AI receptionist India platform index
The AI receptionist platforms serving India, on published rate, billing unit, currency and languages — recording which of them publish no price at all.
Web table
Dvaarik Research is a collection of five free, dated resources for comparing AI voice products in India. The collection covers buyer pricing, white-label platforms, developer APIs, market statistics, and Dvaarik product facts. Vendor rows retain the native currency and billing unit shown by the source, identify what telephony or model costs are separate, and keep unavailable values as “Not published” instead of estimating them. Every asset shows its update date and links readers to the evidence used for that claim.
8
research datasets
109
dated rows and facts
9 Sept 2026
directory reviewed
Buyer comparisons
The AI receptionist platforms serving India, on published rate, billing unit, currency and languages — recording which of them publish no price at all.
Web table
Numbering routes, sender registration, consent records and concurrency, plus the three different pricing models outbound platforms use in India.
Web table
The five-step comment-to-DM mechanism, and tools serving India on free tier, paid price and channel scope — including where a single-channel tool beats us on price.
Web table
Named first-party prices for platforms serving India, preserving each vendor's native unit, telephony boundary, setup owner and checked date.
Web table, CSV and JSON
A source-linked comparison of public platform fees, usage rates, branding depth, subaccounts and supported channels for agencies.
Web table and source links
Developer research
Developer pricing compared by billing basis, included speech and model components, telephony, concurrency, open source and India support.
Web table, CSV and JSON
Evidence datasets
Dated statistics on voice AI, unanswered business calls, response time, mobile connections, languages and messaging, with named evidence.
Web dataset and source links
Short, scoped answers for Dvaarik pricing, billing, languages, channels and partner terms, each attached to a public source and checked date.
Web table, CSV and JSON
Vendor facts are read from current official pages and recorded with their native unit and check date. Missing public prices stay missing. Dvaarik facts are scoped to the relevant direct, partner, channel or developer product and link back to the current public source. Each child dataset states its own reuse licence; the directory does not assign one licence to every asset.