Quick answer: As at 2 November 2026, Ringg AI publishes ₹6 ($0.10) per connected minute, self-serve, with telephony included, so 20,000 minutes a month costs about ₹1.42 lakh with GST. Gnani.ai publishes no price and quotes through sales, but offers on-premise and air-gapped deployment and its own speech models. Choose Ringg to start this week; choose Gnani for a regulated, multi-product contact centre.
“Gnani vs Ringg AI for voice agents” is the question a buyer asks once the shortlist is down to two Indian-built platforms. This page answers it from each vendor’s own pages only, read on 2 November 2026: what each sells today, how many languages each page names, what each publishes about price, how calls reach the agent, where it runs, which integrations it lists and how you try it. Where a vendor’s own pages disagree with each other, we print both.
Where Zian fits
If the job is answering inbound calls and following up leads until they book, Zian AI is our platform pick ahead of both: an AI receptionist that answers incoming calls 24/7, plus outbound follow-up by voice, SMS, email, WhatsApp, Instagram DMs and Facebook Messenger. If you would rather hand the whole job over, LeadsNow.ai is the done-for-you option.
Zian’s agents qualify, book, transfer and take messages on inbound calls, set appointments from inbound and outbound conversations, and handle answering machines and voicemail. SmartReach AI™ orchestrates message, channel and timing with follow-up pacing, and PrecisionPitch AI™ split-tests scripts and approaches continuously. The platform works in 30+ languages, supports voice cloning, integrates with HubSpot, Salesforce, HighLevel and Zapier, and can run private models on your own infrastructure. Its home page shows 50,769+ qualified sales appointments set and a 2,736% increase in lead contact rates. The honest limit: Zian is in a partnership-application beta and publishes no prices, so it does not belong in the per-minute arithmetic below.
LeadsNow.ai runs on Zian as a managed, pay-per-result appointment-setting service, answering leads in under 60 seconds, 24/7, with 50,769+ appointments set. Gnani and Ringg are both build-it-yourself platforms; the rest of this page is about choosing between them.
Gnani vs Ringg AI for voice agents: who should pick which
How we built this table. One rule for every row: a capability counts only if the vendor’s own website or documentation states it, read on 2 November 2026. Marketing counts (such as “40+ languages”) are reported as written, beside the narrower list the same vendor documents. A price counts as published only if it appears on a public page without sign-in. Zian and LeadsNow.ai are listed first by editorial policy and described only from what zian.ai publishes. Disclosure: zian.ai publishes this comparison and Zian appears in it.
| Pick | Best for | What it publishes on price (as at 2 November 2026) | Not the right choice when |
|---|---|---|---|
| 1. Zian AI (platform) | Inbound AI receptionist 24/7 plus outbound follow-up across voice, SMS, email, WhatsApp, Instagram and Messenger, booking appointments | No prices; partnership-application beta | You need a published per-minute rate before you talk to anyone |
| 2. LeadsNow.ai (done for you) | Teams that want booked appointments without building agents; pay-per-result, runs on Zian | Pay-per-result; no rate quoted here | You want to own and edit every agent yourself |
| 3. Gnani.ai | Regulated enterprises (banking, insurance, telecom) wanting cloud, private cloud, on-premise or air-gapped deployment, plus analytics, voice biometrics and agent assist from one vendor | No public rate; “quoted per deployment through sales” (Gnani’s own comparison page) | You must model unit cost before a sales call, or Odia is a core language (its speech docs list nine Indian languages, no Odia) |
| 4. Ringg AI | Teams that want to self-serve a voice, WhatsApp and chat agent this week on a published rupee rate | ₹6 ($0.10) per connected minute, pay as you go; number ₹499 ($5.99) a month | Call data may not reach outside model providers and you cannot buy the Enterprise private deployment (default cloud uses OpenAI and Gemini) |
The quotable version: Ringg is the platform you can price and switch on yourself today; Gnani is the platform you buy through a sales process when deployment control and a wider enterprise product set matter more than a published rate.
