We train the model, you own the IP.
We work to ISO 27001 infosec standards and follow responsible and ethical AI frameworks.
Our experts build AI systems that can be trusted at scale. We focus on delivering models with over 95% confidence.
The Floating Point platform allows us to monitor and manage the AI solution after deployment and while it is in use in the real world. We are able to monitor for data drift over time and to check for any errors in the accuracy of our model over time.
Our dedicated support engineers can monitor, compare and prepare future versions of your model. We are able to monitor for data drift and to check for any errors in the accuracy of our model over time.
The platform enables close monitoring of usage, costs, and scalability aligned with your business needs. It ensures contracted uptime and a high level of service.
The best AI solutions require the most powerful machines to train on, and our partnership with NVIDIA gives us those machines. Our partnership allows us to connect many large NVIDIA machines together, at any scale, so we can train the newest and best models for your use case.
The AI Paper Club podcast is the monthly resource for anyone interested in the world of artificial intelligence. With guests hand-picked by Deeper Insights, each episode dives into the latest academic papers, research, and theories in the field.
Smith & Nephew
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