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.
The complete end-to-end AI platform
SeekrFlow is the all-in-one solution to build and deploy custom AI applications using your data. Offering data preparation, training, explainability, and orchestration in one secure platform, SeekrFlow helps you rapidly scale your AI development and speed up your time to ROI.
The Seekr difference
Eliminate roadblocks in AI adoption
Maximize accuracy without complexity
Deploy enterprise-grade RAG and fine-tuning applications with 3x higher accuracy. Train models on your proprietary data and deliver outputs that stay relevant, reliable, and aligned with your business needs.
Cut data prep time, build trusted models faster
Turn your raw, unstructured data into AI-ready datasets to accelerate your model deployment. Our AI-Ready Data Engine uses an agentic workflow to automate the entire data preparation process—2.5x faster and 90% more affordably than traditional methods.
Explainability and transparency, built in
Gain full visibility into model behavior with explainability tools and input parameters. Evaluate and validate model accuracy to ensure superior performance, with built-in traceability to understand how your data influences outputs.
Uncompromised data privacy and security
With Seekr, your data remains yours. We never use it to train other models and give you full control to install our platform wherever your data resides. Our SOC 2 Type I certification ensures best-in-class security, with fine-grained access controls and the flexibility to run on your cloud or hardware of choice.
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.