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SPECIFICTION
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MagicFlow AI vs Radioso

MagicFlow AI

magicflowai.io

Radioso

radioso.ai

Side by side

FigureMagicFlow AIRadioso
Price from₹2,999/moFree
Free plan—Yes
Free trialYes—
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published65
Spec score · Sales Chatbot Software8.0 (#15)8.3 (#9)
CompanyThe about page says MagicFlow AI launched in 2026 as an independent brand built by MagicWorks IT Solutions Pvt. Ltd., incorporated in 2012.Radioso is identified in its privacy policy as Ljuv OÜ, an Estonian private limited company registered in Tallinn.
HeadquartersPune, Maharashtra, IndiaTallinn, Estonia
Intended usersThe maker describes MagicFlow AI as built for Indian SMEs and agencies running paid traffic.The product is presented for high-volume customer experience teams, builders embedding service agents in products, and knowledge-base teams.
ProductMagicFlow AI is an AI sales chatbot for SME websites that engages visitors, qualifies enquiries, captures campaign context and routes hot leads to teams.Radioso provides open-source AI agents for resolving support tickets, answering from help centers, and qualifying leads.
SecurityThe pricing page says conversations are encrypted at rest and in transit and customer data is not used to train AI models.The company describes encryption in transit, access controls, audit logging, and least-privilege operational practices as security measures.

Plans

MagicFlow AI

  • Starter₹2,999 a month
  • Pro₹5,999 a month
  • EnterprisePriced on request
  • EnterprisePrice not published
  • ProPrice not published
  • StarterPrice not published

MagicFlow AI pricing →

Radioso

  • Open sourceFree
  • Open-source editionFree
  • Enterprise EditionPriced on request
  • Enterprise EditionPriced on request
  • Radioso CloudPriced on request

Radioso pricing →

In their own words

MagicFlow AI

MagicFlow AI has no write-up on Specifiction yet; its figures are above.

Visit magicflowai.io

Radioso

Radioso provides open-source AI agents for support tickets, help-center answers and lead qualification. Agents can use policies and help-center content for routine work such as returns and escalations, call tools, trigger webhooks, run multi-step routines and hand difficult conversations to people with context. Answers can cite uploaded documents and knowledge shared across channels. Assistants are reachable through Slack, an embedded website widget, public chat, REST API, SDK and MCP server; in Slack, users can mention @Radioso or send a direct message. Radioso runs in its cloud or on customer-operated infrastructure using the customer’s model keys. The Open source plan costs nothing, includes all product features and supports self-hosting. Radioso says ingested content, conversations and prompts are not used to train its own models. Radioso Cloud uses Google Cloud Platform in an EU region and PostHog EU Cloud for analytics, while configured AI providers may process prompts and retrieved context primarily in the United States. Security measures listed include encryption in transit, access controls, audit logging and least-privilege practices.

Visit radioso.ai