StackAI
Also known as: Asana
No-code platform for building, deploying and governing enterprise AI agents that act across ERP, CRM and ITSM systems.
StackAI is a no-code platform for building enterprise AI agents that execute work end to end across the systems a business runs on. Its agents reach into tools like CRMs, ERPs, ITSM systems, and document repositories to read data and take actions. Founded by two MIT PhDs, the platform lets teams design, test, deploy, and govern custom agents through a drag-and-drop canvas, without requiring engineering resources.
A single StackAI agent can connect workflows, data, and actions across enterprise applications such as Salesforce, Slack, SharePoint, Snowflake, Google Workspace, and Oracle, pulling information from one system, synthesizing it, and triggering work in another. A compliance agent, for example, might pull contracts from a document store, check them against policy rules held in another system, and route flagged items to a channel for human review. The same pattern powers automations like customer-support triage, IT service requests, request intake, and task routing, often as multi-agent workflows that span several tools and domains.
StackAI's early customers came from heavily regulated sectors like financial services, healthcare, and professional services. The platform designs, tests, and governs agents through a structured deployment lifecycle, with access controls by role and group, SCIM provisioning, Project Controls that lock workflows in production, and a step by step record of each run. It holds SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certification.
Asana acquired StackAI in May 2026 and made it the execution layer for its vision of an operating system for teams of humans and agents. StackAI reaches into the external systems where work happens, while Asana supplies business context, team workflows, and governance. StackAI continues to operate as its own product and brand after the acquisition.
Vendor details
Canonical URL
https://www.stackai.com
Category
Agent builder
Subcategory
Enterprise no-code agent builder with on-premise deployment and browser automation
Funding status
Acquired by Asana, Inc. (NYSE: ASAN) on 28 May 2026 for approximately $75 million, confirmed in Asana's own investor press release and SEC filing. Founders Tony Rosinol and Bernard Aceituno joined Asana. Before the acquisition StackAI was Y Combinator-backed and is reported to have raised just under $20 million, including a $16 million Series A (Gradient, with Vercel CEO Guillermo Rauch among backers); those pre-acquisition figures come from third-party reports, not from StackAI or Asana.
Company status
acquired
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
StackAI offers roughly ninety app nodes, each with its own actions, inputs, configurations and outputs, weighted toward enterprise systems. CRM and sales nodes cover Salesforce, HubSpot and Outreach, ERP nodes cover SAP, NetSuite and Oracle, and ITSM and ticketing nodes cover ServiceNow, Jira, Linear, ClickUp and Zendesk, with Workday for HR. Warehouse and database nodes cover Snowflake, Databricks, BigQuery, Azure SQL, Synapse, MongoDB, MySQL and PostgreSQL, with natural language to SQL querying, and Pinecone and Weaviate serve as vector stores. Storage and document nodes cover SharePoint, Box, OneDrive, Egnyte, Google Docs, Google Sheets and Excel, and communication nodes cover Slack, Microsoft Teams, Gmail, Outlook and Missive. Financial and market data comes from SEC EDGAR, Pitchbook, Crunchbase, Fred and Yahoo Finance. Other nodes include Docusign, Stripe, Miro, Notion, Airtable, Smartsheet, Coda, Looker, Power BI, Hightouch, Algolia, Firecrawl, Exa AI, SerpAPI, Web Search, Wolfram Alpha, E2B, HyperBrowser, RunwayML, Gamma, Reducto and Typeform. An MCP node connects to any Model Context Protocol server and a Custom API node calls arbitrary endpoints. Outbound, StackAI publishes its own MCP server plus a REST API covering Run Flow, Knowledge Bases and Analytics. End-user surfaces are Form, Chat Assistant, Website Chatbot, Slack App, Microsoft Teams, WhatsApp and SMS via Twilio, Batch Run and API.
In practice
Your process spans several systems: pull a contract from a document store, check it against rules in a CRM, and route exceptions for review. StackAI builds an agent that reads and acts across all of them, no code required.
