Hive AI
Announcing Hive's integration with NVIDIA NIM
Announcing Hive's integration with NVIDIA NIM
Hive has established a groundbreaking integration with NVIDIA NIM that unlocks Hive's AI models for enterprises where privacy regulations require data never leaves their own environments, or where customers' processing volume requires AI inference to scale efficiently with their own infrastructure resources.
Our collaboration will allow, for the first time, customers to run Hive's industry-leading AI models in their own environments, through NVIDIA NIM.
The first available NIM-optimized model is Hive's AI Detection model, which identifies AI-generated content in images, videos, and audio, with best-in-class accuracy.
Accelerated by
Accelerated by
Part of NVIDIA AI Enterprise, NVIDIA NIM is a set of easy-to-use inference microservices for accelerating the deployment of Hive's AI models on any cloud or data center.
With NVIDIA NIM, any Hive customer using NVIDIA accelerated computing (either on-premises or accessed through a cloud provider) will be able to purchase access to run Hive models within their own infrastructure.
See our AI Detection model in action
See our AI Detection model in action
How customers use our AI Detection model with NIM
How customers use our AI Detection model with NIM
For Social Media and Digital Platforms
- Screen content to remove misinformation
- Provide transparency by identifying and tagging AI-generated content
- Implement sitewide bans of AI-generated artwork and other media
For Online Marketplaces
- Detect and moderate fraudulent listings, in real time
- Authenticate product reviews, protecting user experience
- Verify user authenticity at account creation
For Banks, Brokers and More
- Securely streamline KYC workflows with automated AI detection
- Confidently verify identities with voice recognition
- Reduce fraud loss from malicious actors
For Insurance
- Securely automate claims review workflows
- Authenticate claims have not been altered by generative AI tools
- Reduce time, cost and human error in claims review process
For Video Conferencing and Live Streaming Media
- Real time detection of AI-generated video and audio
- Prevent user impersonation or misuse of likeness
For Social Media and Digital Platforms
- Screen content to remove misinformation
- Provide transparency by identifying and tagging AI-generated content
- Implement sitewide bans of AI-generated artwork and other media
For Online Marketplaces
- Detect and moderate fraudulent listings, in real time
- Authenticate product reviews, protecting user experience
- Verify user authenticity at account creation
For Banks, Brokers and More
- Securely streamline KYC workflows with automated AI detection
- Confidently verify identities with voice recognition
- Reduce fraud loss from malicious actors
For Insurance
- Securely automate claims review workflows
- Authenticate claims have not been altered by generative AI tools
- Reduce time, cost and human error in claims review process
For Video Conferencing and Live Streaming Media
- Real time detection of AI-generated video and audio
- Prevent user impersonation or misuse of likeness