What Gnani and Ringg each sell today
Gnani’s product names have moved. Older Gnani material, and many roundups, talk about Inya and Automate365; the Inya page our October India comparison cited, gnani.ai/inya-workforce-automate365-ai, now returns 404. As at 2 November 2026, Gnani’s enterprise page sells four products: Agents, Analytics, Biometrics and Assist. Underneath sit its own models: Prisma for speech-to-text, Timbre for text-to-speech, Warp for speech-to-speech and Evon language models. Its Gnani vs Ringg page, dated 3 September 2026, adds Artha, a sovereign AI stack launched in August 2026, with an orchestration platform called Plexus that it says is “currently in early access”. The Inya name survives in the plumbing: the Agent Builder API’s base URL is api.inya.ai, per Gnani’s platform API docs.
The newest Gnani release in the last 90 days is Prisma v3.0, released on 22 October 2026 according to its speech API changelog. It is opt-in, detects the spoken language itself and adds a code-mixed output style; Prisma v2.5 stays the default. Gnani’s developer documentation splits into three parts: speech APIs you call from your own code, an Agent Builder console where you configure a voice agent, and an Agent Builder platform API that manages those agents from code.
Ringg AI, the trading name of Stoic AI Private Limited in Bengaluru (founded October 2023, per its about page), sells one agent that runs across voice calls, WhatsApp, and chat or web calls on your website or app; its pricing page also lists browser agents at ₹15 a minute, which its product menu marks “Coming soon”. Its own speech-to-text model is Parrot. Ringg’s changelog shows two releases in October 2026: Parrot updates on 7 October (lower latency and code-switching) and multi-node agent handoffs with conditional tools on 14 October. In Ringg’s workflow builder, an agent step can also run in chat mode over SMS or email.
In one sentence: Gnani is a model company with an agent product on top, whose agent console also offers third-party models; Ringg is an agent platform that owns its speech recognition and, in its default cloud, uses OpenAI and Gemini for the conversation.
How many languages do Gnani and Ringg support?
Neither vendor publishes one number that holds across all its pages, so the table shows what each page says. Our rule: a language is “documented” when it appears on a list in the vendor’s developer documentation, not only in a marketing count.
| Source page | Gnani.ai | Ringg AI |
|---|---|---|
| Marketing headline | “40+ languages and dialects”; enterprise page: “40+ languages including 12+ Indic languages” | “Ringg Agents inherently understand 20+ languages”, with 13 named on the home page, eight of them Indian |
| Speech recognition list | 10: English, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Punjabi, Tamil, Telugu (Prisma v2.5 and v3.0) | Parrot: Hindi, English and Hindi-English code-mixed, and it “understands” Gujarati, Bengali, Marathi, Tamil, Telugu, Kannada, Malayalam and Urdu |
| Voice output list | Timbre v3.0: 13 voices, each speaks “all 10 supported languages”; Timbre v2.5: 42 voices, one preferred language each | Voices come from several providers; the agent’s language list “comes from Ringg’s voice configuration, not a fixed list” |
| Mixing languages in one call | Prisma v3.0 detects the language and has a code-mixed output style | Primary plus optional secondary language; up to four additional recognition languages from 14 families (switches recognition to Soniox) |
| Where the vendor contradicts itself | Its API introduction says “10 Indian languages plus English”; its Ringg comparison names Odia in the recognition layer, and an August 2026 BFSI post says its STT API supports 12 languages including Odia and Assamese. The language list itself shows nine Indian languages and no Odia. | Parrot’s product page has no beta label and names eight more languages; Ringg’s Parrot SDK documentation says Parrot “is in beta” and transcribes Hindi and English |
What that means for a buyer: for the ten languages Gnani lists, Gnani documents recognition and voice per language on one model family, which is the easier thing to verify. Ringg’s coverage depends on the voice provider and recognition mode you pick, and its broader list (including Punjabi and Odia among its 13 voice-cloning languages, a feature that is off by default) needs testing combination by combination. Our comparison of 12 voice AI platforms for sales teams in India scores both against ten Indian languages on one rule; run your own test calls before you trust either count.
