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Ada vs Botpress

Ada and Botpress are both Chatbots & AI agents tools. Here is how they compare on pricing, audience, platforms and community votes.

Ada

Enterprise AI agents that resolve support chats, emails and calls

Botpress

Open-source-rooted platform for LLM agents

PricingPaidFreemium · $189
Built forEnterpriseDevelopers, Small businesses
Platformswebweb
CountryCA · 2016CA · 2016
Community votes00
Rating——

Ada

Ada is an AI customer service platform from Toronto, founded in 2016 by Mike Murchison and David Hariri. It started as a no-code chatbot builder and has repositioned itself as an agentic customer experience platform: AI agents that answer and resolve customer inquiries end to end across messaging, email and voice, rather than deflecting them to a help article.

The agent orchestrates several large language models, reads your knowledge base, and uses Actions to call your systems so it can look up orders, change bookings or issue refunds. Playbooks encode multi-step standard operating procedures, and the platform includes testing, coaching, analytics and an automated resolution metric to track how many conversations finish without a human. Ada lists SOC 2, HIPAA, GDPR and PCI DSS compliance. There is no self-serve plan: pricing is quote-based after a sales demo.

Ada fits large consumer brands with hundreds of thousands of support conversations a year, such as Pinterest, monday.com, Grab and Life360. Smaller teams usually get faster value from Intercom Fin or Tidio Lyro, which price per resolution and install in an afternoon. Zendesk AI agents make more sense if you want to stay inside one helpdesk vendor, and Decagon and Sierra are the main newer enterprise rivals.

In February 2026 Ada launched a unified Reasoning Engine that powers its agents across all channels from one intelligence layer. When evaluating, ask for a pilot on your own transcripts and compare the automated resolution rate, not deflection, against your current baseline.

Botpress

Botpress is a platform for building AI agents and chatbots powered by large language models. The Canadian company began with an open-source chatbot framework and later rebuilt the product as a cloud platform centered on a visual studio, where builders combine autonomous LLM nodes with structured workflows and can drop into JavaScript code whenever a step needs custom logic.

Agents draw on knowledge bases built from websites, documents and tables, call external systems through more than 100 integrations, and deploy to web chat, WhatsApp, Messenger, Telegram, Slack, Microsoft Teams and other channels. Human handoff, analytics, versioning and role-based collaboration are layered across plans. Pricing starts with a free plan of 100 conversations, then Plus and Team plans priced by included monthly conversations, with extra conversation packs and an AI usage allowance; usage beyond that allowance is billed, so the total cost depends on traffic and the models you choose.

Botpress fits developers, agencies and product teams building several agents that must follow defined processes and connect to real systems. Non-technical users who simply want a website bot trained on their content will be faster with Chatbase, Voiceflow offers a more design-oriented collaboration experience for conversation teams, and support organizations already on a help desk may prefer Intercom Fin or Zendesk AI agents. The product evolves quickly, so older tutorials and community answers can go out of date.