C3 AI vs Deepgram comparison

C3 AI and Deepgram are both solutions in the AI Sales & Marketing category. C3 AI is ranked #36 with an average rating of 7.0, while Deepgram is ranked #6 with an average rating of 8.5. C3 AI holds a 1.0% mindshare in ASM, compared to Deepgram’s 0.8% mindshare. Additionally, 66% of C3 AI users are willing to recommend the solution, compared to 81% of Deepgram users who would recommend it.

C3 AI

Read 3 C3 AI reviews

789 Views
71 Comparison Views

66% willing to recommend

Deepgram

Read 11 Deepgram reviews

1,708 Views
68 Comparison Views

81% willing to recommend

C3 AI

Deepgram

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Executive Summary

We performed a comparison between C3 AI and Deepgram based on real PeerSpot user reviews.

Find out in this report how the two AI Sales & Marketing solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed C3 AI vs. Deepgram Report (Updated: March 2026).

Buyer's Guide

C3 AI vs. Deepgram

March 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

C3 AI

Ranking in AI Sales & Marketing

36th

Average Rating

7.0

Number of Reviews

Ranking in other categories

AI Data Analysis (18th), AI Customer Experience Personalization (17th), AI Content Creation (10th), AI Procurement & Supply Chain (3rd)

Deepgram

Ranking in AI Sales & Marketing

6th

Average Rating

8.4

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Text-To-Speech Services (2nd), Speech-To-Text Services (1st), AI Customer Support (3rd), AI Scheduling & Coordination (2nd)

Mindshare comparison

As of March 2026, in the AI Sales & Marketing category, the mindshare of C3 AI is 1.0%. The mindshare of Deepgram is 0.8%. It is calculated based on PeerSpot user engagement data.

AI Sales & Marketing Mindshare Distribution
Product	Mindshare (%)
Deepgram	0.8%
C3 AI	1.0%
Other	98.2%

AI Sales & Marketing

Featured Reviews

reviewer2795349

Group Head of Data Strategy & Enterprise Governance at a consumer goods company with 10,001+ employees

Struggled to justify enterprise adoption but have valued broader developer accessibility

If I could change or add anything to improve C3 AI, I would suggest making it not just an AI platform, but a data and AI combined platform, as bringing in data management elements, governance, and cloud features is critical. The real AI and modeling represent only 20 percent of what is needed; there is over 80 percent in the rest of the world that should be addressed. Given Tom Siebel's deep understanding of corporate work and his network, integrating C3 AI with other ERP solutions such as Oracle, SAP, or Microsoft is essential. If C3 AI can be an enterprise platform, embedding more data elements and ensuring seamless integration with other ERP solutions would significantly enhance its capabilities and attractiveness. If someone told me that they have SAP, and C3 AI can seamlessly integrate the data and perform action calls between SAP, allowing me to operate on C3 AI as I would on SAP, that would be a killer feature for me. I would suggest avoiding traditional licensing sales as it is too expensive; the starting price is too high. Considering a subscription model or a pay-per-use model is the best business structure for AI or data solution vendors. The pay-per-use model benefits usage, as the more you use, the more successful you become with the platform.

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Arunkumar HG

Technology Architect & Hands-On Leader | Prototyping, Automation, AI/LLM Integration | 20+ Years in at Regalix

