Custom Setup
Hands-on design and deployment of tailored voice agents built around your scripts, workflows, business logic, and operational goals for faster production readiness.
Build production-ready AI and voice agents with flexible deployment, low-latency conversations, and full control over your data. Dograh AI helps businesses launch custom voice workflows, automate calls, integrate with existing systems, and scale securely through open-source, cloud, or private-cloud environments.

From custom builds to deployment and optimization, Dograh AI delivers end-to-end voice agent capabilities for modern businesses.
Hands-on design and deployment of tailored voice agents built around your scripts, workflows, business logic, and operational goals for faster production readiness.
Create, test, and refine voice automation with a drag-and-drop builder, prebuilt templates, collaborative tools, and real-time visibility into agent behavior.
Connect voice agents with CRM platforms and 200+ apps so leads, calls, bookings, and conversation data sync automatically into existing workflows.
Use full-stack speech-to-speech orchestration to reduce latency, improve conversational reliability, and deliver more natural real-time voice interactions.
Deploy complete voice agent infrastructure inside your own cloud environment while Dograh AI manages orchestration, upgrades, reliability, and operations.
Reduce manual review time with post-call analysis covering sentiment, miscommunication detection, activity tracking, and adherence checks across conversations.
Dograh AI develops AI and voice agents that are fast to launch, practical to customize, and built for real operational use. Businesses can choose open-source, cloud, or fully managed private-cloud deployments while integrating CRMs, calendars, telephony, and local models. The result is scalable voice automation with stronger data sovereignty, lower latency, and fewer platform constraints.

See how businesses use Dograh AI to automate calls, improve workflows, and scale voice operations.
Dograh AI combines technical flexibility with production-ready execution for serious voice automation projects.
BSD-licensed platform gives you auditable code, no platform fees, and no vendor lock-in.
Production-ready voice bots can be deployed in under two minutes with flexible build options.
Self-hosted and private-cloud deployments keep sensitive voice data within your infrastructure.
Built by exited founders and YC alumni with deep experience shipping scalable technology products.
Experienced builders behind scalable voice automation.
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.
AI and voice agent development services help businesses design, build, deploy, and optimize automated voice systems that can answer calls, qualify leads, book appointments, support customers, and integrate with internal tools. Dograh AI provides custom setup, workflow building, CRM integrations, multilingual support, analytics, and deployment options including cloud, open-source self-hosting, and fully managed private cloud.
Talk with our team about your use case and deployment options.
Founder-backed startup pedigree and credibility.
Open-source licensing for flexible adoption.
Built for secure, sovereign infrastructure.
Share your goals, workflows, and deployment needs. Our team will review your use case and recommend the right path for building and launching voice automation.
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