AI Tool
Botpress pricing, features, company info, and alternatives
A factual product page for Botpress as a hosted platform for building and deploying AI agents.
Last updated April 2026 ยท Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Botpress, last verified Apr 24, 2026.
Pay-as-you-go
$0 / month
Includes a $5 monthly AI credit; LLM usage is billed separately as AI Spend.
Plus
$79 / month
$89/month when billed monthly; AI Spend is charged separately.
Team
$445 / month
$495/month when billed monthly; AI Spend is charged separately.
Managed
$1,245 / month
$1,495/month when billed monthly; Botpress builds and manages the agents; AI Spend is charged separately.
Enterprise
Custom
Custom workspace limits, onboarding, and support arrangements.
What You Can Do With It
The main capabilities that shape how people use Botpress today.
Combines a visual studio with code-oriented APIs for bot, table, file, runtime, and chat workflows.
Supports deployment across web, embedded applications, and voice interfaces from one hosted platform.
Includes built-in knowledge bases, tables, human handoff, analytics, and versioning in the same product.
Public pricing separates platform plans from provider-priced AI Spend instead of bundling model costs into one seat fee.
Best For
Who Botpress is most clearly built for.
Teams building customer support or internal-service agents that need both visual tooling and API access.
Organizations that want hosted agent deployment with human handoff, analytics, and workspace controls.
Developers who need a managed agent platform rather than a local-first or open-source-only stack.
Company
Leadership and company context for Botpress Inc..
Headquarters
Montreal, Quebec, Canada
Platforms
Where you can use Botpress today.
Web
Hosted cloud platform
API
Embedded webchat
Voice interfaces
Integrations
Notable connected tools and ecosystem hooks for Botpress.
HubSpot
Notion
Jira
Calendly
Messenger
Slack
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Botpress.
Botpress says it does not use Conversation Data or other end-user personal data for analytics, algorithm improvements, or training.
Botpress says content uploaded to a customer bot is used only to provide the service and not for analytics, model improvements, or training.
The privacy statement says data obtained through the Workspace API is not used to develop, improve, or train generalized AI or ML models.
Compliance
Public compliance or enterprise-governance signals we found for Botpress.
SOC 2
GDPR
Data Processing Agreement
Business Associate Agreement on higher-tier plans
Access
How to integrate or build around Botpress.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Botpress.
AI agent builder for customer support, sales, and user engagement workflows.
Open-source platform for building AI apps, agents, and RAG workflows.
Intercom's AI agent for customer service across chat, email, and phone.
AI service layer for customer support, copilots, and automated resolutions inside Zendesk.
Product Snapshot
Botpress is a hosted AI agent platform for building, deploying, and monitoring conversational and workflow agents. Its public product surface includes Studio, knowledge bases, tables, human handoff, analytics, deployment channels, and a multi-API developer layer.
What You Can Do With It
- Build AI agents in a visual studio or through Botpress APIs.
- Deploy agents to webchat, embedded applications, and supported voice or messaging channels.
- Add knowledge bases, structured tables, analytics, and human handoff to production workflows.
- Manage bots, files, conversations, and runtime behavior through the public API surface.
Why It Stands Out
It combines a visual builder, hosted deployment, human handoff, and a broad API layer in one platform instead of treating those as separate products.
Tradeoffs To Know
- Public pricing separates platform plans from provider-priced AI spend, so monthly cost depends on both Botpress plan limits and model usage.
- Higher-tier controls such as expanded workspace limits, managed services, and some compliance paperwork are tied to more expensive plans or custom sales terms.
- The product is built around hosted deployment and shared workspace administration rather than a lightweight single-user assistant workflow.