The mortgage industry has no idea what AI actually means, and their understanding is polluted by platforms that merely pretend to perform AI functions.
What I'm describing here will change your life. And it'll be free.
NVIDIA's latest Grace-Blackwell architecture delivers enterprise-level artificial intelligence performance in a compact desktop system. This changes things considerably, and we were blessed with early access to a unit for testing.
I initially posted specifications, but it's not really necessary. What is important to know is that the unit performs up to 50- faster than even high-end desktop solutions. It's capable of processing models exceeding 200 billion parameters, and the unified memory eliminates CPU-GPU transfer bottlenecks with data processing and analytics. The real-time multi-channel noise isolation and speech synthesis is extremely fast, making video production and real-time phone calls a breeze. The unit is also capable of on-device training and retrieval-augmented generation.
Our focus was manufacturing a tool that completely replaced general support, but BeNet is more than that. All AI operations are performed locally and no data leaves the broker's environment. With low latency, BeNet can now more easily transcribe, summarise, and index client phone calls or video meetings (in seconds, and in real-time). It generates compliant notes and follow-up documentation automatically. It does everything you do... and does it faster with greater accuracy.
What we really love is the real-time speech-to-text transcription with domain-specific vocabulary. It handles multi-speaker separation and sentiment tagging.
BeNet provides a unified, on-premises AI environment that outperforms traditional or high-end PCs in compute density, data privacy, and latency. It enables mortgage professionals to perform advanced AI tasks using a fully owned and managed toolkit within their secure office network.
