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Orchestrate ML & Data Pipelines with Workflows

Python-first. On Kubernetes. Production-ready.

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Clusters table with GCP, Azure, AWS, and generic nodes displaying version and node counts.

Python-Native DAGs

  • Write each task as a Python function. Define conditional branches, retries, and dependencies with clean, readable code.
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Modular & Reusable

  • Split your pipeline into logical steps—like data prep, training, evaluation, and deployment. Reuse components across projects.
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Autoscaling settings for deploying multiple pod instances with CPU utilization metrics and auto shutdown options.
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Visual UI + CLI

  • Author in code or use the UI to configure, deploy, and visualize your workflow as a Directed Acyclic Graph (DAG).
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Triggers & Scheduling

  • Run workflows on-demand, on a schedule (cron), or via Git/webhooks. Great for automating retraining, batch jobs, and more.
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Job scheduling settings panel with trigger, manual, and weekly on Friday options displayed.
Inbuilt Model Registry listing XGBoost, SmollM, churn model, handwritten digits recognition, Llama models.

Real-Time Monitoring

  • Track every run’s status, logs, runtime, and version. Rerun failed steps or trigger manual executions with one click.
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Seamless Integrations

Works out of the box with
  • S3, GCS, Azure Blob for data, GitHub, GitLab for source triggers, Hugging Face, Docker, TFY models & endpoints
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Deploy manually service with Docker, model with LLMS or from catalogue with BERT, Lora models.

Data & Infra Integrations

  • Bring datasets from S3, GCS, Azure Blob, or Hugging Face.
  • Run jobs on our infrastructure or yours— on cloud or on prem
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Enterprise-Ready

Your data and models are securely housed within your cloud / on-prem infrastructure.

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    Fully Modular Systems

    Integrates with and complements your existing stack
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    True Compliance

    SOC 2, HIPAA, and GDPR standards to ensure robust data protection
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    Secure By Design

    Flexible Role based access control and audit trails
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    Industry-standard Auth

    SSO Integration via OIDC or SAML
Awards badges for Momentum Leader, Best Support, Best Est. ROI, Users Love Us, High Performer.
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GenAI infra- simple, faster, cheaper

Trusted by 30+ enterprises and Fortune 500 companies

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Talk to Experts
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Testimonials TrueFoundry makes your ML team 10x faster

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Deepanshi S
Lead Data Scientist
TrueFoundry simplifies complex ML model deployment with a user-friendly UI, freeing data scientists from infrastructure concerns. It enhances efficiency, optimizes costs, and effortlessly resolves DevOps challenges, proving invaluable to us.
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Matthieu Perrinel
Head of ML
The computing costs savings we achieved as a result of adopting TrueFoundry, were greater than the cost of the service (and that's without counting the time and headaches it saves us).
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Soma Dhavala
Director Of Machine Learning
TrueFoundry helped us save 40-50% of the cloud costs. Most companies give you a tool and leave you but TrueFoundry has given us excellent support whenever we needed them.
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Rajesh Chaganti
CTO
Using the TrueFoundry platform we were able to reduce our cloud costs significantly. We were able to seamlessly transit for AMI based system to a docker-Kubernetes based architecture within a few weeks.
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Sumit Rao
AVP of Data Science
TrueFoundry has been pivotal in our Machine Learning use cases. They have helped our team realize value faster from Machine Learning.
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Vivek Suyambu
Senior Software Engineer
TrueFoundry makes open-source LLM deployment and fine-tuning effortless. Its intuitive platform, enriched with a feature-packed dashboard for model management, is complemented by a support team that goes the extra mile.
9.9
Quality of Support
G 2
Read More
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