SeekrFlow platform overview

The end-to-end
platform for trusted AI

SeekrFlow™ helps you train, validate, deploy, and scale trusted AI applications in one complete, secure platform. From seamless data prep and model training to secure deployment, we deliver the tools you need to accelerate your AI journey with confidence.

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3X

more accurate model responses when aligned using SeekrFlow

90%

lower cost to prepare an AI-ready dataset vs. traditional approaches

2.5x

faster to prepare a dataset vs. traditional approaches

30

minutes or less to build a production-grade LLM, ready to validate and deploy

Build trust into every stage of the AI lifecycle

Fully customizable AI for your use case

Build your AI application with open-source models for RAG and fine-tuning without black-box constraints. Our complete end-to-end platform gives you the flexibility to scale, ensuring your AI adapts to your enterprise needs with full configurability and control.

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End-to-end AI workflow management made simple

Manage the entire AI lifecycle with a single API call, SDK, or intuitive no-code interface. SeekrFlow seamlessly integrates with any cloud or hardware, optimizing efficiency across data preparation, training, deployment, and inference—so you can simplify operations and only pay for what you need.

Train trusted models at a fraction of the cost and time

Effortlessly train AI models powered by your data. Our data preparation feature automates the ingestion, structuring, and optimization of unstructured enterprise data into a high-quality LLM-ready dataset for fine-tuning and retrieval—enhancing model accuracy by 3x and relevance by 6x.

Validate and contest model accuracy with confidence

Leverage rich explainability tools and human-in-the-loop oversight to validate model accuracy. Token-level confidence scores, side-by-side prompt comparisons, and input parameters offer the control and transparency you need to launch AI applications with confidence.

Fast, reliable deployment with continuous monitoring

Manually deploying machine learning models is time-consuming and error prone. Simplify the process with our five-click deployment and real-time production monitoring, ensuring reliable performance and robust tracking at every stage of the lifecycle.

Solve enterprise challenges with custom apps and agents

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Deploy Seekr AI anywhere

SeekrFlow is available where your data and compute resides—in the cloud, on-premise, and at the edge.

AI as a service

Build and deploy fast with our cloud—fully managed AI as a Service, no infrastructure required.

Cloud service providers

Integrate seamlessly with your preferred cloud platform.

On-premise

Run on your terms—whether it’s your compute, on-premise, or fully air-gapped environments.

At the edge

Deploy AI anywhere and reduce latency with SeekrFlow at the edge.

Build in the Foundry. Deploy securely at the edge.

Start using SeekrFlow within hours, without configuring infrastructure. The Seekr Edge Appliance is a pre-configured, all-in-one solution designed for rapid deployment of AI workloads in air-gapped environments and standalone data centers. Access GPUs and AI accelerators not in the cloud, avoid costly data movement, and support low-latency AI applications with ease.

Seekr AI at the edge

Complete capabilities to manage the Al lifecycle

Simplified data preparation

Automate the entire data preparation process by ingesting, structuring, and optimizing your unstructured data for fine-tuning, enhanced retrieval, and agentic applications.

Built for model flexibility

Build enterprise-grade applications with full fine-tuning and enhanced retrieval. Bring your own models or choose from leading open-source options.

Model-agnostic explainability

Understand, contest, and improve model accuracy using rich explainability tools that identify the root cause of errors.

Inference for enterprise applications

Integrate fine-tuned models into enterprise business applications (RAG or non-RAG), optimized for use case and budget.

Automate deployments in five clicks

Reduce manual deployment errors by automating model launches—including inference, setup, compatibility, and autoscaling.

Real-time production monitoring

Easily track and monitor deployments in production through a visual real-time dashboard.

Ready to start building?