Chatbase
Build AI support agents trained on your own data, no code required.

A no-code platform to build and deploy enterprise AI agents.
Stack AI has clearly chosen its lane: enterprise. After YC, it pivoted away from SMB customers toward F500-scale buyers, and the product, pricing and security posture reflect that. For large organizations wanting a governed, no-code way to build LLM agents and workflows, it is a serious option backed by roughly $19.6M in funding. Smaller teams may find it pricier and more enterprise-oriented than lighter chatbot builders; evaluate fit against your scale and governance needs.
Stack AI is a no-code platform for building, deploying and managing enterprise AI agents and LLM workflows. It connects data sources, models and tools on a visual canvas to automate document processing, question answering and data tasks, with a strong focus on enterprise security and governance.
Stack AI is a no-code builder for AI agents and LLM-powered workflows. Using a visual interface, teams connect data sources, LLMs, tools and logic to automate tasks such as document processing, question answering over knowledge bases, data extraction and internal assistants. It is designed so business users can assemble agents without heavy engineering, while still offering the security and governance features enterprises expect. After graduating from Y Combinator's W23 batch, Stack AI deliberately pivoted toward the enterprise, reportedly moving away from smaller SMB customers to focus on large, F500-scale buyers. Its customer roster includes named enterprise logos, and its feature set leans into compliance, security and scaled deployment. The company has raised roughly $19.6 million across two rounds, including a $16 million Series A in May 2025 led by Lobby Capital, with earlier backing from Gradient Ventures and Y Combinator. Pricing has moved upmarket, with builder and team tiers plus enterprise plans; smaller teams may find it less accessible than lighter chatbot builders, but enterprises get a governed, no-code agent platform.
Stack AI is a no-code platform for building, deploying and managing enterprise AI agents and LLM workflows, with a strong focus on security and governance. After graduating from Y Combinator, it pivoted toward F500-scale enterprise buyers. It has raised roughly $19.6 million, including a $16M Series A in 2025. Pricing skews enterprise, with builder and team tiers plus custom plans. Best for large organizations automating document and knowledge tasks.
Stack AI is a Y Combinator (W23) company building a no-code platform for enterprise AI agents. It deliberately moved upmarket, reportedly stepping away from smaller SMB customers to focus on large, F500-scale enterprises, and lists named enterprise logos among its customers.
The company has raised roughly $19.6 million across two rounds and emphasizes security, governance and scaled deployment.
Stack AI provides a visual no-code canvas for connecting data sources, LLMs, tools and logic to build agents for document processing, knowledge-base question answering, data extraction and multi-step workflows. It offers enterprise security, an API and many integrations.
Its feature set and pricing lean toward enterprise governance and scaled deployment rather than lightweight, single-bot use cases.
Large enterprises and mid-market organizations that need governed, no-code AI agents and LLM workflows for document, data and knowledge automation.
Business analysts and operations staff using deployed agents, plus employees querying internal assistants.
Enterprise IT, data and automation leaders purchasing platform and enterprise agreements.
Enterprise architects, security and compliance teams, and AI-transformation leads.
A large enterprise that wants a governed, no-code platform to build and deploy AI agents for document and knowledge automation, with strong security and integration requirements.
Stack AI has raised roughly $19.6 million across two rounds, including a $3 million seed (led by Gradient Ventures) and a $16 million Series A in May 2025 led by Lobby Capital, after graduating from Y Combinator's W23 batch.
Stack AI is built primarily for enterprise teams that need to build and deploy governed, no-code AI agents and LLM workflows at scale.
You can build agents for document processing, knowledge-base question answering, data extraction and multi-step LLM workflows using a visual no-code canvas.
Yes. Enterprise security, governance and compliance are central to its positioning, reflecting its focus on large organizations.
Stack AI has raised roughly $19.6 million across two rounds, including a $16 million Series A in May 2025 led by Lobby Capital, after graduating from Y Combinator's W23 batch.
It can be, but the company has pivoted toward enterprise buyers, so smaller teams may find lighter, cheaper chatbot builders a better fit.
Side-by-side pages for pricing, features, and best-fit use cases.
Build AI support agents trained on your own data, no code required.
A collaborative platform to design, build and ship AI agents.
An all-in-one platform for building and deploying LLM-powered AI agents.
No-code custom AI agents built from your business content, with anti-hallucination focus.