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Tune AI is a platform that aims to help technologists and enterprises leverage Generative AI effectively to solve real-world problems. It offers insights from documents, automatic speech recognition, and the ability to create custom models on top of open-source models. The platform provides enterprise-grade security with data encryption and compliance certifications like GDPR, CCPA, HIPAA, SOC2, and ISO27001. Additionally, Tune AI offers a flexible and powerful infrastructure for Gen AI applications, including models for indexing and structuring healthcare, patent, and academic documents. It also serves as a playground for building GenAI apps for customers and employees. Tune AI is trusted by major brands and is supported by leading enterprise leaders as angel investors.
Tune was created by NimbleBox, Inc. The company focuses on providing generative AI solutions for real-world problems. NimbleBox, Inc. offers custom models, open-source models, enterprise-grade security, and a flexible and powerful Gen AI infrastructure. The company is backed by leading enterprise leaders as angel investors and is dedicated to building AI infrastructure for various applications.
To use Tune effectively, follow these steps:
Understand Use Cases: Begin by identifying the specific use case you want to address with Tune, whether it's automatic speech recognition, building custom models, or structuring documents.
Access the Platform: Visit the Tune platform and explore the available options for building solutions using Generate AI technology.
Custom Models: If necessary, create custom models on top of the industry-leading open source models provided by Tune for a tailored solution to your needs.
Choose Models: Select from the range of models available on Tune based on your requirements and the use cases you aim to deploy in production.
Enterprise-Grade Security: Ensure data encryption and compliance with regulations like GDPR, CCPA, HIPAA, SOC2, and ISO27001 by leveraging Tune's enterprise-grade security features.
Flexible Infrastructure: Take advantage of the flexible and powerful Gen AI infrastructure offered by Tune, allowing you to explore various applications beyond standard use cases.
Consult with Experts: If needed, speak to a Tune AI consultant to understand how Gen AI can effectively solve your business problems and get insights on leveraging Tune for maximum benefit.
Explore Pricing: Check the flexible pricing options provided by Tune to ensure scalability with your needs, whether you opt for the Pro plan, Enterprise plan, or other custom solutions.
Engage with the Community: Join the community-driven advancement of AI technology supported by Tune and contribute to the development of innovative solutions.
By following these steps, you can effectively harness the power of Tune's Gen AI technology and build tailored solutions to address real-world problems efficiently and securely.
I appreciate the potential of Tune AI to create custom models using open-source frameworks. It's a great step forward for developers looking to tailor AI solutions to specific needs.
The user interface feels a bit clunky at times. Navigating through different features can be confusing, especially for newcomers.
Tune AI helps me with document indexing and structuring, particularly for academic papers. This saves me a significant amount of time in data management.
The enterprise-grade security features are impressive. Knowing that our data is encrypted and complies with regulations like GDPR gives me peace of mind.
While the security is great, the setup process can be tedious. It took quite a bit of time to get everything configured properly.
It aids in automatic speech recognition, which is crucial for our meetings and presentations. This increases our efficiency in capturing important discussions.
The idea of leveraging generative AI for custom applications is promising, and I can see the potential benefits for businesses.
Unfortunately, the platform is still quite buggy. I experienced several crashes while trying to run custom models, which is frustrating.
It has potential for indexing healthcare documents, but the execution is lacking at this point. I hope future updates will improve stability.