC, structured audit logs, and 24/7 support.
- Lizzy 7B A UK-built open frontier 7B parameter LLM designed for sovereign AI deployment with state-of-the-art performance among European sovereign models and British-specific benchmark strengths. Available via HuggingFace in BF16 and quantized GGUF formats for flexible deployment across diverse GPU infrastructure.
- Flower Intelligence On-device AI platform providing privacy and speed with cloud-based AI scale and simplicity. Enables local-first AI applications with confidential remote compute for mobile and edge deployments.
Quantifiable outcome
- 250,000+ patient records federated across 60 GP practices in Germany with AstraZeneca
- +3 more outcomes
Companies that use Flower Labs
Customer profileNamed customers11 records
Segments6 records
Ideal customer profiles4 records
Flower Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration20 records
AI capability17 records
Feature9 records
Flower Labs partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered core and minor.
- deepccoreDevelopment of FLIP (open-source federated learning platform) in collaboration with King's College London and OneLondon for healthcare AI innovation.
- King's College LondoncoreAI Centre for Value-Based Healthcare and Guy's and St Thomas' NHS Foundation Trust launched FLIP platform enabling large-scale healthcare AI development while keeping patient data secure under local institutional control.
- OneLondoncoreCollaboration partner in FLIP platform development for healthcare AI innovation across NHS trusts in London.
- StarcloudminorFlower Labs and Starcloud reached a major AI milestone by running a decentralized AI workload on an operational satellite.
- Red HatcoreCollaboration to advance scalable federated AI on scientific computing platforms. Flower integrates with Red Hat OpenShift for enterprise deployment.
- NVIDIAcoreIntegration of Flower with NVIDIA FLARE to supercharge the federated learning ecosystem. Combined Flower framework with NVIDIA's federated learning technology for improved development experience.
- BloodCounts!corePartnership to revolutionize early diagnosis of global haematological conditions. BloodCounts! uses Flower for federated AI analysis of blood count data across institutions.
- NVIDIAcoreNVIDIA and Flower collaboration to improve federated learning development for researchers, data scientists, and AI developers.
- OwkinminorCollaboration on federated learning for biomedical research and healthcare AI development.
- BraveminorCollaboration on private ads research using federated learning for privacy-preserving ad serving on the Brave browser.
- Eye2GeneminorRevolutionizing healthcare with federated AI - Eye2Gene demo showcase using Flower for medical imaging AI.
- DeepLearning.AIcoreEducational partnership offering federated AI courses with Andrew Ng - 'Intro to Federated Learning' and 'Federated Fine-Tuning of LLMs' for developer education and awareness.
Scale indicators11 records
Recent moves6 records
Expansion highlights7 records
Flower Labs competitors and assessment
Company assessmentEmerging players
- Owkin: Federated learning platform specialized for healthcare and biomedical research, with a listed partnership/collaboration with Flower Labs. Comparable in healthcare vertical focus though narrower in scope than Flower's cross-industry platform.
- Snorkel AI: Data-centric AI platform focused on programmatic data labeling and weak supervision for enterprise AI. Adjacent competitor in the broader 'AI platform for regulated industries' category, particularly for customers who might otherwise choose federated approaches.
- Determined AI (now HPE): Open-source MLOps platform for model training and experiment management, acquired by Hewlett Packard Enterprise. Competes for enterprise ML infrastructure budget and developer adoption in the same target customer base.
- Weights & Biases: MLOps and experiment tracking platform widely adopted by ML developers. Competes for developer mindshare and tooling budget with Flower's framework, though focused on model development rather than federated training specifically.
Direct peers
- NVIDIA FLARE: NVIDIA's open-source federated learning framework, which is now formally integrated with Flower (March 2025). Direct competitor in federated learning for healthcare and enterprise, with the advantage of NVIDIA's GPU ecosystem and AI Enterprise distribution.
- OpenFL (Intel): Intel's open-source federated learning framework originally developed for healthcare and life sciences. Direct open-source competitor with the advantage of Intel's hardware ecosystem and existing healthcare deployments.
- FedML: Open-source federated learning and MLOps platform serving a similar developer community with production-grade deployment tooling. Direct competitor in the open-source federated learning infrastructure layer that Flower competes in.
- FATE (WeBank AI): Open-source federated learning framework originally developed by WeBank with strong adoption in financial services and Asia. Direct competitor particularly in banking/finance federated use cases where Flower has also shown traction (Banking Circle).
Broad incumbents
- Hugging Face: AI platform for model hosting, training, and collaboration with a large open-source community. Listed as an integration partner of Flower but also a broader incumbent competing for the same developer community and enterprise AI platform budget.
- Anyscale: AI compute platform built on Ray for distributed model training and serving. Broader incumbent in enterprise AI infrastructure competing for the same platform budget in organizations considering federated or distributed training architectures.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Flower Labs social profiles
Digital presenceFlower Labs compliance and trust
Trust signalCompliance1 record
Flower Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Flower Labs leadership team
Management profileNumber of profiles
Profiles3 records
Flower Labs funding detail
Funding detailFunding overview
Funding rounds2 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Flower Labs 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 Flower Labs
What does Flower Labs do?
Flower Labs provides an open-source federated learning framework and enterprise platform that enables collaborative AI training across distributed data sources without centralizing sensitive information. The offering spans the Flower Framework (core FL infrastructure supporting any ML framework including PyTorch, TensorFlow, JAX, XGBoost), Flower Hub (app marketplace with verification), Flower SuperGrid and Flower Enterprise (production-grade deployment with ISO 27001, OIDC/RBAC), and the Lizzy 7B sovereign LLM. Forward-deployed engineering services accompany the platform for enterprise customers.
Is Flower Labs a public or private company?
Flower Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Flower Labs founded?
Flower Labs was founded in 2020. It employs 51 to 100 people.
Where is Flower Labs based?
Flower Labs is headquartered in Hamburg, Germany, in the Europe region.
How does Flower Labs make money?
Three revenue lines are on record. Flower Enterprise is the primary driver. The others are forward Deployed Engineering Services and open Source Framework.
Who are Flower Labs's main competitors?
Emerging players on record are Owkin, Snorkel AI, Determined AI (now HPE) and Weights & Biases. Direct peers are NVIDIA FLARE, OpenFL (Intel), FedML and FATE (WeBank AI). Broad incumbents are Hugging Face and Anyscale.
Does Flower Labs have an API?
Yes. Flower provides Python SDK and API for building federated learning applications. The framework supports client/server architecture with flwr clientapp and serverapp APIs. Flower offers comprehensive Python API documentation and CLI tools. The SDK enables developers to implement custom federated learning strategies, client/server logic, and integrate with existing ML frameworks. Developer documentation is at flower.ai/docs/framework.
What industry is Flower Labs in?
Flower Labs's product category is Federated Learning Platform. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms, with a secondary code of HDAAACAA, Foundation Model Developers (LLM/Multimodal Model Labs). Its SIC code is 7373.