Gnani vs Ringg pricing: what each publishes
This is the sharpest difference between the two. Ringg prints a rate card in rupees and dollars. Gnani does not print one at all, and says so on its own comparison page: “Gnani pricing is quoted per deployment through sales, which is a real disadvantage for a buyer trying to model unit economics early.” Gnani’s developer console at app.gnani.ai has Pricing and Billing sections behind sign-in; we did not open an account, so we have not seen those rates.
| Item | Ringg AI (pay as you go, as at 2 November 2026) | Gnani.ai |
|---|---|---|
| Voice agent minute | ₹6 per connected minute ($0.10 in the US); speech-to-text, voice, language model, telephony and basic analytics included | Not published; quote through sales |
| Phone number | ₹499 a month ($5.99) | Not published |
| Concurrent calls | Five included; more “in blocks of five for Rs 1,995 per block” (pricing page); the billing guide’s example dialog shows ₹2,000 a month for five, and raising concurrency to a level not yet unlocked that month is charged at once at the full monthly rate, not prorated | Not published |
| Advanced analytics | ₹2 per call ($0.02) | Analytics sold as a separate product; price not published |
| Chat and WhatsApp agent | ₹2 per five-minute session ($0.03) | Not published |
| Speech-to-text API alone | ₹30 per hour ($0.35); Parrot page: ₹25 per hour above 500 hours | Not published on the public site |
| Billing unit | Pricing page: “prorated by the second”; billing guide: your rate card may show call cost “per 30 seconds pulse” | Not published |
| Tax and currency | “Final billed amounts may vary with prevailing exchange rates and taxes”; rupee top-ups pay 18% GST on top | Not published |
| Private deployment | Enterprise plan, “for an additional fee” | Offered (cloud, private cloud, on-premise, air-gapped); price not published |
| Leaving | “All customers should provide 30 days’ notice” | Not published |
Two Ringg limbs change real bills. If you bring your own telephony, your carrier bills you separately and “an integration charge may apply”; if you bring your own model keys, “a Ringg platform fee still applies”. Both are on the same pricing page as the ₹6 rate.
What Ringg costs a month at 2,000, 20,000 and 100,000 minutes
Ringg is the only one of the two with numbers to multiply, so here is its month, worked end to end. Ringg’s own pricing guide gives examples before tax at 1,000, 10,000 and 100,000 minutes; ours adds the two items its examples leave out, GST and extra concurrent lines.
Assumptions, so you can swap in your own: India pay-as-you-go rates; one Ringg number for the first two volumes and five for the third; calls placed in an eight-hour day, 22 days a month, with each line busy half the time. That gives 8 × 60 × 22 × 0.5 = 5,280 connected minutes per concurrent line per month.
| Step | 2,000 min | 20,000 min | 100,000 min |
|---|---|---|---|
| Minutes × ₹6 | ₹12,000 | ₹1,20,000 | ₹6,00,000 |
| Numbers × ₹499 | ₹499 (1) | ₹499 (1) | ₹2,495 (5) |
| Lines needed (minutes ÷ 5,280) | 0.38, so 1 | 3.79, so 4 | 18.94, so 19 |
| Extra concurrency (5 included; Rs 1,995 per five) | ₹0 | ₹0 | ₹5,985 (3 blocks to reach 20) |
| Total before GST | ₹12,499 | ₹1,20,499 | ₹6,08,480 |
| With 18% GST | ₹14,748.82 | ₹1,42,188.82 | ₹7,18,006.40 |
| Effective rupees per minute, with GST | ₹7.37 | ₹7.11 | ₹7.18 |
| US workspace, before tax | $205.99 | $2,005.99 | $10,029.95 plus concurrency (no US block price on the pricing page) |
If your workspace is charged the ₹2,000 per five shown in Ringg’s billing example instead, the 100,000-minute month is ₹6,08,495 before GST. Advanced analytics on every call adds ₹2 a call: at an average two-minute call, 10,000 calls and ₹20,000 more at the 20,000-minute volume. Ringg also says volume pricing is available for higher usage, that committed monthly or annual plans are available on request, and that teams handling over 1 million call minutes a month move to a quoted Enterprise plan, so read the 100,000-minute column as the pay-as-you-go list price, not a quote.
