
10Duke Enterprise is a cloud-based, scalable and flexible software licensing solution designed to enable software vendors to easily configure, manage and monetize the licenses they provide to their customers.
10Duke Enterprise enables you to gain a single point of license control for desktop, SaaS, and mobile apps, APIs, VMs and devices.
It’s cloud-native, supports all license models, integrates with CRM & Ecommerce, has a built-in Customer Identity Management solution, and supports offline scenarios. 10Duke Enterprise is used by SMBs and Fortune 500 customers alike, and is SOC 2 compliant.
10Duke Enterprise is used across a wide range of industries by the fastest-growing software vendors that offer desktop, SaaS and mobile apps, devices, APIs and VMs. It's specifically designed for fast-growing software businesses looking to scale up licensing & minimize friction.
› Unlock 15-30%+ revenue from your existing customers
› Prevent revenue leakage by means of a real-time licensing and access control solution
› Vastly reduce internal license admin costs (up to 70%)
› Improve how your customers can trial and access your products
› Learn how and when your customers are using your licenses and product features to help drive license sales
› Prevent revenue leakage by means of a real-time licensing and access control solution
› Integrate with 3rd party systems like CRM & ecommerce
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The pioneer in Enterprise-Class Cloud Based Software Licensing and Monetization since 2005, as used by the world's leading SaaS, Software and IoT Companies.
1000s of software companies have used Zentitle to launch new software products faster and control their entitlements easily, many going from startup to IPO on our cloud software license management solutions.
Software Companies looking to monetize their products and manage their customers use the Zentitle platform.
Save engineering time.
Reduce infrastructure costs.
Get your software to market quickly.
If you create and sell software, it is time to adopt modern Licensing Models.
Product Managers looking to drive revenue from their products do so much faster with Zentitle. New offerings, plans and tiers can be brought to market fast, with little to no engineering once Zentitle is in place.
Allow your customers to buy in all the ways they want to.
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MosaicML
Easily train and deploy large-scale AI models with just a single command by pointing to your S3 bucket—then let us take care of everything else, including orchestration, efficiency, node failures, and infrastructure management. The process is straightforward and scalable, allowing you to utilize MosaicML to train and serve large AI models using your own data within your secure environment. Stay ahead of the curve with our up-to-date recipes, techniques, and foundation models, all developed and thoroughly tested by our dedicated research team. With only a few simple steps, you can deploy your models within your private cloud, ensuring that your data and models remain behind your own firewalls. You can initiate your project in one cloud provider and seamlessly transition to another without any disruptions. Gain ownership of the model trained on your data while being able to introspect and clarify the decisions made by the model. Customize content and data filtering to align with your business requirements, and enjoy effortless integration with your existing data pipelines, experiment trackers, and other essential tools. Our solution is designed to be fully interoperable, cloud-agnostic, and validated for enterprise use, ensuring reliability and flexibility for your organization. Additionally, the ease of use and the power of our platform allow teams to focus more on innovation rather than infrastructure management.
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Llama 2
Introducing the next iteration of our open-source large language model, this version features model weights along with initial code for the pretrained and fine-tuned Llama language models, which span from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been developed using an impressive 2 trillion tokens and offer double the context length compared to their predecessor, Llama 1. Furthermore, the fine-tuned models have been enhanced through the analysis of over 1 million human annotations. Llama 2 demonstrates superior performance against various other open-source language models across multiple external benchmarks, excelling in areas such as reasoning, coding capabilities, proficiency, and knowledge assessments. For its training, Llama 2 utilized publicly accessible online data sources, while the fine-tuned variant, Llama-2-chat, incorporates publicly available instruction datasets along with the aforementioned extensive human annotations. Our initiative enjoys strong support from a diverse array of global stakeholders who are enthusiastic about our open approach to AI, including companies that have provided valuable early feedback and are eager to collaborate using Llama 2. The excitement surrounding Llama 2 signifies a pivotal shift in how AI can be developed and utilized collectively.
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