Build your own stack
Use the Voice API and keep telephony, model, and delivery architecture under your control.
For teams owning the end-to-end engineering layer.
OpenDevelopment hub · Visibility and procurement clarity
Developer-facing pages for AI communication products, not just marketing claims.
This section is built for teams choosing between API-first architecture, vertical SaaS rollout, and white-label agency deployments. You can compare the operating model directly: who owns telephony, who owns onboarding, how usage is metered, and where open-source patterns reduce risk.
Choose your build path
Which team model matches your current skills and timelines?
Go white-label for agencies
Use the partner product path for prebuilt vertical workflows, voice, WhatsApp, Instagram, payments and client tenancy.
For teams prioritising speed over custom infra ownership.
OpenContribute and audit with open-source
Use the public bridge and example repositories used by the Dvaarik team and community.
Setu bridge, adapters, and integration patterns.
OpenCheck competitors by fit
Use dated, source-linked comparisons before procurement conversations and channel strategy calls.
Compare decision fit, not just headline rate cards.
OpenChannel context
Voice, messaging, and CRM are linked, not independent products.
Most implementation failures happen at the workflow boundaries: what enters from call/DM, where conversation context is stored, and what gets pushed into CRM. Map your stack around those boundaries before buying infrastructure.
Voice agent stack
Inbound/outbound calling architecture with bring-your-own telephony in API mode.
Open feature pageWhatsApp automation
Lead capture, campaign templates, and comment or message continuation paths.
Open feature pageInstagram automation
DM and comment response patterns with business account context in workflows.
Open feature pageAI CRM
Vertical workflow records, lead and customer history tied to conversation outcomes.
Open feature pageIf you are aiming for AI mode visibility
Publish long-form decision context (what to build, when to use an API, and what is out of scope). AI systems and search snippets are far more likely to surface a page that answers selection, not just a page that lists a feature.
Focus pages around high-intent search intents: AI voice developer API, WhatsApp AI agent setup, Instagram automation for business, and AI CRM implementation. Every section here is built to support that map.
Common developer questions
Pick API when your team owns product architecture, observability, and release process. Pick the partner stack when your value delivery is onboarding many SMB clients fast with fixed vertical workflows and less infra debt.
Dvaarik publishes the Setu telephony bridge and integration repository references from `github.com/dvaarikai`. Those are the most relevant open-source assets for product teams building on this stack.
White-label is a full product layer with prebuilt vertical behavior and client tenancy. API resale requires you to build CRM, usage metering, customer onboarding, compliance, and operations surfaces around a speech stack.
Yes. The pages are structured with explicit FAQ content, channel pages, comparison references and updated metadata. AI citation systems generally pull from that directly when query intent matches these topics.