Chatrpillars that mean business.
Chatrpillar | Chrysalis
The Answer to your clients most pressing questions.
Chatrpillar | Chrysalis is our flagship product and a solid entree into the world of AI communications. In colloboration with your team, we take in dozens or even hundreds of questions about your services, your website, and your offerings to create a semantic, conversational experience for your clients. This saves your staff precious time while providing instant answers to your clients most pressing questions.
Chatrpillar | Metamorphosis
Structure complex data for conversational use
and watch your productivity take flight.
Chatrpillar | Metamorphosis is suited for complex tasks. Data from spreadsheets, databases, and more are carefully manipulated and structured for AI digestion, ensuring accuracy, security, and immediate availability. Answers to questions no longer require digging through build charts, rifling through rate sheets, or scanning long excel files for results. Yesterday’s data was not designed for Large Language Models. Metamorphosis solves this problem to bring your data into the future, at the speed of your client’s or coworkers queries.
What Else Can They Do?
Internal Excellence
Chatrpillars can be created to help your staff be more efficient. With the data they need only a short conversation away, everyone can be on the same page without even opening the book.
Collecting Flowers
Collect data from your clients conversations with their consent. Let the Chatrpillar ask the questions and send the answers pretty much anywhere you want.
The Result
Chatrpillar continues to evolve with your business. What do you want your data to do for you? Leave the Cocoon. Fly into the future.
Frequently Asked Questions
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No. Chatrpillar is not the same as Chat-GPT. Chat-GPT retains your data on OpenAI’s servers. While Chatrpillar utilizes Large Language Models (LLMs) such as GPT models, Llama models, Anthropic models, etc. it stores your data in a separate Vector Store database on a secured server. Chatrpillar only knows what you want it to know.
