Close the performance gap of your ML systems.
Enterprise-grade toolkit for teams to continuously optimize AI products, from pre to post-production.
Domain-specific Applications
Power your highest-value use cases
Retrieval Augmented Generation (RAG)
Ensure that your RAGs generate high-quality, relevant outputs.
Leverage custom RAG evaluation metrics and optimize your RAG pipeline parameters, from embedding models to chunk-size.
LLM Safety
Optimize security products to better protect against vulnerabilities, including adversarial attacks and hallucination detection tests.
Continuously evaluate effectiveness of your security measures to help your customers stay resilient in real-world deployments.
Transcription & Summarization
Optimize transcription and summarization tasks to maintain high accuracy, even when dealing with noisy or unstructured data.
Identify the most effective settings for real-time applications through Nomadic’s observability features.
1. Define
Set metrics that matter to your users
Define evaluation metrics to assess expected AI system performance, tailored to the standards of your users.
2. Optimize
Optimize systematically against them
Identify the best model parameter settings or prompt configurations in minutes using Nomadic's state-of-the-art parameter search techniques.
3. Observe
Deploy and repeat
Continuously monitor your AI system and stay ahead of major regressions in the face of new production data.
Teams Using NomadicML
Trusted by AI Pioneers
PLATFORM FEATURES
Deploy self-optimizing systems in minutes, not days
Fast experimentation
Centralized platform designed for teams
Run easy, repeatable experiments to boost your AI performance in the face of new production data.
Simplify experiment workflows across your team with centralized project setup, API key handling, and experiment configuration tools.
Systematic Optimization
Rapid convergence to the best settings
We take you beyond evaluation. Discover and auto-set the best parameters for your ML systems using Nomadic's state-of-the-art hyperparameter optimization library.
Tune a wide range of your system parameters under your budgets, from prompts to embedding model choices.
Custom Evaluation
Standard & LLM-as-a-judge evals out-of-the-box
Set evaluation metrics tailored to assess performance by the standards of your users.
Custom Metrics: Capture nuanced requirements and leverage trustworthy LLM-as-a-judge integrations
Observability
Robust & continuous insights
Test and unlock the impact of different candidate parameter configurations on your system performance.
Justify post-production choices with highly customizable statistical summaries, visualizations, and score distributions.
Faq
Frequently Asked Questions
Can I try the NomadicML Platform before purchasing?
Yes! The Nomadic SDK is open-source & free to use for local experimentation. We also offer a free trial for Nomadic Workspace! With these, you can easily start exploring our features, integrate your models, and leverage the NomadicML to continuously enhance your ML systems.
Would I need to pay for LLM/compute costs to run Nomadic experiments?
NomadicML integrates with both your open & closed-source LLMs. Whether for your local experimentation with the SDK, or for continuous optimization integrations on the Workspace, NomadicML can leverage your most favorable pricing for closed-source LLM tokens & open-source compute costs.
Who can benefit from using Nomadic SDK & Workspaces?
NomadicML's offerings are ideal for all ML engineers, from solo developers to enterprise teams. You can choose between our open-source SDK and our managed-service Workspace to fit exactly your needs. Machine learning practitioners (typically MLEs, MLRs, and Applied Data Scientists) deploying compound AI systems across industry applications can leverage NomadicML's stack to ensure post-production reliability and continuous optimality,
About Us
Community-built by AI innovators
NomadicML is a team of machine learning engineers and researchers who built some of the world's most mission-critical ML systems at Lyft, Snowflake, Google, Microsoft, and Harvard. We've come together as NomadicML to shape the future of continuous learning.
Get rid of guesswork.
Start reliably scaling your real-time AI systems with Nomadic!
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