StackAI

• No-code AI agent and workflow builder for enterprise applications
• Agentic workflows for automating complex business processes
• Multi-agent orchestration for coordinating specialized AI agents
• Knowledge bases and retrieval-augmented generation using enterprise data
• 100+ enterprise integrations for connecting business systems and data
• Multimodal inputs and outputs including text, images, audio, and video
• Human-in-the-loop approvals for controlled AI decision-making
• LLM-agnostic architecture supporting multiple AI model providers
• Enterprise security, governance, analytics, and audit controls
• Flexible deployment options including cloud, VPC, and on-premise environments

StackAI

StackAI is an enterprise AI platform designed to help organizations build, deploy, and manage AI agents and intelligent workflows. The platform provides a visual environment for creating AI applications without requiring traditional software development for every workflow. StackAI connects AI models with enterprise data, documents, applications, and business systems to automate knowledge-intensive and operational processes.

Enterprise AI Agents

StackAI enables organizations to create AI agents for specific business tasks and workflows. Agents can process information, reason over enterprise data, interact with connected systems, and perform actions according to the workflow configuration. The platform is designed for use cases that require more than simple conversational responses.

No-Code AI Development

The platform provides a visual, no-code environment for building AI applications and agents. Users can design workflows by connecting different components, data sources, models, tools, and logic without having to develop an entire application from scratch using traditional programming.

Agentic Workflows

StackAI supports agentic workflows that allow organizations to automate multi-step business processes. Workflows can connect AI agents with enterprise data and external systems so that agents can analyze information, make workflow decisions, and perform configured actions as part of a broader process.

Multi-Agent Orchestration

StackAI supports multi-agent architectures in which different AI agents can be assigned specialized tasks. An orchestrating agent can break a larger objective into smaller activities, delegate those activities to specialized agents, review their results, and combine the outputs into a final response or deliverable.

Enterprise Knowledge Bases

StackAI provides knowledge-base functionality for connecting AI applications to organizational information. Supported data sources include documents and other enterprise information repositories, allowing AI agents to retrieve relevant information rather than relying only on the pretrained knowledge of an underlying language model.

Retrieval-Augmented Generation

The platform supports retrieval-based AI workflows that allow agents and applications to retrieve relevant information from connected knowledge sources before generating responses. This approach can help organizations ground AI outputs in their own documents and business information.

Enterprise Integrations

StackAI supports more than 100 enterprise integrations for connecting AI agents with existing technology environments. Integrations can provide access to business applications, databases, documents, cloud storage, communication systems, and other enterprise resources, allowing AI workflows to interact with systems already used by an organization.

Multimodal AI

StackAI supports multiple types of inputs and outputs, including text, images, audio, and video. Its platform also includes capabilities for document processing and readers for formats such as PDF, Word, and PowerPoint, enabling organizations to incorporate different forms of business information into AI workflows.

Document Processing

StackAI can process unstructured documents as part of enterprise AI workflows. Document loaders and readers allow organizations to provide information from files and connected repositories to AI agents for tasks such as analysis, extraction, classification, summarization, and knowledge retrieval.

Human-in-the-Loop Controls

The platform supports human oversight at selected stages of AI workflows. Organizations can configure approval steps that require people to review or authorize specific actions before an automated workflow continues. This approach is designed for business processes where human review remains important.

LLM-Agnostic Architecture

StackAI is designed to work with multiple large language model providers rather than requiring organizations to rely on a single model. The platform highlights support for providers and models from companies including Anthropic, Meta, OpenAI, Google, and Mistral, allowing organizations to select models according to particular workflow requirements.

AI Search and Assistants

StackAI can be used to create enterprise search applications and AI assistants that work with organizational information. These applications can provide conversational access to documents, knowledge bases, and connected business data, helping users retrieve information through natural-language interactions.

Workflow Automation

StackAI provides tools for automating repetitive and complex business workflows. Organizations can use AI agents to process information, connect systems, perform analysis, and execute configured tasks. The platform is designed to support processes such as compliance work, research, document processing, customer operations, and other knowledge-intensive activities.

