Let's talk about flexible pricing for your AI needs
Twin AI offers flexible pricing designed to perfectly suit your team's unique document automation needs. We move beyond one-size-fits-all solutions to deliver exceptional value and a significant return on investment. Our aim is to save time, money and stress. Empower your employees, reduce repetitive tasks and ensure deadlines are consistently met.
Our customers typically achieve a minimum of 70% cost reduction and 90% time savings after implementation. With these savings, you can move faster, enhance customer engagement and expand team expertise.
Our pricing structure is thoughtfully designed to support your organization's growth without imposing any artificial limitations.
You have the freedom to implement an unlimited amount of workflows, automating every relevant document process your business requires. We believe in empowering you to fully leverage the potential of AI with an infinite monthly AI budget. You can also strategically select the newest AI models for each specific workflow from our bi-weekly updated library.
Reclaim your team's valuable time with Twin AI. We alleviate the burden of repetitive document tasks, fostering happier, more productive employees and reducing workplace stress. Experience immediate cost and time savings, empowering you to accelerate operations, strengthen customer relationships, and cultivate team expertise.
Let us handle the automation, so you can concentrate on achieving significant growth and success.
Learn more about our features
No, there is not. Joining Twin AI means receiving an infinite monthly AI budget for unlimited document generation. Of course, costs can vary between different AI-models, but you don't have to worry about this. Our goal is to be clear and upfront about our pricing. This is why we always aim to achieve a minimum of 70% cost reduction and 90% time savings.
Prompt chaining is a method to enhance the quality of the final outcome in AI document generation. It involves using the output from one prompt as the input for another. This approach is particularly useful when you need to refine the end result. For instance, instead of using a single prompt like "Provide an answer to the question, ensuring it follows the conversation flow," you could use two separate prompts. First, "Provide an answer to the question," and then, "Given this answer, rewrite it so it fits seamlessly into the conversation." This two-step process can lead to more coherent and contextually appropriate results, especially with complex and long documents.
These AI blocks are designed to improve their output quality through the process of manually labeling results. This labeling helps the AI learn and adapt for better performance.
An LLM, or Large Language Model, is a type of artificial intelligence model designed to understand, generate, and manipulate human language. These models are "large" both in terms of the size of the neural network (often consisting of billions of parameters) and the vast amount of text data they are trained on.
After 365 days, and/or whenever your storage capacity of 5GB has been reached, we remove run-data following the FIFO principle. Rest assured, your labeled data remains untouched, facilitating your experiments with various self-learning AI models.
Only authorized Twin personnel with the necessary permissions can access your data, and this access is strictly limited to maintenance and support purposes. We enforce robust access controls to ensure the security and confidentiality of your data. Your organization retains full control and ownership, encompassing all workflows and data transmitted through our system.