Find out in this report how the two AI Professional Services solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
If I buy my own hardware for my organization and I don't need to spend hundreds of thousands of dollars to do that, I'm going to be able to get my ROI back pretty quickly.
We achieve tasks that we are supposed to do in a week within a day.
Time saving is implemented by using AI.
I would rate the customer support a 10.
We have a contract with the client in order to manage scalability, durability, and continuity of service.
Because Private AI is deployed by our company, the support is also very good.
The customer support is great.
If I brought in an LLM and it starts phoning home to an IP address that's not within my organization, I would certainly hope my IT team would be monitoring that.
There are very good frameworks available for scaling it up, such as DLRM.
If you have a good partner that can provide the hardware and move fast on this, it should be a good point to start.
DeepScribe's reliability is good and I have not experienced any downtime.
It is not as stable as a cloud architecture.
Private AI is more stable than even the foundation models because I'm in charge.
DeepScribe has accuracy as its competitive advantage.
The performance of models is affected by quantization type, MTU, token predictions, KV cache type, and cache size.
Deploying a large language model of 70 billion parameters is not an easy task on an on-premise architecture because you have to provide many GPUs.
On the edge, I'm very limited on how much GPU memory I have compared to OpenAI that's got racks and racks of million-dollar servers with terabytes of space.
My experience with pricing, setup cost, and licensing is that it is substantial.
Currently, I believe the cost is quite high.
We have software licenses for our software components.
DeepScribe has positively impacted my organization by speeding up the time to market.
What sets DeepScribe's transcription apart from other solutions is its accuracy.
What makes the open-source models stand out for me compared to frontier models is that I could not afford running jobs 24/7 with proprietary solutions, which fundamentally changes my workflow.
In terms of problem-solving velocity, we have sped up about 2,000 times before using this technology while also looking for specific types of activities to enhance operator growth.
Security features impact my day-to-day work and my confidence in using the tool because I work for the insurance industry, which is a regulated industry that needs to comply with many guidelines and rules, and one of the most important is security and privacy.
| Product | Mindshare (%) |
|---|---|
| Private AI | 2.2% |
| DeepScribe | 1.8% |
| Other | 96.0% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 2 |
| Large Enterprise | 7 |
DeepScribe reduces errors by 30% and saves teams 30% of their time by translating requirements into text and providing pre-charting of medical histories and lab reports before patient visits.
DeepScribe, designed for medical and dental settings, offers high-quality transcription services with rapid documentation, effectively distinguishing between speakers. It aids in accurate documentation and organization of patient conversations and clinical information, enhancing efficiency and preparation for appointments. Areas for improvement include integrating a human-in-the-loop process, expanding dental terminology, and boosting performance in loud environments. Potential features such as patient follow-up reminders and alert systems for lab report abnormalities could enhance its functionality.
What key features does DeepScribe offer?DeepScribe's implementation in healthcare, primarily within hospitals and dental clinics, accelerates prescription documentation and accurately records patient data such as treatment plans and medication details. It transcribes audio for care purposes, capturing real-time interactions and identifying speakers, which simplifies the creation of accurate medical records and streamlines patient visit documentation.
Private AI safeguards sensitive data by offering advanced privacy protection tailored to today's digital landscape. It integrates seamlessly with existing systems while ensuring compliance with privacy regulations.
Designed for organizations prioritizing data privacy, Private AI provides a dynamic approach to protecting user information. Using cutting-edge techniques, it identifies and redacts personal data in datasets, ensuring data remains confidential throughout processes. With a focus on adaptability, it fits diverse needs while maintaining efficiency. Its deployment enhances data protection strategies, providing comprehensive coverage without compromising workflow fluidity.
What key features does Private AI offer?Private AI's implementations span industries like healthcare and finance, where privacy is critical. In healthcare, it protects patient data without hindering service efficiency, while in finance, it secures client information, maintaining compliance and integrity across platforms.
We monitor all AI Professional Services reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
