Murf Falcon On-Prem: Voice AI Without Compromise

In enterprise environments, data privacy isn’t optional, and speed is everything.
Whether it’s a bank handling customer KYC, a hospital processing medical voice notes, or a government agency safeguarding classified audio, many organizations can’t afford to send sensitive information outside their network, even to the cloud.
This is where Murf Falcon On-Prem comes in.
It’s our enterprise-grade text-to-speech (TTS) solution built to run inside your infrastructure, in your private cloud or your own data center, without compromising on performance, security, or control.
What Is On-Premise Deployment in Voice AI?
In simple terms, on-premise (or self-hosted) deployment means running software on infrastructure you control - not your vendor’s servers.
For voice AI, this is significant. On-prem deployment ensures that text prompts and generated audio never leave your environment. Whether you're running inside a VPC on AWS or Azure, or on bare metal hardware in your data center, on-prem setups give you end-to-end control.
Murf Falcon’s on-premise model supports both: Customer-owned cloud (VPC) for enterprises that require the felxibility and scalability of the cloud while maintaining strict boundaries around data and compute. hard boundaries around data and compute. And private data centers, for enterprises that need full architectural flexibility and control to deploy Falcon within their own onpremise infrastructure.
Why Murf Built Falcon for On-Premise Deployment
As demand for real-time, human-like voice generation grows across sectors, many companies face a familiar dilemma:
“We want cutting-edge voice AI - but our compliance and security teams won’t approve a cloud service.”
That’s why we built Murf Falcon On-Prem from the ground up to deliver the same powerful speech capabilities as our cloud platform, but packaged for self-hosting. It lets enterprises deploy high-fidelity, real-time voice generation within their walls, with zero data egress and full control over how, where, and when TTS is used.
Who Needs This the Most?
On-prem deployment isn’t for everyone. However, for data-sensitive sectors, it’s essential.
1. Financial Services: Banks, insurance firms, and fintechs use on-prem voice AI to deliver real-time service (like balance updates or loan info) without risking exposure of sensitive financial data.
2. Healthcare & Telemedicine: Hospitals process PHI through voice notes, prescriptions, lab results. On-prem TTS helps keep this data inside HIPAA-compliant infrastructure.
3.Government & Public Sector: Agencies often require sovereign deployment, where voice data and models stay in-country and within government controlled networks.
Why Enterprises Prefer Voice AI On-Premise
Here’s why an increasing number of enterprise teams are shifting to self-hosted voice platforms:
1. Data Sovereignty & Privacy: With Falcon On-Prem, no audio or text leaves your environment. This simplifies compliance with internal policies, as well as external regulations like GDPR, HIPAA, or EBA outsourcing guidelines.
2. Ultra-Low Latency: Falcon delivers 100ms end-to-end latency, ensuring lightning-fast performance for real-time IVRs, digital assistants, or in-product narration - without the jitter or delay of internet routing.
3. Security & Risk Mitigation: Your team manages keys, access control, and network policies. There’s no dependency on third-party services for core voice infrastructure.
4. Operational Control: With self-hosting, you control update schedules, scaling patterns, and infrastructure choices. You're not locked into a vendor’s roadmap or downtime window.
5. Cost Efficiency at Scale: Enterprises running large or steady workloads can realize up to 30% savings in total cost of ownership (TCO) compared to per-character cloud billing.
How Murf Falcon On-Prem Works
We’ve made deployment as enterprise-friendly as possible.
1. Provision: You receive a containerized, Kubernetes-ready TTS engine with configs tailored for your environment - be it a private cloud, VPC, or on-prem server.
2. Integrate: Your applications call Falcon over REST or WebSocket APIs - same as our cloud. This means minimal code changes for teams already using Murf.
3. Inference & Streaming: All processing happens locally, with real-time audio streamed at sub-100ms latency, depending on your computing setup.
4. Monitor & Scale: Use your internal observability stack to monitor and horizontally scale Falcon. We provide guidance on autoscaling and GPU optimization.
5. Update on Your Schedule: You decide when to install updates. We ship periodic performance and model upgrades, but you stay in control.
Key Capabilities at a Glance
How to Evaluate On-Prem Voice Platforms
If you're considering on-prem TTS, here are a few factors to consider:
- Can the platform run in your environment?
- How’s the real-time performance (130 ms latency under load)?
- Are updates manual or forced?
- What integration effort is required?
- Does pricing scale with usage or support predictable budgeting?
- How customizable are the voices (tone, pronunciation, domain)?
Murf Falcon checks all of the above. But we always recommend starting with a pilot or proof-of-concept, so you can test latency, voice quality, and integration firsthand. You shouldn’t have to choose between privacy and performance. With Murf Falcon On-Prem, you get a battle-tested, developer-friendly TTS engine that gives you:
- Real-time voice generation
- Full data sovereignty
- Deep customization
- Predictable performance
- Seamless integration
All from within your infrastructure. If you’re building secure voice apps for finance, healthcare, government, or enterprise tools, this is the stack you’ve been waiting for.
Ready to try Murf Falcon On-Prem?
Let’s scope your infrastructure and show you how Falcon fits in.



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