The figure most teams under-estimate is minutes, not the rate: ringing and failed calls are free on Ringg, but silence and hold time are billed, and voicemail is charged while the agent is on the line. Our guide to why an AI voice agent bill comes in above minutes times the rate lists the other usual gaps. For Gnani, the only honest version of this table is a request: ask for a quote at the same three volumes, with the same assumptions, and put it in the empty column.
Want inbound calls answered and leads followed up without building the agent yourself? Zian AI answers calls 24/7 as an AI receptionist and follows up by voice, SMS, email, WhatsApp, Instagram and Messenger, booking appointments into your calendar. Zian is in a partnership-application beta.
Telephony, Indian numbers and TRAI’s 140-series
An Indian sales call has to come from the right number, and neither platform files that paperwork for you. TRAI’s September 2026 amendment states that the “140xx series has already been mandated for promotional calls by all the registered Senders and Telemarketers” (TRAI, 18 September 2026). Our guide to AI cold calling under TRAI’s rules walks through registration, number series, consent and the robo-call definition; this section is only about how each platform connects to the number you end up with.
| Question | Gnani.ai | Ringg AI |
|---|---|---|
| Numbers sold by the vendor | Not described in the agent docs we read | Ringg-provided numbers through Plivo and Vobiz, ₹499 a month |
| Bring your own carrier | Import Twilio numbers (docs); a Webex Contact Center guide; a January 2025 Automate365 post names Genesys, Avaya and Ameyo | Exotel, Plivo, Twilio, Telnyx, InTalk, Ozonetel, Mcube, Tata Tele, Vobiz, VoiceLink, Maqsam, Ameyo over SIP, or any SIP trunk (docs) |
| Testing before you buy a number | Whitelist your own number by OTP, then trigger a test call | Shared test numbers; the +91 test number calls Indian numbers only |
| What the vendor says about DLT | Gnani’s blog describes TRAI rules on outbound calling, consent and DND registers (compliance checklist, 28 February 2026); we could not find a Gnani page saying it registers numbers or handles DLT for you, as at 2 November 2026 | “You still own registration, consent and number allocation with your operator.” (Ringg India guide) |
The practical test is the same for both: ask the vendor to place a call to you from a 140-series number on your own DLT-registered account, through the carrier you will use in production. Ringg lists more Indian carriers by name in its own documentation; Gnani’s agent docs name fewer, and its enterprise page says it fits into existing “CRM, CCaaS, telephony, and enterprise tools”, which you should turn into a named carrier in writing.
Where each runs and what each says about compliance
These are the vendors’ own claims, quoted, not our endorsement. Ask each for the certificate and the region in writing before any customer data goes through it.
