Activepieces vs Confident AI

What is Activepieces?

Activepieces is an AI DevTools platform that enables teams to integrate AI into their workflows. Its main job is to provide automation solutions that enhance productivity across various tasks.

Who is Activepieces for?

Activepieces is designed for teams in various sectors, including sales, support, marketing, finance, people, and IT. It caters to users looking to automate processes and integrate AI into their daily operations.

What can I do with Activepieces?

With Activepieces, you can execute unlimited automation flows, create and manage AI agents for autonomous task performance, and utilize community support for collaboration. Additionally, you can implement custom role-based access controls and track activities with audit logs.

How much does Activepieces cost?

Activepieces operates on a freemium pricing model, offering a Standard tier with 10 free active flows and an Ultimate tier with customizable features. For more details, visit their site for specific pricing information.

How is Activepieces different from alternatives?

Activepieces stands out in the AI DevTools category by providing a fully managed cloud solution that requires no maintenance from users. This allows organizations to quickly implement automation without the burden of infrastructure management.

How is this different from DeepEval?

DeepEval is the open-source evaluation framework that powers the metrics and testing logic. Confident AI is the platform layer that adds collaboration, visualization, dataset management, production tracing, and team workflows on top. Think of DeepEval as the engine, and Confident AI as the full vehicle — you get dashboards, experiment tracking, human-in-the-loop workflows, and production observability all in one place.

What LLM use cases are supported?

All types of LLM use cases are supported, including summarization, Text-SQL, customer support chatbots, internal RAG QAs, conversational agents, and more. These can be any architecture — RAG pipelines, agentic workflows, conversational chatbots, or combinations like RAG chatbots and agentic RAG systems. Confident AI has tailored metrics and capabilities for different application types. Your evaluation strategy should match your use case. Learn more about supported use cases here.

What about complex agentic systems?

Complex agentic systems are fully supported through LLM tracing. Tracing gives you visibility into every step of agent execution — tool calls, reasoning chains, and intermediate outputs. One important consideration: be intentional about what you evaluate. Trying to measure everything often means you’re measuring nothing useful. Focus on the outputs and behaviors that matter most for your users.

Who uses Confident AI?

Our platform is designed for cross-functional AI teams: - Engineers use evals in CI/CD and traces for debugging - QAs build test datasets and run regression suites - PMs track quality metrics and compare experiments - SMEs & Annotators label data and review AI outputs in human-in-the-loop workflows

Is Confident AI enterprise ready?

Yes. We offer SSO, team-based data segregation, customizable user roles and permissions, and self-hosted deployment options for your cloud environment.