Amazon Lex vs Sarufi

Amazon Lex lets application builders create conversational interfaces that respond to natural-language voice or chat input. It combines automatic speech recognition for voice with natural language understanding for voice and text interactions. Builders can use a visual flow builder and AI bot generation. The Automated Chatbot Designer analyzes conversation transcripts and proposes an initial design with intents and slot types; Test Workbench supports creating test sets and reviewing results. For FAQ responses, an intent can query an authorized knowledge source and foundation models from Amazon Bedrock. Bots can be deployed on mobile devices and chat services including Facebook Messenger, Slack, Kik, and Twilio SMS. AWS integrations include Lambda for backend logic, Cognito for authentication, Polly for text-to-speech, and Amazon Connect for contact centers. Lex is available for Android, iOS, web, and API use. Text and speech requests use pay-as-you-use pricing, with no upfront commitment or minimum fee in the listed examples. Automated Chatbot Designer training time is listed at $0.50 a month, with pricing described as per minute of training time. The AWS Free Tier is available for six months after account creation, with credits subject to stated eligibility and expiry terms.

Sarufi is a conversational AI platform for building, testing, and deploying agents that automate business processes. One agent can run across WhatsApp, SMS, USSD, and an embeddable web widget. Teams can visually design customer journeys, add AI responses, connect a knowledge base, and configure payment steps or API calls without code for core journeys. Flow actions include messages with buttons, lists, and media, conditions, LLM agents with tools and context, and API calls. Listed integrations include WhatsApp Business API, Meta Cloud API, Africa’s Talking, Beem, USSD providers, REST APIs, and webhooks. Sarufi says it uses Meta’s official WhatsApp Business Platform and supports interactive messages, UI Flows, and approved templates. Developers get REST APIs, webhooks, per-chatbot MCP servers, and plain-JSON flows editable in a built-in IDE and kept in git. Conversations can be escalated to a person with history and context. The product page says it natively supports more than 10 African languages. A free plan is available; the Developer plan lists 1,000 messages per month with no price shown.