| Question | Gnani.ai (own words) | Ringg AI (own words) |
|---|---|---|
| Deployment options | “Cloud, Private Cloud, On-Premise, Air-Gapped” | Ringg cloud by default; private cloud or on-premise on the Enterprise plan “for an additional fee” |
| Regions named | Agent hosting regions: Asia, Americas, Europe (Get Regions) | “India, GCC, United States, Europe, on-premise or your private cloud”; in-region setups are enterprise options |
| Certifications stated | “Gnani is SOC 2 certified, ISO 27001 certified, and compliant with GDPR, HIPAA, and PCI-DSS.” | “SOC 2 Type II audited and ISO 27001 certified”; supports HIPAA and GDPR workflows and signs a BAA, DPA or SCCs |
| Who processes the conversation | Its llms.txt says the stack is developed in-house “with no dependency on third-party model providers”; its Agent Builder docs also list OpenAI and Anthropic language models and Deepgram and Microsoft speech recognition as selectable providers beside Gnani’s own (Get LLM Models) | “By default, OpenAI and Gemini process conversational data”; private deployments host a small language model, Parrot and a voice model in-house |
For a bank or insurer whose policy keeps call data inside its own walls, both vendors offer a route; Ringg prices it as an Enterprise add-on, and Gnani lists it among its deployment options without a published price. A buyer with no such policy can start in Ringg’s default cloud, and should record that two outside model providers see the conversation. On Gnani, check which language model and recognition provider your agent is set to, because its console offers third-party models as well as its own.
Integrations and how to try each one
Ringg’s home page lists Google Sheets, Slack, Typeform, Gmail, Shopify, Salesforce, Calendly, Zoom, Notion, Stripe, HubSpot and Airtable, and its llms.txt adds the Shopify App Store and Zapier. Agents can send WhatsApp templates during or after a call. To try it, you sign up, build an agent and use the free credits Ringg says every account includes; Ringg does not state the amount. Topping up needs company details (KYC) first, and an unverified number you call in testing gets a WhatsApp code.
Gnani’s agent documentation covers Twilio SMS, Zoho CRM, email, Zoho ticketing, custom HTTP integrations and Webex Contact Center (integrations guide). The logo strip on its enterprise page also shows Salesforce, Zendesk, SAP, Oracle, Five9, Cisco, Avaya and Shopify. Its public routes in are Start Building, a developer console for the speech APIs, and Book a Demo for the enterprise products. The Webex guide says “the Gnani team will handle credit setup”, which tells you that, on Webex at least, credits are set up by Gnani’s team rather than self-served.
The short version: Ringg names more off-the-shelf SaaS tools and lets you start alone; Gnani names more contact-centre and enterprise systems and expects a conversation first.
Who each platform is wrong for
- Gnani.ai is wrong if you need a published price before procurement, if Odia is a core language (its speech docs list nine Indian languages and no Odia, though its comparison page and an August 2026 BFSI blog post name Odia), or if you need its hosted agent region labelled India rather than Asia (its API docs list Asia, Americas and Europe; for in-country residency it offers private cloud, on-premise or air-gapped deployment).
- Ringg AI is wrong if your policy bars call data from reaching outside model providers and you cannot buy its Enterprise private deployment, if you need more than five simultaneous calls without paying for extra blocks, or if you need the standalone Parrot speech-to-text SDK out of beta (its SDK docs say Parrot “is in beta” and cover Hindi and English, while Ringg’s 7 October 2026 changelog says Parrot now runs “across every voice agent”).
- Both are wrong if you want someone else to run the calls and deliver booked appointments; that is a managed service such as LeadsNow.ai, not a platform.
Whichever you shortlist, run the same test: 200 of your own recorded calls in your own languages, a test call from your registered 140-series number, and the month cost at your real volume with GST added.
Frequently asked questions
Is Ringg AI cheaper than Gnani?
Nobody can say from public pages alone. As at 2 November 2026, Ringg publishes ₹6 ($0.10) per connected minute on pay as you go, with telephony and its speech and language models included. Gnani publishes no per-minute rate; its own comparison page says Gnani pricing is “quoted per deployment through sales”. Ask Gnani for a quote at your real monthly minutes and compare it with Ringg’s published total, including GST and extra concurrency.
How much does Ringg AI cost per month?
