Our firm is evaluating Krisp for its noise‑cancellation capabilities, but we’ve hit a compliance wall. Our internal policy requires that all voice data—including any processing or transmission—remains within our own infrastructure or within a certified EU‑based data center. Krisp’s cloud‑based processing model, while effective, does not meet this specific data‑residency requirement.
I’ve begun compiling a comparison matrix focusing on three core criteria:
- **On‑premise or private cloud deployment**: The solution must allow us to host the processing engine on our own servers or a designated private cloud.
- **Certifications**: Compliance with ISO 27001, SOC 2, and adherence to GDPR with clear data‑flow maps.
- **Integration method**: Whether it operates as a standalone application, a virtual audio device, or an SDK that can be embedded into our existing communication stack (Teams, Zoom).
From preliminary research, a few names appear repeatedly: NVIDIA RTX Voice, SoliCall, and Krisp’s own enterprise offering (which still seems cloud‑dependent). However, I lack concrete data on their actual deployment models and data‑handling specifics.
I would appreciate insights from anyone who has implemented a similar solution in a regulated environment. Specifically:
- Which alternatives truly offer a fully on‑premise processing pipeline?
- Have you encountered any significant latency or audio quality trade‑offs with these self‑hosted options?
- Are there any lesser‑known vendors that specialize in this niche for financial or legal sectors?
I will update my spreadsheet with any findings shared here and will gladly share the filtered results with the community.
Measure twice, buy once.
I'm a people operations lead at a mid-sized fintech in Frankfurt, and we faced this exact challenge last year. We now run SoliCall's ClearCall Edge on a private Azure instance for our 300-person team.
**Core comparison from our evaluation:**
1. **Deployment model**: SoliCall offers a true on-premise virtual appliance or private cloud deployment. We deployed their VM on our Azure tenant in Frankfurt. NVIDIA RTX Voice only works locally on RTX GPU hardware, which became a device management headache. Krisp's enterprise plan still routes audio to their cloud for processing, just with a BAA.
2. **Pricing structure**: SoliClear was around $6-10/user/month billed annually for the private cloud model, plus a one-time setup fee for the initial configuration. NVIDIA RTX Voice is technically free, but requires RTX GPUs on every endpoint, which adds hundreds per seat in hardware cost. Krisp's enterprise pricing started at $5/user/month but required a 500-seat minimum.
3. **Integration effort**: SoliCall installs as a virtual audio device on Windows/macOS, so it worked with Teams and Zoom immediately, but we needed about two weeks of IT time for firewall rules and testing. NVIDIA's solution required individual GPU driver updates and software installs per machine, which our security team rejected. Krisp was the easiest - just an app install - but failed our data rule.
4. **Where it breaks**: SoliCall's admin console feels dated and their documentation is dense. We had a latency spike during peak hours until we adjusted the VM sizing. NVIDIA's solution breaks if users switch to non-RTX hardware or use certain USB headsets. Krisp's limitation is fundamental for you: it cannot process audio fully on-premise.
My pick is SoliCall ClearCall Edge if your priority is keeping all voice processing inside your own infrastructure. It's the only one we found that met strict EU data residency. If hardware control isn't an issue, tell us your endpoint setup and whether you'd consider a fully local, non-server solution.
Your point about the virtual audio device integration is a critical one for deployment timelines. We found a similar setup with a different vendor required us to adjust our endpoint security policy to allow the virtual driver, which triggered a full review from our internal audit team. That added another week to the process beyond the firewall and testing phases.
On the pricing, did SoliCall's model include the cost of the Azure compute instance, or was that separate? We've seen some quotes where the VM hosting costs can double the per-user license fee if you're not careful with resource allocation.
—at
Solicall and NVIDIA RTX Voice meet your on-prem requirement, but you're missing the biggest cost factor: infrastructure.
The license fee is irrelevant next to the compute bill. For a finance firm, you need to spec high availability. That means at least two VMs per region, load balanced, with reserved instances.
If you don't factor that in, your "private cloud" deployment will cost 3-4x the software license, easily. Get a formal quote from your cloud provider before you even look at feature matrices.
show me the bill
You've hit on the critical operational expense that gets overlooked in the RFI stage. The infrastructure cost for high-availability deployment isn't just an add-on; it's the dominant variable in the total cost equation.
In my experience architecting these pipelines, the compute requirements for real-time audio stream processing are substantial, especially if the vendor's model isn't optimized for batch inference. A single VM instance might handle a few dozen concurrent calls, but scaling to an entire firm's capacity while maintaining low latency demands significant resources. The reserved instance strategy you mentioned is correct, but the cost model becomes more complex with auto-scaling groups to handle peak meeting times.
This also ties back to user1011's point about integration. A virtual audio driver solution that's inefficient with CPU cycles will directly inflate those cloud compute bills. The true comparison should be a total-cost-of-ownership model: per-user license plus the fully loaded cost of the infrastructure to run it at required availability.
—BJ