Stack AI is a no-code platform for building AI workflows, agents and retrieval-augmented (RAG) applications for enterprise use, aimed at business and IT teams — often in regulated industries — that want to deploy custom AI without writing code, and with the option to keep everything inside their own infrastructure.
Who it's for
Stack AI targets mid-market and enterprise organizations building internal or customer-facing AI applications — document Q&A, support chatbots, internal search, process automation — particularly ones with data-sensitivity concerns like finance, healthcare, legal or the public sector. Its combination of a free tier and self-hosted deployment also makes it approachable for smaller technical teams that want to prototype cheaply before committing to a private deployment, which is less common among enterprise AI-agent builders.
How it works
You build with a drag-and-drop canvas that connects large language models, data sources and tools into a workflow or agent, without needing to write custom code for the core logic. Finished workflows can be deployed as APIs, embedded chat widgets, or Slack/Teams bots, and usage is billed per run/execution rather than per seat. Stack AI also offers a genuine self-hosted deployment path — running entirely inside a customer's own VPC or behind their VPN — so organizations that cannot send regulated data to a third-party cloud can still use the same builder on infrastructure they control.
Pricing
Stack AI offers a free tier to start (with limits on workflow runs, projects and seats), with an Enterprise tier above it that adds SSO, audit logs, private model deployment and dedicated support. Stack AI doesn't publish a fixed self-serve price beyond the free tier in our data, so check Stack AI's current pricing page or talk to sales for exact enterprise rates.
Strengths and trade-offs
Stack AI's clearest strength is the combination of self-hosting and enterprise trust signals (SOC 2, and reportedly HIPAA and GDPR-oriented controls) with a genuinely free entry point — a rare mix, since most agent builders with self-hosting are enterprise-only and most free-tier tools don't self-host at all. Per-run billing is also more predictable for spiky or seasonal workloads than a flat seat fee. The trade-off is that Stack AI focuses on workflow/RAG-style AI applications rather than the broadest possible integration catalog or the deepest multi-agent orchestration features found in some competitors, so teams need to confirm it covers their specific data sources and use case before committing to a private deployment.