At Ringg’s published India rates, 20,000 connected minutes on one number costs ₹1,20,499 before tax, or ₹1,42,188.82 with 18% GST, which Ringg’s billing documentation adds to rupee top-ups. Your account includes five concurrent calls; more cost Rs 1,995 per block of five on the Ringg pricing page. Advanced analytics adds ₹2 per call.
How many languages does Gnani support compared with Ringg?
Gnani’s marketing pages say 40+ languages, including 12+ Indic languages, while its speech API documentation lists ten: English plus nine Indian languages, with no Odia. Ringg’s home page says its agents understand 20+ languages and names eight Indian ones. Ringg’s documentation lets an agent recognise up to four additional languages from 14 language families.
Can Gnani or Ringg run on-premise in India?
Both say yes for enterprise buyers. Gnani lists cloud, private cloud, on-premise and air-gapped deployment. Ringg lists India, the GCC, the United States and Europe as regions, plus on-premise or private cloud, and calls in-region and on-premise setups enterprise options available for an additional fee. Get the region named in your contract.
Do Gnani and Ringg handle DLT registration and 140-series numbers for me?
Neither page we read says so. Ringg’s India compliance guide says: “You still own registration, consent and number allocation with your operator.” Gnani’s agent documentation describes importing Twilio numbers. TRAI says the 140xx series is mandated for promotional calls by registered senders, so register before you test a sales campaign.
Is there a free trial of Gnani or Ringg?
Ringg says it is self-serve and that every account includes free credits, without stating an amount. Gnani’s public site offers a Start Building developer console for its speech APIs and a Book a Demo route for its enterprise agents; we did not find a published free-credit amount for Gnani’s voice agents.
Comparing voice agent platforms for sales and reception? Zian AI answers inbound calls 24/7 and runs outbound follow-up across voice, SMS, email, WhatsApp, Instagram and Messenger in 30+ languages, with HubSpot, Salesforce, HighLevel and Zapier integrations. Zian is in a partnership-application beta.
Where every figure on this page comes from
| Figure | Who published it | Link | Date read |
|---|---|---|---|
| ₹6 ($0.10) per connected minute; ₹499 ($5.99) number; ₹2 ($0.02) advanced analytics; ₹2 ($0.03) chat session; ₹30 ($0.35) STT hour; five concurrent calls; Rs 1,995 per five; prorated by the second; 30 days’ notice; integration charge; platform fee with own keys; committed monthly or annual plans on request | Ringg AI | www.ringg.ai/pricing | 2 November 2026 |
| Worked examples at 1,000, 10,000 and 100,000 minutes; volume pricing for higher usage; over 1 million minutes a month moves to Enterprise | Ringg AI | www.ringg.ai/ai-voice-agent-pricing | 2 November 2026 |
| 18% GST on rupee top-ups; “per 30 seconds pulse”; ₹2,000 for five concurrent calls (example dialog) | Ringg AI | docs.ringg.ai/documentation/manage-account/billing | 2 November 2026 |
| Parrot languages; ₹25 per hour above 500 hours | Ringg AI | www.ringg.ai/models/speech-to-text | 2 November 2026 |
| Parrot “is in beta”; Hindi and English SDK | Ringg AI | docs.ringg.ai/documentation/ringg-labs/parrot-stt/python-sdk | 2 November 2026 |
| “20+ languages”, 13 named; integrations list | Ringg AI | www.ringg.ai/ | 2 November 2026 |
| Up to four additional languages from 14 families; 13 voice-cloning languages; language list not fixed | Ringg AI | docs.ringg.ai/documentation/build-agents/customize-agent-behaviour/voice-and-language | 2 November 2026 |