You're in a regulated industry and can't deploy agents without auditability and compliance. StackAI offers governed agent deployment with access controls and certifications like SOC 2 Type II, HIPAA, GDPR, and ISO 27001.
Your team can plan work but your agents can't actually execute inside the tools where business runs. StackAI's no-code canvas connects agents to systems like Salesforce, Slack, and SharePoint to complete end-to-end workflows.
Sources & related URLs
Related / legacy domains
Research sources
Agentic Index coverage score
13.5 / 14 capabilities · 96%
| Integrations & Tool Calling | Full |
|---|---|
|
Roughly ninety app nodes each come with their actions, inputs, configurations and outputs spelled out. Classes represented include CRM and sales with Salesforce, HubSpot and Outreach, ERP with SAP, NetSuite and Oracle, ITSM and ticketing with ServiceNow, Jira, Linear, ClickUp and Zendesk, HR with Workday, data warehouses and databases with Snowflake, Databricks, BigQuery, Azure SQL, Synapse, MongoDB, MySQL and PostgreSQL, vector stores with Pinecone and Weaviate, storage and documents with SharePoint, Box, OneDrive, Egnyte, Google Docs and Excel, communications with Slack, Teams, Gmail, Outlook and Missive, financial data with SEC EDGAR, Pitchbook, Crunchbase, Fred and Yahoo Finance, plus Docusign, Stripe, Miro, Notion, Airtable, Smartsheet, Coda and a Custom API node. An MCP node connects to any Model Context Protocol server. Sourcedocs.stackai.com apps treeread 2026-08-31 |
|
| Workflow Orchestration | Full |
|
In the AI Agent node, Subflow Tools let an agent call another flow as a tool with its own tools, knowledge sources, main and advanced settings. Logic nodes cover AI Routing for branching the model decides, If/Else for deterministic branching, Loop Subflow for iteration, and Code and Python Code for custom logic, with a Delay node for pacing and a StackAI Project Node for invoking another project. StackAI also gives guidance on orchestrating AI agents, common architectures, handling errors and fallback, detecting the first run, and skipping or replacing a node. Sourcedocs.stackai.com core nodes, logic and guides treesread 2026-08-31 |
|
| Knowledge Grounding & RAG | Full |
|
Knowledge bases can be created and used by an AI agent in two ways, through knowledge base nodes and tools, with a Knowledge Base app node for search and retrieval over indexed documents and a Knowledge Bases REST endpoint. Connection and Knowledge Base Permissions restrict access independently of workflow access. A Dynamic Vector Store node builds retrieval at runtime, Search Connected Apps grounds against live systems, and Pinecone and Weaviate nodes query customer-managed vector databases. Chunking and embeddings are configurable, and Reducto and VLM nodes handle document parsing. Sourcedocs.stackai.com knowledge bases, apps and core concepts treesread 2026-08-31 |
|
| Human Oversight & Guardrails | Full |
|
Human in the Loop is one of StackAI's core nodes, and the first of its building challenges is constructing a procurement intake assistant that gathers missing details with HITL and confirms the final request before sending. Approval requests can be delivered in Slack with approve and disapprove controls, bringing human oversight into critical decision points. Workflow Notifications are available, and Project Controls lock workflows when in production. Feature Access lets an admin enforce governance standards over what builders may use. Sourcedocs.stackai.com human-in-the-loop node, building challenges and security tree, stackai.comread 2026-08-31 |
|
| Security, Identity & Governance | Full |
|
Security and governance controls cover Security and Privacy, AI Governance, Role-Based Access Controls and Groups, Workspace and Folder Access, Project Controls, Feature Access for admin enforcement of governance standards, Connection and Knowledge Base Permissions, Authentication and MFA, an Agentic Development Lifecycle, and SCIM provisioning from the customer's identity provider with dedicated Okta and Entra guides. Environment Variables store encrypted secrets outside the workflow and resolve stage-specific values at runtime. StackAI holds SOC 2 Type II, ISO 27001, HIPAA and GDPR certification, with a Trust Center at trust.stackai.com, a SOC 2 report request form, published OpenAI and Anthropic data processing addenda, and a BAA signing route. Sourcedocs.stackai.com security tree and stackai.com certificationsread 2026-08-31 |
|
| Observability & Auditability | Full |
