Undetectable.AI Cuts AI Detection Latency 95% with SambaCloud

From minutes to seconds: Meaningful change at scale for the content humanization platform

Case Study undetectable AI

Undetectable.AI offers a solution for discerning authentic content from AI-generated material in response to the proliferation of AI content in everyday communications and media. Serving a broad spectrum of markets, Undetectable helps large enterprises combat AI-driven fraud, assists HR and talent acquisition teams filter job applications, and improves the productivity of digital marketers generating SEO-friendly blogs.

Their Humanizer tool rewrites AI-generated text to pass as human-authored. The advanced content detection capabilities have positioned Undetectable.AI as a trusted partner for those who need to verify and humanize digital content at scale rapidly. Their recently released product TruthScan, helps enterprises scan for Deepfakes and AI fraud.

Challenge:

Users are able to upload text, images, or voice recordings to assess whether the material originated from humans or AI. Regardless of the technical complexity of the Undetectable platform, users expect quick, accurate insight into the provenance of content. 

However, Undetectable’s reliance on commercial GPU-based infrastructure made real-time performance nearly impossible. The analysis of a text sample could stretch up to three minutes each. Adding to the delay, the platform prioritizes accuracy by running four analyses per sample increasing the total user wait-time to 12 minutes. For enterprises dealing in large volumes of content, these bottlenecks left obstructed workflows and trust at risk. 

Solution:

Undetectable.AI's search for a high performance, efficient, and migration-friendly AI platform confirmed SambaCloud as the undeniable choice.

Testing the performance of the SambaCloud infrastructure proved transformative — a once three-minute analysis shrank to as low as five seconds. The multimodal process, formerly a twelve-minute ordeal, was completed in just 20 seconds. 

Additionally, the SambaNova Bring Your Own Checkpoint (BYOC) function made onboarding Undetectable’s advanced, fine-tuned models effortless, allowing the team to run their own custom, pre-trained models. 

Efficiency gains went hand-in-hand with sustainability; SambaCloud consumes an average of 10 kW per rack, helping Undetectable.AI achieve milestones in both environmental responsibility and operational excellence. The combined effect: More than 70% cost savings after switching from traditional GPU platforms, transformative speed, and empowered customers.

 

Ben Miller, COO of Undetectable.AI shares his experiences running his application on SambaCloud.

Undetectable AI in Action: detecting AI-generated content and humanizing it

15%

Most models get the right outcome the first time

SambaNova accelerates the performance for Undetectable models while helping achieve its environmental sustainability goals.

“SambaCloud delivered incredible speed and allowed us to use our own fine-tuned models – at a fraction of the cost of our previous platform.”

 

— Ben Miller, COO, Undetectable.AI

Related resources

SambaNova Expands Deployment with SoftBank Corp. to Offer Fast AI Inference Across APAC

SambaNova Expands Deployment with SoftBank Corp. to Offer Fast AI Inference Across APAC

March 5, 2025
Qwen3 Is Here - Now Live on SambaNova Cloud

Qwen3 Is Here - Now Live on SambaNova Cloud

May 2, 2025
SambaNova Partners with Meta to Deliver Lightning Fast Inference on Llama 4

SambaNova Partners with Meta to Deliver Lightning Fast Inference on Llama 4

April 7, 2025
Let's Go!