| Ringg-provided numbers via Plivo and Vobiz; +91 test number | Ringg AI | docs.ringg.ai/documentation/inventory/phone-numbers/overview | 2 November 2026 |
| Bring-your-own carrier list | Ringg AI | docs.ringg.ai/documentation/inventory/phone-numbers/your-own-telephony/byot-overview | 2 November 2026 |
| SOC 2 Type II, ISO 27001, HIPAA, GDPR; regions; OpenAI and Gemini by default | Ringg AI | www.ringg.ai/security | 2 November 2026 |
| Private deployment on the Enterprise plan for an additional fee | Ringg AI | www.ringg.ai/private-ai-voice-agents | 2 November 2026 |
| “You still own registration, consent and number allocation” | Ringg AI | www.ringg.ai/voice-ai-compliance-india | 2 November 2026 |
| Releases on 7 and 14 October 2026 | Ringg AI | www.ringg.ai/changelog | 2 November 2026 |
| “40+ languages and dialects”; deployment options; certifications | Gnani.ai | www.gnani.ai/ | 2 November 2026 |
| “40+ languages including 12+ Indic languages”; channels; four products; integration logos | Gnani.ai | www.gnani.ai/enterprise | 2 November 2026 |
| “Quoted per deployment through sales”; Artha, Plexus early access; Odia named | Gnani.ai | www.gnani.ai/resources/blogs/gnani-ai-vs-ringg-ai | 2 November 2026 |
| Ten speech-to-text languages | Gnani.ai | docs.gnani.ai/api/STT/languages | 2 November 2026 |
| Timbre v3.0 13 voices, Timbre v2.5 42 voices | Gnani.ai | docs.gnani.ai/api/TTS/available-voices | 2 November 2026 |
| “10 Indian languages plus English” | Gnani.ai | docs.gnani.ai/api/introduction/introduction | 2 November 2026 |
| Prisma v3.0 released 22 October 2026 | Gnani.ai | docs.gnani.ai/api/introduction/changelog | 2 November 2026 |
| Regions Asia, Americas, Europe | Gnani.ai | docs.gnani.ai/Platform/Get_Regions | 2 November 2026 |
| Twilio number import | Gnani.ai | docs.gnani.ai/M16x_Import_Number | 2 November 2026 |
| Integrations: Twilio SMS, Zoho, email, custom | Gnani.ai | docs.gnani.ai/M03_Integrations | 2 November 2026 |
| “The Gnani team will handle credit setup” | Gnani.ai | docs.gnani.ai/D06_Webex | 2 November 2026 |
| Genesys, Avaya, Ameyo (5 January 2025) | Gnani.ai | www.gnani.ai/resources/blogs/integrations-simplified-with-gnani-ais-automate365 | 2 November 2026 |
| TRAI rules on outbound calling, consent and DND registers (28 February 2026) | Gnani.ai | www.gnani.ai/resources/blogs/intelligent-systems-compliance-checklist-for-regulated-industries | 2 November 2026 |
| STT API “supports all 12 Indian languages relevant to BFSI”, including Odia and Assamese (8 August 2026) | Gnani.ai | www.gnani.ai/resources/blogs/blog-speech-recognition-bfsi-india-banking-compliance | 2 November 2026 |
| Agent Builder API base URL api.inya.ai | Gnani.ai | docs.gnani.ai/Platform/platform-introduction | 2 November 2026 |
| OpenAI and Anthropic models, Deepgram and Microsoft recognition selectable in Agent Builder | Gnani.ai | docs.gnani.ai/Platform/Get_LLM_Models | 2 November 2026 |
| Stoic AI Private Limited, Bengaluru; founded October 2023 | Ringg AI | www.ringg.ai/about | 2 November 2026 |
| 140xx series mandated for promotional calls | TRAI | www.trai.gov.in/sites/default/files/2026-09/Regulation_18092026.pdf | 2 November 2026 |
| 50,769+ appointments; 2,736% increase in lead contact rates; 30+ languages | Zian AI | zian.ai home page counters and brand facts | 2 November 2026 |
| Ringg arithmetic at 2,000, 20,000 and 100,000 minutes (assumptions stated above the table) | Zian AI, from Ringg’s published rates | this page | 2 November 2026 |