Your Voice AI Sends Patient Data
to Someone Else's Servers

Dograh is the open-source voice agent platform that runs on your infrastructure. HIPAA and PCI-DSS compliant by architecture, not by contract. No call data leaves your servers. No per-minute fees.

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$80B

Contact center labor cost reduction predicted for 2026

Source: Gartner

90-95%

Cost reduction per call with AI vs human agents

Source: Cuberoot.ai

60-70%

IVR caller abandonment before resolution

Source: Osmosian Tech

$10.3M

Saved over three years (391% ROI)

Source: Forrester via Kore.ai

SaaS Voice AI Is a Compliance Liability in Regulated Industries

Every SaaS voice AI platform processes your calls on their servers. Patient health information, credit card numbers, account details -- all flowing through infrastructure you do not own, cannot audit, and cannot guarantee meets your compliance obligations. A BAA or DPA does not change who physically holds the data.

Self-Hosted on Your Servers

Deploy on your own infrastructure -- bare metal, private cloud, or air-gapped environments. Call audio never touches external servers.

HIPAA & PCI-DSS Ready

Compliance is architectural, not contractual. No BAA negotiation needed when data never leaves your perimeter. Full control over PHI and PII handling.

No Per-Minute Fees

SaaS platforms charge $0.05-0.10 per minute. At 1,000 minutes/day, that is $18-36k/year. Dograh costs infrastructure only -- your costs stay flat as volume grows.

Data Sovereignty

Call recordings, transcripts, and customer PII stay in your jurisdiction. Meet data residency requirements for GDPR, provincial health acts, and state-level regulations.

Full Audit Trail

Every call event, transcript, and agent decision is logged on infrastructure you control. Produce audit evidence instantly for compliance reviews -- no vendor dependency.

Open Source (BSD-2)

Inspect every line of code that handles your regulated data. No black boxes. Your security team can audit the entire voice pipeline before deployment.

Dograh vs SaaS Voice AI Platforms

Compliance Feature	Dograh	SaaS Platforms
Call data stays on your servers	✓	✗
HIPAA compliant by architecture	✓	BAA required
PCI-DSS scope reduction	✓	Expands scope
Full source code audit	✓	✗
Air-gapped deployment	✓	✗
Data residency control	✓	Limited regions
No per-minute fees	✓	$0.05-0.10/min
Vendor-independent audit trail	✓	Vendor-controlled

Built for Industries Where Data Breaches Cost Millions

Healthcare

Patient intake, appointment scheduling, prescription refill lines, post-discharge follow-ups. All call audio containing PHI stays on your HIPAA-compliant infrastructure. No third-party processor to add to your risk assessment.

Financial Services

Account inquiries, fraud alerts, payment processing, loan status. Cardholder data and account numbers handled entirely within your PCI-DSS scope. Self-hosting removes the SaaS vendor from your compliance boundary.

Stop Sending Regulated Data to Third-Party Servers

Dograh is open-source, self-hosted, and built for teams that cannot compromise on data sovereignty.

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Frequently Asked Questions

Is Dograh HIPAA compliant out of the box?

Dograh is self-hosted, which means all call data -- recordings, transcripts, and metadata -- stays on infrastructure you control. HIPAA compliance depends on your deployment environment (encryption at rest, access controls, audit logging), but Dograh eliminates the biggest risk: sending PHI to a third-party processor. You do not need a BAA with Dograh because there is no data transfer.

How does self-hosted voice AI handle PCI-DSS requirements?

When you self-host, the voice AI system operates within your existing PCI-DSS scope rather than expanding it to include a SaaS vendor. Cardholder data spoken during calls is processed and stored on your compliant infrastructure. With SaaS platforms, the vendor becomes part of your cardholder data environment, adding complexity to every audit.

Can I deploy Dograh in an air-gapped environment?

Yes. Dograh runs entirely on your infrastructure with no required outbound connections to Dograh servers. For LLM inference, you can use locally-hosted models or connect to your own API endpoints. The telephony layer connects via your SIP trunks. Government and defense organizations use this deployment model for classified environments.

What is the cost difference between self-hosted and SaaS voice AI for regulated industries?

SaaS voice AI platforms charge $0.05-0.10 per minute. At 1,000 minutes per day, that is $18,000-36,000 per year in platform fees alone. Self-hosted Dograh costs only your compute and telephony infrastructure. For regulated industries, you also avoid the compliance overhead of managing a third-party data processor -- audits, BAAs, and vendor risk assessments all add hidden costs that disappear with self-hosting.

Does self-hosting mean I need a dedicated ML engineering team?

No. Dograh provides a visual drag-and-drop workflow builder, pre-built integrations, and production deployment tooling. A senior full-stack developer can deploy and manage it. You are not building voice AI from scratch -- you are deploying a production-ready platform on your own servers. The ML models (STT, LLM, TTS) run as services that Dograh orchestrates.

How do I produce audit evidence for compliance reviews?

Every call event, agent decision, and transcript is logged locally. You query your own database to produce audit trails -- no support tickets to a vendor, no waiting for data exports, no concerns about log retention policies you do not control. Your compliance team has direct access to the evidence they need.

Can I migrate from a SaaS voice AI platform to Dograh without downtime?

Yes. Dograh connects to standard SIP trunks, so you can run both platforms in parallel during migration. Route a percentage of calls to Dograh while keeping your existing SaaS platform active, then shift traffic as you validate performance. Your phone numbers and carrier relationships stay the same throughout.

Solutions by Dograh

Self-Hosted Voice AI for Regulated Industries