The simple way to build and run trusted AI
Reduce the cost and complexity of your AI development. SeekrFlow transforms your data into trusted industry applications and runs them seamlessly on the infrastructure of your choice.
Top companies trust Seekr
Enterprise-grade AI that delivers ROI
More Accurate
Lower Cost
Minutes Or Less
Price-performance
Manage AI workflows efficiently from start to finish
Manage the AI lifecycle from a single API call, SDK, or no-code user interface. Compatibility with all hardware and cloud platforms helps you optimize LLM efficiency from training to production, so you only pay for what you need.
Train trusted models at a fraction of the cost and time
Effortlessly train AI models powered by your enterprise, industry, and third-party data. Our agentic workflow automatically converts messy or incomplete data into LLM-ready datasets for fine-tuning, RAG, and more.
Validate the accuracy of your models with confidence
Leverage rich explainability tools to contest and validate model accuracy. Token-level error detection, side-by-side prompt comparisons, and input parameters offer the control and transparency you need to launch AI applications with confidence.
Launch models reliably with five-click deployment
Manually deploying machine learning models is time-consuming and error prone. Use our five-click deployment process to launch models quickly and reliably on your choice of dedicated or serverless infrastructure.
Move from concept to production faster
Build a production-grade LLM in 30 minutes or less using an intuitive no-code interface—enabling faster experimentation and reducing reliance on scarce and expensive AI/ML engineering talent.
Simplify your path to AI ROI with SeekrFlow
Complete capabilities for the AI lifecycle
Manage your entire AI workflow in one place
Manage AI workflows from a single interface that integrates data preparation, pre-training, fine-tuning, inference, and monitoring.
Simplified data preparation and model alignment
Align Al models to your unique goals, principles, and industry regulations without the need to gather and process data.
Choice of popular and domain-specific models
Build enterprise applications using various fine-tuning (LORA, RLHF) and quantization methods, using open-source or domain-specific models.
Optimized foundation model training
Optimize foundational model training for popular architectures, including Megatron-Deepspeed, to achieve low latency and high throughput.
Model agnostic explainability toolset
Understand, contest, and improve your models’ accuracy using rich explainability tools that identify the root causes of errors.
Inference for enterprise applications
Integrate fine-tuned or pre-trained models into enterprise business applications (RAG or non-RAG), optimized for use case and budget.
Ensuring your data remains your data
We adhere to best practices in data compliance and security to ensure your data and privacy are protected at all times.
Easier deployment and monitoring
Easily launch and monitor deployments in production through an intuitive, real-time dashboard of key metrics and insights.Build and operate trustworthy AI anywhere
The Seekr AI 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. Enterprises can start using SeekrFlow within hours, without configuring infrastructure. Access GPUs and AI accelerators not in the cloud, avoid costly data movement, and support low-latency AI applications with ease.
Intel and Seekr: trusted compute at superior price-performance
“The Intel-Seekr collaboration addresses a market gap of finding stable and trusted compute for companies to build trustworthy LLMs with responsibility at the core. AI startups and large enterprises alike are coming to Intel to access advanced AI infrastructure and software that can help jumpstart their innovation and growth.”
