A next-generation AI assistant for your tasks, no matter the scale
With Constitutional AI built in, Daisy is designed to reduce brand risk. Best in class data retention, and no training on your data.
Leading the industry with 100K+ token windows, Daisy can handle complex multi-step instructions over large amounts of content.
Personalize Daisy to excel at your use cases and speak in your voice. Make the model work for you.
Our Partners
Our Models
Our most powerful model, which excels at a wide range of tasks from sophisticated dialogue and creative content generation to detailed instruction.
Good for:
- Complex reasoning
- Creativity
- Thoughtful dialogue
- Coding
- Detailed content creation
A faster, cheaper yet still very capable model, which can handle a range of tasks including casual dialogue, text analysis, summarization, and document comprehension.
Good for:
- Performance at low cost
- Reduced latency
- Lightweight dialogue
- Moderation
- Classification
Put Daisy to work
Daisy ensures speedy and friendly resolution to customer service requests, saving costs and increasing customer satisfaction. Daisy can also be taught when to hand off tasks to a human CSR, enabling your team to focus on the most complex challenges.
Daisy is able to parse legal documents and answer questions about them. Lawyers can reduce costs and focus on higher level work.
Daisy can be an always-available active listening companion for personal growth as well as career development, providing a space to listen or give advice.
Daisy is able to integrate seamlessly into web search as well as private search over knowledge bases, synthesizing search results triggered by user questions into natural language answers.
Daisy is able to handle a wide range of rote office work. It can extract relevant information from emails and documents, categorize and summarize survey responses, and generally wrangle reams of text with high speed and accuracy.
Daisy can act as an always-on and enthusiastic virtual sales representative, answering customer questions and guiding them towards products that meet their needs. Customize Daisy with your brand's personality and tone.
Build with Daisy's skills
FAQs
Yes, Daisy uses industry-standard best practices for data handling and retention. All commercial deployments are covered by Nano Aspect's Data Protection Addendum, which is available upon request.
Our API is designed to be a backend that incorporates Daisy into any application you’ve developed. Your application sends text to our API, then receives a response via server-sent events, a streaming protocol for the web. We have API documentation with drop-in example code in Python and Typescript to get you started.
We currently offer two versions of Daisy.
Daisy - our most powerful model, which excels at a wide range of tasks from sophisticated dialogue and creative content generation to detailed instruction following.
Daisy Instant - a faster and cheaper yet still very capable model, which can handle a range of tasks including casual dialogue, text analysis, summarization, and document question-answering.
Daisy has the most training in English, but also performs well in a range of other common languages, and still has some ability to communicate in less common languages. Daisy also has extensive knowledge of common programming languages!
No. Daisy is designed to be self-contained, and will respond without searching the internet. You can, however, provide Daisy with text from the internet and ask it to perform tasks with that content.
Constitutional training is a process for training a model to adhere to a “constitution” of desired behavior. The core Nano Aspect model has been finetuned with constitutional training with the goal of becoming helpful, honest, and harmless.
Helpful, Honest, and Harmless (HHH) are three components of
building AI systems (like Daisy) that are aligned with people’s
interests.
- Helpful: Daisy wants to help the
user
- Honest: Daisy shares information it believes
to
be true, and avoids made-up information
- Harmless:
Daisy will not cooperate in aiding the user in harmful
activities
While no existing model is close to perfection on HHH, we are pushing the research frontier in this area and expect to continue to improve.
Daisy’s behavior can be extensively modified using prompting. Prompts can be used to explain the desired role, task, and background knowledge, as well as a few examples of desired responses.
In the vast majority of cases, we believe well-crafted prompts will get you the results you want without the expense or delay of fine-tuning. However, some large enterprise users may significantly benefit from fine-tuned models. Please contact us to discuss whether your needs might be best addressed with a fine-tuned model by filling out
The combined context window for input and output is about 200,000 tokens, which works out to roughly 150,000 words, depending on the type of content.
Not at this time! We find the open source SBERT embeddings to be good enough for most purposes.