|
The Analytics page gives node level information to follow the data flowing through a workflow, trace any actions taken at each step and find the node where an error originated, a record of the agent's run step by step. It also shows runs, users, errors and token usage over a time range, with an admin only switch to disable logs for sensitive workflows, the Manager view shows every conversation between users and agents, and an Analytics REST endpoint is available. Sourcedocs.stackai.com Troubleshooting a Workflow, Analytics and Manager pagesread 2026-09-29 |
|
| Memory & State Persistence | Partial |
|
The Shared Memory node passes conversational context from one LLM node to another, with the builder choosing how many past interactions to forward, and StackAI warns that passing too many will overwhelm the receiving model's context window. That context is passed within a run, and no memory kept across sessions or learned over time is described. Browser session state that persists across runs and Canvas version history for each conversation belong to the browser and document features. Sourcedocs.stackai.com Shared Memory node and complete documentation indexread 2026-08-31 |
|
| Deployment & Data Residency | Full |
|
StackAI can run on premises, and the StackAI Auto CLI, an enterprise command line tool, deploys and manages StackAI on customer infrastructure, with engineering standards, a getting started guide, migration from a legacy Docker deployment and a storage-api CVE upgrade plan. Government deployments come with guidance for provisioning Azure OpenAI in Azure Government. StackAI offers multi tenant, VPC and on premise deployment with Kubernetes, and the workflow builder supports local LLM hosting and LLMs hosted on Azure and AWS Bedrock so inference can stay inside the customer's own cloud account. Sourcedocs.stackai.com on-premise, government deployments and Auto CLI trees, stackai.com deploy anywhere sectionread 2026-08-31 |
|
| Prebuilt Agents, Templates & Packs | Full |
|
Templates are offered in the workflow builder and on the product site. StackAI Computer users can open the Templates section and search for the Content Writer template, a pre-built agent with a structured system prompt that demonstrates document generation from start to finish. Skills are reusable instruction packs that AI Agents load on demand, a Prompt Library holds saved prompts and instructions, and common architectures give reusable workflow patterns. Fourteen tutorial agents can be built as examples, including compliance, IT support, policy, Salesforce and web research agents. Sourcedocs.stackai.com templates, skills, prompt library and tutorials treesread 2026-08-31 |
|
| Triggers & Channel Coverage | Full |
|
Trigger Nodes start automated workflows in two ways. Event based triggers run the moment something happens, such as a new Gmail or Outlook email, a Typeform submission, a Stripe payment, a new Zendesk ticket or another StackAI workflow finishing, with filters on conditions such as sender, label or attachments, and time based triggers run once at a set date and time or recur hourly, daily or weekly. Both start the workflow without a person initiating it. End-user interfaces add Form, Chat Assistant, Website Chatbot, Slack App, Microsoft Teams, WhatsApp and SMS through Twilio, Batch Run and API. Sourcedocs.stackai.com Trigger Node page and end-user interfaces treeread 2026-09-29 |
|
| Model Flexibility & Routing | Full |
|
StackAI supports multiple LLMs, models hosted on Azure and AWS Bedrock in the customer's own account, and local LLMs on the customer's own infrastructure, and LLM Provider Governance controls which LLMs the organization has access to and where information is sent and stored. Guidance covers using multiple LLMs and improving LLM performance, a Cerebras node adds a dedicated inference provider, and StackAI is LLM agnostic, naming Anthropic, Meta, OpenAI, Google Gemini and Mistral. A public LLM Leaderboard is published on its site. Sourcedocs.stackai.com LLM hosting and governance tree, stackai.comread 2026-08-31 |
|
| APIs, SDKs & MCP Extensibility | Full |
|
An API Reference covers Run Flow, Knowledge Bases and Analytics endpoints, and a StackAI MCP Server exposes the platform to MCP clients. The StackAI Auto CLI is an enterprise command line tool for deploying and managing the platform. Within workflows, a Custom API node calls arbitrary external endpoints, a Code Node and Python Code node run custom logic, and Exporting and Importing Projects plus Sharing Projects and Backup make agent definitions portable. An interface can be deployed as an API, alongside Exposed Inputs and signed URL generation. Sourcedocs.stackai.com API reference, MCP reference, utils and interface treesread 2026-08-31 |
