Bridging the AI infrastructure gap
The Control Plane for
AI-Ready Data
Built on our highly scalable data version control architecture, lakeFS manages the data lifecycle, provenance, and unified access for AI and data engineering teams
Trusted By:
Ensure
Data Quality
- Enforce data quality standards to catch errors before they reach production
- Test pipeline and model changes in isolation on production data, with zero data copy
- Run agents in isolated data sandbox
- Instantly roll back from data incidents
Make
Training and Agent Runs Reproducible
- Track the exact data used in every experiment, training run, or agent action
- Version data alongside code and models for end-to-end reproducibility
- Re-create, debug, or build on any past result or agent run with the same inputs
Reduce
Data Access Friction
- Give tools, users, and AI agents centralized access to distributed data
- Work with any tool on remote data as if it were local
- Keep your GPUs busy without waiting for data
Enable
Compliance and Governance by Design
- Capture data audit trail and lineage automatically across every workload
- Manage controlled and isolated data access across tools, agents, and users
- Reduce compliance risk with preventive data controls
- Simplify regulatory audits with built-in evidence, not manual reporting
Curious how lakeFS can help you deliver AI projects faster and more efficiently?
CASE STUDY:
How Arm Powers Its Data Management Infrastructure with lakeFS
With lakeFS, Arm implemented automated data cleaning, avoided costly data duplication, streamlined engineering workflows, and established a robust governance framework to manage data across distributed teams. The result: faster go-to-market, reduced storage costs, improved development velocity, and stronger data governance. Read full case study
Faster
go-to-market
Improved development velocity
Reduced
storage costs
Stronger data governance
lakeFS saved us from the analysis paralysis of overthinking how to test new software on our data lake at Netflix scale. In less than 20 min I had lakeFS up and running, and was able to run tests against my production data in isolation and validate the software change thoroughly before pushing to production. With lakeFS, we improved the robustness and flexibility of our data systems
Holden Karau,
Open Source Engineer
Open Source Engineer
With lakeFS, we have streamlined data science and MLOps workflows, adapted data access controls for different teams, accelerated productivity and reduced time-to-insight for ML engineering projects.
Leonard Aukea
Head of ML Engineering & Operations
Head of ML Engineering & Operations
Transparent, traceable and repeatable development of AI is critical to us. What’s important for Lockheed Martin is that we don’t just focus on what we’re building but also on the how.
Greg Forrest
Director of AI Foundations
Director of AI Foundations
lakeFS allows managing versions for any type of feed. Some files are tabular; some are not. Tracking feeds in lakeFS is pretty fast.
Vara Ghanta
Principal Software Engineering Manager
Principal Software Engineering Manager
Moving to a data branching solution has paid off quickly for us. A few days after completing the migration, we’ve already reduced testing time by 80% on two different projects. And we’re excited to see how data branching increases our product velocity.
Ryan Green
CTO
CTO
With lakeFS we can easily achieve advanced use cases with data, such as running parallel pipelines with different logic to experiment or conduct what-if analysis, compare large result sets for data science and machine learning, and more.
Stephen Seewald,
Raghvendra Verma,
Cory Matheson
Raghvendra Verma,
Cory Matheson
It used to take our entire ML engineering team 2 weeks to launch 2-3 new models. After implementing lakeFS, we now launch 6 new models in the same time with half the team.
David van Son,
Software Engineer
Software Engineer
Our partners
Seamlessly integrate with your
data and AI stack
lakeFS adds the foundation for AI-ready data to your AI and data tech stack
lakeFS connects to every object storage that uses the S3 interface
lakeFS supports all broadly used compute engines
All common ingest technologies are integrated into lakeFS
Data Quality is mandatory for your data lake health. Ensure/maintain the highest data quality together with lakeFS
Learn more about lakeFS and AI-ready data
Product, Thought Leadership
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