GPT-Powered Site Search

Spot-on answers,
on the spot

Meet our GPT-powered assistant, trusted by the world’s leading health
systems. Stellar conversations, superior access to knowledge, and
unrivaled explainability–that’s Spot™.

Spot Deployment

Ready, set, Spot™– rapid and easy deployment

Source your entire website

Unlimited web pages and FAQs funneled into one no-code interface.

Activate in seconds

Instant implementation, with no training data or maintenance required.

Eliminate heavy lifting

Reduce the resources required to maintain GPT-powered interfaces.

Key Insights

Understand what your
patients are asking about

Conversation Logs

Dive into how patients are
interacting with your data

Simple Optimization

Easily customize and

improve responses

Usage Metrics

Monitor engagement and conversion rates

“Since we implemented Hyro’s GPT-Powered Spot Solution, a large percentage of general information calls to our call center have been resolved, allowing patients to use the call center to accomplish more urgent and complex tasks.”
Eye Explainability

Eye Explainability™
GPT visibility for enterprise

Spot keeps an eye on the content it uses to generate answers,
assuring accurate, safe, and helpful responses.

It's dark in there.

GPT models are trillion-parameters black boxes:
You know the inputs, you see the outputs, but
there’s no telling what happened in between. Fixing
errors starts with knowing how to find the problem,
and with GPT, there’s no way to investigate the
root cause of wrong and misleading conversations.

Light the way with

Unpack every conversation Spot conducts.
Pinpoint the content pulled to formulate answers,
understand the root cause, and quickly address
any knowledge gaps by sanitizing your data with
relevant, up-to-date information. We call this

Up to


Less Hallucinations

Up to


More Resolutions

* Based on 60,000 Conversations

Personalized interactions for
better patient journeys

Generate custom, powerful responses to queries while navigating patients to
relevant pages for deeper exploration.

Perfectly structured answers

Automatically channel the most relevant content on your website through GPT to generate human-centric answers.

Intelligent paths to resolution

Steer patients to the services and information they need by offering pathways to further discovery.

Intuitive conversations

Handle complex queries with diverse dialects, syntax, synonyms and slang with robust Natural Language Understanding (NLU).

Three-pronged GPT Control

GPT capabilities with the
control you crave

Combine the conversational prowess of large language models
(LLMs) with HIPAA-compliant and PII-secure data scraping
capabilities. All outputs, under your control.

sources of information

Answers pulled exclusively from your HIPAA-compliant data. No external or unauthorized sources.

Integral safety

Proprietary built-in safeguards prevent ‘hallucinations’ and off-target responses.

End-to-end closed
loop API

Closed API ensures the benefits of GPT without exposing your data to third parties such as OpenAI.

Frequently Asked Questions

GPT-4 is a large language model (LLM) developed by OpenAI. It has 175 billion parameters, which is more than 10 times the number of parameters in GPT-3. It is trained on a massive dataset of text and code, and it can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

Large Language Models (LLMs) refer to advanced AI models that are trained on vast amounts of text data to understand and generate human-like language. They use deep learning techniques, particularly transformer architectures, to process and generate natural language. LLMs, such as OpenAI’s GPT-4, have the capability to comprehend and generate text in a wide range of topics and styles. These models have been trained on diverse sources like books, articles, and websites, enabling them to provide answers, generate creative content, assist with language translation, simulate human conversation, and perform various other language-related tasks. LLMs have been a breakthrough in the field of natural language processing and have found applications in various domains, including customer service, content generation, language translation, and more. Learn more about LLMs.

Explainability in Large Language Models (LLMs) refers to the ability to understand and interpret the reasoning behind the model’s predictions and outputs. LLMs are highly complex neural networks with numerous parameters, making it impossible to comprehend the inner workings of these models.

Enterprises are hesitant to implement GPT and other large language models (LLMs) for several reasons. Firstly, LLMs may not meet the precision and accuracy requirements of sensitive industries like healthcare and government. They may not consistently provide correct answers, making them unsuitable for critical tasks. Secondly, the lack of explainability in LLMs poses a challenge. Enterprises need transparency in the reasoning behind the model’s outputs, but LLMs lack visibility and explainability, hindering effective debugging and tracing of inaccuracies.


Moreover, concerns about security and predictability arise with LLMs. They can be manipulated by biases in training data or user prompts, leading to potential risks and liabilities, especially in data-sensitive industries. Additionally, the limited adaptability of LLMs to various channels beyond chat interfaces hinders omnichannel deployment, a priority for many enterprises. Lastly, enterprises require complex actions and integrations, which LLMs may not support adequately. Achieving end-to-end automation and proactive behavior often necessitates additional capabilities beyond what LLMs can offer. These considerations push enterprises to seek alternative solutions that better align with their specific needs.

Supercharge digital patient experiences with
a GPT-powered assistant you can trust.