Open Source Deployment
Deploy self-hosted voice agents under the BSD 2-Clause License with full transparency, no platform fees, and complete control over infrastructure, customization, and compliance-sensitive workflows.
Build production-ready voice AI agents with open-source flexibility, low-latency orchestration, and developer-first tooling. Dograh AI helps teams launch self-hosted, cloud, or private-cloud voice agents fast, with MCP integrations, local model support, and auditable infrastructure that keeps control in your hands.
Explore core developer-focused services for building, deploying, and scaling advanced open-source voice AI agents.
Deploy self-hosted voice agents under the BSD 2-Clause License with full transparency, no platform fees, and complete control over infrastructure, customization, and compliance-sensitive workflows.
Connect Claude Code, Codex, OpenCode, Hermes, and similar agent platforms to build, configure, and launch voice agents faster inside existing developer workflows.
Use full-stack speech-to-speech orchestration with leading realtime models to reduce latency, improve reliability, and create more natural conversational voice experiences.
Bring your own LLM, STT, and TTS stack with support for locally hosted models like Whisper, Llama, Kokoro, Qwen, and more.
Run the entire voice agent infrastructure inside your own cloud environment while Dograh AI manages deployment, upgrades, orchestration, and reliability.
Design, test, and refine voice agents quickly with a drag-and-drop builder, prebuilt workflows, collaborative tools, and real-time analytics.
Dograh AI gives developers a practical way to build advanced voice agents without surrendering control to closed platforms. You can self-host under a BSD 2-Clause License, connect local models, integrate through MCP, and choose cloud or private-cloud deployment. The result is faster iteration, stronger data sovereignty, lower operational friction, and production-ready voice systems built around your stack.
See how teams use Dograh AI to launch reliable, scalable voice agents faster.
Dograh AI combines open infrastructure, developer tooling, and production-ready voice performance.
BSD-licensed platform with auditable code, no platform fees, and no vendor lock-in.
MCP support lets developers build and spin up agents directly from familiar tools.
Self-hosted and private-cloud options keep sensitive voice data inside your infrastructure.
Speech-to-speech orchestration cuts latency while improving conversational reliability and responsiveness.
Built by founders who understand developer pain firsthand.
Dograh AI was founded by Pritesh Kumar and Abhishek Kumar after firsthand frustration with rigid, closed Voice AI tools and low-code frameworks that still demanded heavy custom engineering. They built Dograh AI as an open-source alternative focused on speed, flexibility, and data control. Today, the platform supports appointment booking, inbound and outbound calling, and broader workflow automation through self-hosted OSS, managed cloud, and private-cloud deployments. The company’s vision is simple: businesses should be able to launch production-ready voice agents quickly, keep sensitive data within their own infrastructure, and avoid vendor lock-in. That builder-first mindset continues to shape Dograh AI’s product, support, and roadmap.
You can generate voice with text-to-speech, speech-to-speech, or hybrid systems that combine prerecorded clips with TTS. Dograh AI supports top STT and TTS providers as well as locally hosted models such as Whisper, Kokoro, Coqui, and more. That gives developers flexibility to optimize for realism, latency, cost, language coverage, and infrastructure control.
Talk with our team about architecture, deployment, and integrations.
Backed by proven startup pedigree
Open-source freedom for developers
Built for secure enterprise deployments
Share your use case, deployment needs, and integration goals. Dograh AI will help you evaluate the right open-source, cloud, or private-cloud path for your voice agents.
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