AI Analytics and Monitoring

StackAI provides analytics for monitoring AI workflow activity. Its platform can expose information such as runs, users, errors, and token usage, helping organizations understand how their AI applications are being used and identify operational issues.

AI Governance

StackAI includes governance capabilities intended for enterprise AI deployments. Features include access controls, audit logs, feature controls, analytics, and workflow management. These capabilities provide organizations with mechanisms for controlling how AI applications and agents are used within their environments.

Agentic Development Lifecycle

The platform provides development and lifecycle capabilities for AI workflows. StackAI describes an agentic development lifecycle that includes workflow version control and prompt-diff functionality, helping teams manage changes to AI applications as they are developed and deployed.

Enterprise Security

StackAI is designed for organizations handling business and potentially sensitive information. The platform provides enterprise security capabilities including access controls, audit logs, and deployment options intended to give organizations control over where and how their AI applications operate.

Flexible Deployment

StackAI supports multiple deployment models. Depending on the plan and organizational requirements, AI applications can be deployed through the StackAI environment, a virtual private cloud, or on-premise infrastructure. This provides enterprises with different options for managing infrastructure and data residency requirements.

API and Application Deployment

StackAI allows organizations to turn AI workflows into applications and connected services. Its platform includes API access and integration options that allow AI capabilities to be incorporated into existing software environments and business processes.

Industry Applications

StackAI is used for enterprise applications across industries including financial services, healthcare, manufacturing, government, technology, and other operational environments. Potential applications include compliance automation, document analysis, research, knowledge management, underwriting, customer operations, and internal workflow automation.

Enterprise AI Transformation

StackAI positions its platform as an enterprise AI transformation environment rather than a single-purpose chatbot. Organizations can use the platform to develop multiple AI agents and workflows, connect them with business data and systems, and establish governance and operational controls for production use.

Company Background

StackAI was founded by MIT PhD researchers Antoni Rosinol and Bernardo Aceituno. The company states that its founders started StackAI in 2022 after identifying challenges enterprises faced when connecting their data with emerging large language models. StackAI joined Y Combinator’s Winter 2023 batch and subsequently developed its enterprise AI platform.

Frequently Asked Questions

What is StackAI?

StackAI is an enterprise AI platform for building and deploying AI agents, assistants, search applications, and automated workflows connected to organizational data and business systems.

Who is StackAI designed for?

StackAI is primarily designed for enterprises and organizations that want to deploy AI agents and workflow automation across business operations, knowledge management, document processing, and other complex processes.

Does StackAI require coding?

StackAI provides a no-code visual environment for building AI workflows and agents, allowing users to create applications without developing every workflow through traditional programming.

Can StackAI connect to enterprise data?

Yes, StackAI provides knowledge bases, data loaders, document readers, and more than 100 enterprise integrations for connecting AI applications with organizational information and existing systems.

Does StackAI support multiple AI models?

Yes, StackAI is designed to be LLM-agnostic and supports models from multiple providers, including Anthropic, Meta, OpenAI, Google, and Mistral.

Does StackAI support human approval workflows?

Yes, StackAI provides human-in-the-loop capabilities that allow organizations to insert human approval or review steps at selected points within AI workflows.

Can StackAI deploy AI agents on-premise?

Yes, StackAI’s Enterprise offering includes deployment options such as on-premise and virtual private cloud environments, subject to the applicable enterprise agreement.

Does StackAI have a free plan?

Yes, StackAI currently offers a Free plan with 500 runs per month, 2 projects, and 1 seat. Enterprise plans provide customized capacity and additional enterprise features.

How much does StackAI cost?

StackAI has a Free plan costing $0 per month. Enterprise pricing is customized according to the organization’s requirements, including capacity, seats, infrastructure, security, and support needs.

When was StackAI founded?

StackAI was founded in 2022 by MIT PhD researchers Antoni Rosinol and Bernardo Aceituno. The company joined Y Combinator’s Winter 2023 batch and launched its initial product shortly afterward.

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