Rasa Alternative in India: Hosted, No-Code, BYOK AI

Updated 2026-09-19 · 5 min read · By the Convo360 team

Who looks for a Rasa alternative

Teams that built or seriously evaluated an open-source NLU framework usually did it for two reasons: data control and avoiding vendor lock-in. Both are legitimate, but the generic trade-offs that later prompt a look at hosted alternatives are: the ongoing engineering cost of training intents, hosting the runtime, and maintaining channel connectors; the time-to-first-answer for a new bot being measured in weeks of NLU training data rather than a same-day knowledge-base upload; and wanting WhatsApp and voice calling as first-class channels rather than integrations to build and maintain separately.

This comparison usually comes up during a build-vs-buy review — see building vs buying a chatbot in India for the broader framing.

None of this needs to happen overnight. Most teams run the two platforms side by side for a week or two on a subset of contacts, checking that AI reply quality meet their bar, before pointing all live traffic at the new setup.

What Convo360 is

Convo360 (convo360.ai) is an India-first platform for AI voice calling and WhatsApp / omnichannel chatbots, built by A Plus Solution in Mumbai. It runs on a Bring Your Own Keys (BYOK) model: you connect your own OpenAI, Anthropic Claude or Google Gemini account, your own WhatsApp Business number and your own telephony account, and Convo360 adds zero markup on messages, minutes or AI tokens. A no-code Visual Flow Builder covers chat, voice, CRM, forms and integrations under one login, with plans starting at ₹999/month (ex-GST).

Because everything runs from one login, a founder or ops manager can check chat volume, AI voice call outcomes, CRM stage and campaign performance in a single analytics view, instead of stitching reports together from two or three separate tools.

Convo360 is not affiliated with Rasa; all trademarks belong to their owners.

Comparing the models

The comparison below isn't about which brand is "better"; no-code bot builders in this category are all capable tools. It's about two different pricing and access models, so you can check which one fits how your bot is actually used day to day.

Read the left column as a description of a common pricing pattern in this software category, not a claim about any one brand's current plans; always check a vendor's own pricing page for what they actually charge today.

What you get on Convo360

Convo360 keeps the part that matters most from an open-source evaluation — you choose and control the underlying AI model, per agent, using your own OpenAI, Anthropic Claude or Google Gemini key — while replacing custom NLU training with a knowledge base (upload documents or URLs for RAG answers) that a non-engineer can maintain. WhatsApp, Instagram, Messenger, website chat and AI voice calling are already built and hosted, with a Visual Flow Builder for the surrounding logic (buttons, conditions, webhooks, HTTP requests for anything custom).

How to migrate from Rasa

Moving off Rasa is mostly a data-and-rebuild exercise, not a rewrite:

1. Export your contacts, custom fields and tags from Rasa as a CSV, or use it directly if Rasa already gives you a download.
2. Import that CSV into Convo360's contacts, mapping fields into custom fields and tags into groups.
3. Rebuild your automations in the Visual Flow Builder — most teams recreate a flow using the same block logic (Send Message, AI Reply, Buttons, Condition) in well under a day.
4. If you're on WhatsApp already, connect your existing number via embedded signup and re-submit your message templates for Meta approval on your own WhatsApp Business Account (WABA) — approval is usually quick for templates you've run before.
5. Use Preview / Try-it to dry-run the new flow before switching your live traffic over.

Keep your old bot paused rather than switched off entirely until you've watched the new one handle a full day of real traffic without surprises.

What it costs

Where an open-source framework's real cost is engineering and hosting time rather than a licence fee, Convo360's cost is a flat monthly platform fee (₹999 / ₹2,999 / ₹7,999 ex-GST) plus your own AI provider's usage rate, paid directly with no Convo360 markup. Weigh that against your actual all-in cost of hosting, maintaining and training an in-house framework, not just against Rasa's own published pricing page for its hosted or enterprise tiers.

Paying yearly instead of monthly saves roughly 10% (₹10,789 for Starter, ₹32,389 for Pro, ₹86,389 for Business, per year, ex-GST) if you'd rather budget it once and not think about it again.

Who should not switch

If data residency requirements mean you cannot use any third-party AI provider at all, or you have a specialised NLU need a general-purpose LLM genuinely can't match, an in-house open-source approach may remain necessary regardless of maintenance cost. This alternative fits teams where the maintenance burden, not a hard technical requirement, is the deciding factor.

The 14-day free trial (every feature unlocked, no credit card) is built for exactly this kind of side-by-side comparison, so you can judge the fit on your own conversations before deciding either way.

Example conversation

Frequently asked questions

Related reading

Available across India — see WhatsApp & AI calling automation by state and city.