|
| Testing, Debugging & Optimization | Full |
|
An Evaluator in the Observability section scores an agent's performance with an LLM as a judge, alongside Analytics and Manager. StackAI covers an Agentic Development Lifecycle, the workflow editor shows version control, a pull request and a prompt diff, and Project Controls track versions during workflow development and lock workflows in production. Guides cover troubleshooting a workflow and handling errors and fallback, and a Prompt Library stores saved prompts and instructions. Sourcedocs.stackai.com Observability and Security in StackAI treesread 2026-08-31 |
|
| Browser & Computer Use | Full |
|
Browser Navigation Replay persists browser state including cookies, sessions and local storage across runs. A session is recorded through a bundled browser extension in a sandboxed browser and replayed later on a schedule or trigger, and if the recording was captured while logged into a web application, that session state is preserved between runs so re-authentication is not needed. Each replay returns a step-by-step result payload plus a stream URL for watching execution in real time. Browser Navigation is the choice when the agent must reason its way through an unfamiliar or dynamic task, and a separate HyperBrowser node automates browser tasks. The Terminal sandbox and Canvas actions on the same provider handle code execution and document editing. Sourcedocs.stackai.com StackAI Computer and HyperBrowser nodesread 2026-08-31 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Product updates
The mid October StackAI release adds a broad set of integrations, among them Akeyless and Keeper secrets management with Keeper SCIM provisioning, Chatwoot, Jamf Pro and Egnyte file triggers, plus an action to approve GitHub pull requests. Salesforce, Coupa and QuickBooks MCP connections can now use StackAI managed OAuth without registering an app, and custom MCP connections accept a custom header name for API key authentication. Workflow, Agent Builder and Interface also now share one autosaving draft engine with version history.
Bears on: MCP / tool calling / API
View sourceStack AI's E2B partnership now powers sandboxed Custom Code, Computer Use/RPA replay, and Browser Use on the StackAI platform.
Bears on: Browser/computer use
View sourceStackAI introduced a Box integration for knowledge bases, workflows, conversational assistants, triggers, and write-back to Box. Also published a deployment-options guide covering multi-tenant cloud, dedicated cloud, private cloud/BYOC, and on-premise.
Bears on: Integrations
View sourcePricing
Free at $0 for 500 runs a month. Enterprise is custom and priced per seat, with no self serve paid tier.
Runs. One run is one execution of an agent or workflow. Free includes 500 runs a month, and Enterprise is billed per seat with a run allowance set in the contract.
Included quota
Free ($0 a month) includes 500 runs a month, 2 projects and 1 seat, all core modules (Agents, Flow, Storage), multimodal input and output, code, Python and JS logic, data loaders (web scraping, file upload, Google Drive, Notion), the REST API, a Slack bot, knowledge bases, document readers (PDF, Word, PPT) and Discord community support. Enterprise is custom, with custom runs and seats, unlimited projects, all features and data loaders, dedicated infrastructure, dedicated solution and forward deployed engineers, on premises and VPC deployment (AWS, Azure or GCP through Kubernetes), SSO (Okta, Azure AD, Google), RBAC and access control, audit logs, PII masking, data residency, SOC 2 Type II, HIPAA, GDPR and ISO 27001, a HIPAA BAA, priority and dedicated support, and a custom domain.
What is public
Two tiers are published. Free is $0 a month for 500 runs a month, 2 projects, 1 seat and Discord community support. Enterprise has custom runs and seats, unlimited projects, all features and data loaders, dedicated infrastructure and solution engineers, on premises or VPC deployment, SSO, access control, SOC 2, HIPAA and GDPR, and a BAA. There is no self serve paid tier, so anything beyond the free plan is a custom Enterprise quote through sales, priced per seat. Billing is by runs, one run being one execution of an agent or workflow.