A Powerful, Adaptable, and Constantly Evolving STT Solution for Voice Automation

Honestly, Deepgram has been exceptionally proactive in addressing the primary area that needed improvement. My main challenge was with the real-time detection of when a user has finished speaking in a live conversation, which is critical for a responsive voice bot. They directly solved this by releasing their Flux model. Because Flux is a recent release, I haven't yet had enough time to thoroughly test it and identify new limitations. At this stage, any "improvement" would be more of a "nice-to-have" feature rather than a fix for an existing problem. The core service is already very robust and meets all of our current needs. What additional features should be included in the next release? ---------------------------------------------------------------- Looking toward the future, here are a few features that could add even more value to an already excellent platform: * Advanced Built-in Analytics: While I can get the raw transcript and build my own analytics pipeline, it would be powerful to have features like sentiment analysis, emotion detection, or automatic summarization offered directly through the API. This would save significant development time. * More Granular Speaker Diarization: For calls with multiple participants, enhancing the real-time speaker diarization (labeling who is speaking) to be even more precise would be a fantastic addition for creating detailed call analyses. * Tighter Integration with TTS: Since Deepgram is also expanding into Text-to-Speech (TTS), offering a more seamlessly integrated STT-to-TTS pipeline could simplify the development stack for creating voice agents from start to finish. * Specialized, Pre-Trained Industry Models: While the general models are highly accurate, offering even more specialized, pre-trained models for specific industries like finance, healthcare, or legal-which are heavy on specific jargon-could push the accuracy even higher for those niche use cases.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"One of the best features C3 AI offers is that you do not need to learn Python or any specific machine learning programming language; you can use C3 AI with JavaScript."

"In the first phase alone, there was approximately $90 million in savings, which reduced about 5% of inventory."

"I have noticed improvements in efficiency, reduced downtime, and time saved for my team, as it is quite integrated through the source ML pipeline to report to general customer UI, functioning as one platform that takes care of everything, thus improving efficiency, optimization, and increasing project deliverables."

"The most valuable capabilities of Deepgram that I've found so far include low latency, as it offers less than 200 milliseconds, which is not provided by any other text-to-speech models."

"Deepgram's low latency transcription has greatly impacted my ability to deliver reliable voice agents and provided very good transcription."

"Deepgram's transcription stands out compared to other solutions primarily due to its speed and accuracy; those are important points for me because not all providers or tools handled Spanish well, but Deepgram adjusted perfectly for that use case, and we also chose 11Labs voice, a South American voice, which worked very well with Deepgram."

"We have tracked a reduction of around 70% in the support cost and direct human interaction for support."

"The features that I have been using in the tool have been very stable."

"The best thing with Deepgram is they are continually evolving and doing a lot of market research, and they take feedback seriously."

"The solution's most valuable feature is its speed of transcription, as it is one of the fastest tools, especially if you compare it to the second fastest solution that you can get, which is 20 times faster, so it is not just a marginally faster product."

"Deepgram is able to handle large volumes of audio data without compromising accuracy."

More Deepgram pros

Cons

"We even failed to open any doors for C3 AI; there are no smaller wins, learning opportunities, or process improvements, even if the main goals were not met."

"However, I sometimes hear from colleagues that hallucination is an issue."

"The reason I chose eight out of ten is that as a user of C3 AI, I found the operational aspect not easy to understand; it is a bit tricky, and you should have more core knowledge to navigate C3 AI."

"I would not recommend Deepgram to other users because it does not properly identify video communication."

"The area of live transcription could be improved. Sometimes, Deepgram's WebSocket is disposed of due to redundancy."

"We haven't seen a return on investment with Deepgram so far; we have been building POCs for the last two years but recently switched to AWS in the last two months due to scalability issues with the pay-as-you-go model."

"Deepgram is currently restricted to only the English variants, but it should include other languages, such as German or French."

"Even though Deepgram has many customization options, I wish that Deepgram had voice cloning customization to a much larger extent."

"The traditional Speech-to-Text doesn't understand when the user is done speaking in bot conversations."

"Regarding improvements for Deepgram, I think the quality of the transcriptions could be enhanced, as the Spanish accent poses challenges, making it harder to transcribe some words, and considering additional accents from Chilean or Argentine speakers could improve the model's performance with local words."

"We've had issues in the past where it generates the transcript, and a lot of the text is duplicated."

More Deepgram cons

Pricing and Cost Advice

Information not available

"When using Deepgram, one needs to pay for the hours or minutes for which the transcription is needed."

"The pricing is moderate."

"The solution’s pricing is cheap."

"Deepgram is a cheap solution."

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Top Industries

By visitors reading reviews

Construction Company

33%

Energy/Utilities Company

10%

Comms Service Provider

10%

Manufacturing Company

Educational Organization

University

Financial Services Firm

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	1
Large Enterprise	1

Questions from the Community

What is your experience regarding pricing and costs for C3 AI?

From my experience, I see the pricing, setup costs, and licensing of C3 AI as quite expensive; even a CTO from a globally leading consumer goods company feels it is too expensive and does not want ...

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What needs improvement with C3 AI?

From a features perspective, I cannot identify specific areas for improvement, but for me, the platform feels satisfying. However, I sometimes hear from colleagues that hallucination is an issue. O...

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What is your primary use case for C3 AI?

I was involved in testing, and the main use case is more focused on sourcing. The sourcing team is using C3 AI apps for inventory management and saving inventory data. C3 AI is used by the sourcing...

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What is your experience regarding pricing and costs for Deepgram?

My experience with pricing, setup cost, and licensing was good, as I found it to be cheaper without any problems.

See all answers

What needs improvement with Deepgram?

Even though Deepgram has many customization options, I wish that Deepgram had voice cloning customization to a much larger extent. I also wish that the price were a bit lower if possible.

See all answers

What is your primary use case for Deepgram?

My main purpose for Deepgram was to convert meeting voices to text very easily, and the other purpose was for content creation. I mostly use Deepgram for those two purposes.

See all answers

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Compared 32% of the time

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Compared 24% of the time

Microsoft Azure Speech Service vs Deepgram

Compared 19% of the time

Amazon Transcribe vs Deepgram

Compared 11% of the time

Google Cloud Speech-to-Text vs Deepgram

Compared 10% of the time

AssemblyAI vs Deepgram

Compared 8% of the time

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Product Reports

Buyer's Guide

C3 AI

March 2026

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Buyer's Guide

Deepgram

March 2026

Download Deepgram product report

Overview

C3 AI delivers a comprehensive Enterprise AI application development platform and a large and growing family of turnkey enterprise AI applications.
C3 AI provides over 40 turnkey Enterprise AI applications that meet the business-critical needs of global enterprises in manufacturing, financial services, government, utilities, oil and gas, chemicals, agribusiness, defense and intelligence, and more.

C3 AI

Deepgram stands out for its speed in transcribing videos and speech to text, leveraging cutting-edge models like Whisper and Nova for exceptional performance and accuracy. Its latency is remarkably low, enabling swift transcription that users find superior to alternatives.

Deepgram provides an efficient solution for transforming video and audio content into text, benefiting from its advanced ability to recognize industry-specific terminology. Users experience faster results compared to IBM Watson and OpenAI's Whisper model, with low latency contributing to its appeal. However, challenges in speaker recognition and language support remain areas for improvement. Additionally, stronger spelling and grammar accuracy could enhance its performance. Some seek expanded multi-language capabilities and improved manageability during testing phases, noting its slightly less accuracy compared to other tools.

What are Deepgram's most notable features?

Rapid Transcription: Utilizes cutting-edge models for quick speech-to-text conversion.
Industry Terminology Recognition: Excels in comprehending specific jargon and abbreviations.
Low Latency: Offers transcription with minimal delay, approximately 0.5 to 1 second.
Model Integration: Employs Whisper model combined with Nova for high accuracy.

What benefits should users look for when evaluating Deepgram?

High Speed: Significant improvement in processing time over competitors.
Performance Satisfaction: Users appreciate faster and more fluid transcription.
Textual Accuracy: Enhancements can lead to more reliable outputs in transcripts.
Streamlined Processes: Features like punctuation and Smart Format boost efficiency.

Deepgram is widely implemented across industries for transcribing speech to text, often used by organizations for generating machine transcripts of legal proceedings and other vital communications. Teams deploy it on local systems to convert videos and phone calls, integrating speech recognition seamlessly into applications.

Free Report: C3 AI vs. Deepgram

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