StackAI

StageSeed
Hiring pace14 roles / 90d
Founded2023
Team size51-200 employees
HQSan Francisco, CA
IndustriesSaaSAI/MLEnterprise SoftwareNo-code

About StackAI

Stack AI is a company that provides a no-code drag-and-drop platform to design, test, and deploy AI workflows that leverage large language models to automate business processes. Stack AI's core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that connects different data sources with different AI models. This approach enables automation of business processes by integrating data sources with AI models through a visual interface.

Open positions · 18

Company at a glance

Location
San Francisco, CA
Websitestack.ai
LinkedInLinkedIn

Location

Culture & values

The core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface.

Life at StackAI

Frequently asked questions

Companies similar to StackAI

Ambi

Ambi is building the interface for the AI era - software and hardware that move at the speed of thought. We're creating a living memory system that turns conversations, meetings, and daily signals into one connected knowledge base, across phone, watch, and desktop. Backed and early-stage, headquartered in San Francisco with hybrid flexibility - this is a ground-floor seat on category-defining hardware.

AI/ML11-50
Arbio

Arbio, headquartered in Berlin, Germany, is building an AI-native property management platform for short-term rentals across Europe. It currently manages over 1,000 apartments and operates real properties in Berlin, Hamburg, Vienna, and Leipzig, with plans to expand to additional European cities. The company has raised a $36 million Series A funding and maintains an engineering team of five engineers. Arbio’s platform uses AI to observe, decide, and act on real-world property operations with humans in the loop, enabling AI-assisted management of short-term rental properties across Europe.

AI/ML51-200
Arga Labs

Arga Labs provides isolated sandbox environments equipped with API twins of third-party services, enabling developers and organizations to safely test and train AI agents without risking their production systems. By offering a controlled testing ground that mirrors real-world APIs, the company allows teams to experiment with AI implementations, validate workflows, and refine agent behavior in a risk-free setting. This approach addresses a critical need in AI development, where testing in live environments can introduce costly errors or security vulnerabilities.

AI/ML1-10