Billing mechanics
Two published tiers only. Free is hard capped at 500 runs a month, 2 projects and 1 seat, and is meant for evaluation. Enterprise is custom quoted, billed per seat with a custom run allowance scoped to team size, feature needs and deployment (multi tenant cloud, dedicated cloud, VPC or on premises). A run is one execution of an agent or workflow. Enterprise unlocks dedicated infrastructure, a forward deployed engineer and the full governance and security stack.
Cost watchouts
Only two tiers exist, a free plan with 500 runs a month and custom Enterprise, so production use moves straight to a sales led Enterprise quote, with no self serve option for solo teams. Implementation, data integration, RAG and knowledge base work and custom agent builds are services outside the license, and no price for them is published. The HIPAA BAA is Enterprise only, so free use cannot process PHI. LLM usage is on top, on the customer's own keys with model agnostic routing.
Variable cost rationale
Runs are the meter, one run per execution of an agent or workflow. LLM usage is paid separately on the customer's own keys, so cost grows with run volume and model choice, plus seat count on Enterprise. The free plan is hard capped at 500 runs a month and stops there rather than billing overage. Enterprise run allowances and seats are fixed in the negotiated contract, and no overage rate is published.
Additional watchouts
Only Free and a custom Enterprise plan are published, so a customer outside the enterprise motion has no self serve paid option after 500 free runs a month. Enterprise pricing needs a scoping call, and the HIPAA BAA is Enterprise only. Implementation and services costs sit on top of the license and are not published.
Overage / add-ons
Free is hard capped at 500 runs a month, 2 projects and 1 seat. Going past it means moving to a custom Enterprise plan, as there is no self serve paid upgrade. Enterprise run allowances and seats are negotiated in the contract.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free plan at $0 with 500 runs a month, 2 projects and 1 seat, no card required
Lowest paid plan
Not published. The only paid plan is custom Enterprise, priced per seat.
Commercial notes
StackAI is an enterprise focused no code agent builder with a drag and drop visual canvas, RAG pipelines, multi agent orchestration and what StackAI calls 8 layers of governance, 'made by PhDs at MIT'. Named customers include BAE Systems, Mayo Clinic, MIT, Nubank, Live Oak Bank, Raiffeisen, Voya, City of Santa Monica and Goodwill.
Key ambiguities
Only Free (500 runs a month) and Enterprise are offered. A Pro tier and higher free quotas that appear in some third party listings are not current plans. Enterprise is fully custom. StackAI measures usage in runs, which some sources translate to credits.
Cancellation / refund
The free plan needs no card. Enterprise is a custom annual contract priced per seat and scoped through a demo, with no self serve checkout.
Support SLA / resale
Free gets community support on Discord. Enterprise adds priority and dedicated support, 24/7 live support and dedicated solution and forward deployed engineers.
Missing data
Enterprise pricing is fully custom, and no implementation or services cost is published.
Related vendors
- Lindy — Lindy is an AI teammate that lives in Slack, answers from your tools…
- Activepieces — Open source, MIT licensed automation platform where every one of 700…
- Agenta — Agenta is an open source workspace where teams build AI agents by…
- AgentX — No code platform to build, evaluate, and deploy multi agent…
- AI Library — No code platform for building and running AI agents, with a…
- Aigensei — Enterprise agentic workflow platform that runs business processes…
Alternatives to StackAI
The closest documented capability profiles to StackAI among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Gumloop13.5 / 14Matches StackAI across all 14 documented capabilitiesStackAI vs Gumloop →
- Camunda14.0 / 14Fuller documented coverage on Memory & State Persistence
- Flowable13.0 / 14A lighter documented profile than StackAI
- FLOWX.AI14.0 / 14Fuller documented coverage on Memory & State Persistence
- GPTBots13.0 / 14A lighter documented profile than StackAI
- n8n13.0 / 14A lighter documented profile than StackAI
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded