3M M*Modal
3M M*Modal provides AI-powered clinical documentation and speech recognition software that helps healthcare professionals capture patient stories accurately while reducing administrative burden through real-time conversational intelligence and automated workflows.
Deepgram
Deepgram provides an AI-powered voice intelligence platform that offers high-speed speech-to-text transcription and text-to-speech capabilities for developers building real-time voice applications and scalable audio analysis tools.
Quick Comparison
| Feature | 3M M*Modal | Deepgram |
|---|---|---|
| Website | 3m.com | deepgram.com |
| Pricing Model | Custom | Freemium |
| Starting Price | Custom Pricing | Free |
| FREE Trial | ✘ No free trial | ✓ 0 days free trial |
| Free Plan | ✘ No free plan | ✓ Has free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2001 | 2015 |
| Headquarters | Franklin, USA | San Francisco, USA |
Overview
3M M*Modal
3M M*Modal is a clinical documentation platform designed to help you close the gap between patient care and paperwork. By using advanced conversational AI, the software allows you to dictate notes directly into your Electronic Health Record (EHR) system with high accuracy. You can focus more on your patients and less on typing, as the system understands medical terminology and context in real-time.
The platform serves individual practitioners, large health systems, and specialized medical centers looking to improve documentation quality. It solves the common problem of physician burnout by streamlining the charting process and providing real-time clinical insights. Whether you are in a clinic or a hospital, you can use these tools to ensure your patient records are complete, compliant, and captured quickly.
Deepgram
Deepgram is a voice intelligence platform that helps you convert audio into actionable text with high speed and accuracy. Instead of relying on traditional speech models, you get access to deep learning-based transcription that handles noisy environments, multiple accents, and industry-specific jargon. You can process thousands of hours of audio in minutes or build responsive, real-time voice bots that interact with your customers naturally.
The platform is built for developers and businesses that need to scale voice features without the typical latency of legacy providers. You can use it to transcribe meetings, analyze call center recordings for sentiment, or generate lifelike AI voices for your applications. With a flexible pay-as-you-go model and a generous $200 starting credit, you can begin building and testing your voice-enabled products immediately without upfront costs.
Overview
3M M*Modal Features
- Fluency Direct Dictate directly into any EHR field with high-accuracy speech recognition that understands complex medical terminology and accents.
- Computer-Assisted Physician Documentation Receive real-time proactive alerts and suggestions while you document to ensure clinical specificity and improve coding accuracy.
- Virtual Provider Assistant Use conversational AI to complete tasks like looking up lab results or scheduling follow-ups using simple voice commands.
- Mobile Documentation Capture patient stories on the go using your smartphone as a secure wireless microphone and documentation tool.
- Natural Language Understanding Turn unstructured narrative text into structured, actionable data that your healthcare organization can use for better reporting.
- Evidence-Based Clinical Guidance Access built-in clinical intelligence that flags potential documentation gaps before you sign off on a patient's chart.
Deepgram Features
- Real-time Transcription. Stream live audio and receive transcriptions with millisecond latency to power your interactive voice bots and live captions.
- Pre-recorded Batch Processing. Upload massive libraries of recorded audio and get accurate text back in seconds rather than hours or days.
- Aura Text-to-Speech. Generate human-like, conversational AI voices for your applications with low-latency response times that feel natural to listeners.
- Smart Formatting. Automatically apply punctuation, capitalization, and paragraph breaks to your transcripts so they are ready for immediate use.
- Multi-Language Support. Transcribe and translate audio in over 30 languages to reach a global audience and support diverse user bases.
- Topic Detection. Identify key themes and subjects within your conversations automatically to summarize long meetings or support calls quickly.
- Sentiment Analysis. Track the emotional tone of your audio to understand if your customers are frustrated, satisfied, or neutral.
- Custom Vocabulary. Train the model to recognize your specific product names, technical terms, and company acronyms for higher accuracy.
Pricing Comparison
3M M*Modal Pricing
Deepgram Pricing
- $200 one-time credit
- Access to all base models
- Pre-recorded transcription
- Streaming transcription
- Text-to-Speech access
- Community support
- No upfront commitment
- Pay per minute of audio
- Everything in Free, plus:
- Unlimited concurrent streams
- Access to Nova-2 models
- Standard email support
Pros & Cons
3M M*Modal
Pros
- High accuracy in recognizing specialized medical and surgical terminology
- Seamless integration with major EHR platforms like Epic and Cerner
- Reduces time spent on clinical documentation after patient visits
- Real-time feedback helps improve the quality of clinical notes
Cons
- Initial setup and EHR integration requires significant IT coordination
- Learning curve for mastering specific voice commands and macros
- Pricing is not transparent for smaller independent practices
Deepgram
Pros
- Extremely low latency for real-time applications
- High accuracy even in noisy audio environments
- Generous $200 starting credit for new users
- Simple API documentation makes integration very fast
- Nova-2 model provides excellent price-to-performance ratio
Cons
- Usage-based costs can scale quickly with volume
- Requires technical knowledge to implement via API
- Dashboard reporting could be more detailed
- Limited out-of-the-box integrations for non-developers