Civitai

An impressive 72% of L1 and L2 support tickets were resolved immediately by CivBot, with no further action required or requested. This high resolution rate underscores CivBot's capability to understand and address a wide range of customer queries effectively.

Petal

The implementation led to a staggering 90% reduction in first-contact abandonment. Customers were more engaged and satisfied with the AI- driven support system. Customer interactions were characterized by immediate feedback rather than an uncertain, lengthy wait.

Approvo AI

GPT-trainer’s technology brought about the creation of the world’s first “generative AI powered” medical device regulatory affairs platform.

Turnberry

Consultants at Turnberry Solutions began experimenting with GPT-trainer as a versatile no- code custom generative AI tool builder. Upon seeing immediate ROI through efficiency improvements and time savings, Turnberry started creating custom chatbots and deploying them for its clients.

Daou Tech

With GPT-trainer's evolving capabilities and increasing adoption, Daou Office anticipates a strategic reduction in its human support team size (currently 18 people total). A projected decrease of one FTE per year will further optimize operational costs while maintaining or even improving service quality.

Evergreen

Using GPT-trainer’s multi-agent framework and function-calling capabilities, Evergreen was able to gain on-demand access to synchronized and indexed repository of clean clinical trials data, as well as relevant research publications hosted by Semantic Scholar. Furthermore, GPT-trainer’s no-code UI allowed Evergreen to quickly iterate on system prompt design for AI- generated sections of the clinical trial protocol. Once the system prompts and associated trial requirements have been provided, GPT-trainer was tasked with generating sections of Phase I and II, non-cancer clinical trial protocols in a production environment. The result was then returned to Evergreen via API and served through a client-facing UI.

Vbill

GPT-trainer team developed a separate, standalone instance of its core technology platform on AWS servers co-managed by VBill.cn’s IT team. This enabled all uploaded data to be physically isolated from other users and can be actively monitored by VBill.cn. This ensured that services performed by GPT-trainer conformed to relevant compliance standards.

Conference

Over the course of 3 days, the AI chatbots recorded an aggregate of 8,000+ conversation sessions. The general Q&A chatbot boasted an impressive 79% resolution rate of all incoming queries. Responses were immediately generated after the users submitted their requests. The “AI digital doubles” were trained on speaker-provided domain-specific datasets and configured to be much more conservative in nature. They exhibited a large variance in resolution rates, but still averaged around 65%. Many speakers chose to respond to session attendees’ questions that the AI could not answer directly after the fact, using the built-in human handover feature.