Custom Setup
Hands-on voice agent design and deployment tailored to reseller use cases, customer scripts, branding needs, and operational requirements for faster launches.
Help your reseller business launch branded AI voice solutions faster with flexible deployment, multilingual support, and seamless integrations. Dograh AI enables partners to offer production-ready voice agents for sales, support, booking, and lead qualification while maintaining control over pricing, infrastructure, and customer data.
Flexible reseller-ready voice AI services for deployment, customization, automation, and ongoing optimization.
Hands-on voice agent design and deployment tailored to reseller use cases, customer scripts, branding needs, and operational requirements for faster launches.
Drag-and-drop tools and prebuilt templates help resellers design, test, and refine voice agents quickly without relying on heavy engineering resources.
Connect voice agents with CRM platforms and 200+ apps so leads, calls, bookings, and follow-up actions sync automatically across client workflows.
Deliver natural voice experiences across 70+ languages and accents, helping resellers serve diverse markets and expand into international customer segments.
Offer self-hosted, auditable deployments with no platform fees or licensing lock-in, giving reseller clients more control over infrastructure and compliance.
Provide fully managed private cloud deployments inside customer environments for data-sensitive accounts that require stronger control and sovereignty.
Dograh AI gives resellers a flexible foundation for packaging, deploying, and managing AI voice agents across multiple client accounts. From open-source self-hosting to managed cloud and private-cloud deployments, the platform supports branded delivery, fast customization, multilingual conversations, and deep integrations. That means you can launch faster, serve more industries, and retain stronger control over margins, data, and customer relationships.
See how teams use Dograh AI to launch and scale voice automation.
Resellers need a platform that is flexible, reliable, and easy to package for different client needs.
BSD-licensed platform gives resellers transparency, flexibility, and freedom from platform fees or lock-in.
Production-ready voice agents can be launched in minutes, helping partners shorten sales and onboarding cycles.
Support cloud, self-hosted, or private-cloud deployments for SMB clients and regulated enterprise accounts.
Built by exited founders and YC alumni with deep experience shipping scalable technology products.
Experienced builders behind flexible voice AI infrastructure.
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 voice agents for resellers are white-label or partner-delivered voice automation solutions that can be packaged and sold to end clients. With Dograh AI, resellers can offer voice agents for lead qualification, outbound calling, support, booking, and CRM workflows while choosing between cloud, self-hosted, or private-cloud deployment models.
Talk with our team about packaging and deployment options.
Founder-backed startup credibility and network.
Open-source flexibility with broad usage rights.
Supports secure enterprise deployment models.
Tell us about your reseller model, target clients, and deployment needs. We’ll help you map the right voice agent setup, integrations, and rollout approach.
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