Deliver AI apps to your team

Squadbase is the easiest and most secure way to deploy AI applications only to your team.

Works perfectly with

Backed by

A next-gen cloud platform for designed for AI apps

Squadbase is a cloud platform that securely deploys in-house dedicated AI apps with just a few clicks and automatically prepares them for SAML/OIDC authentication, granular RBAC, execution logs and user analytics. Developers can focus on writing code while leaving the burden of operations and security behind the scenes, and continue to nurture their apps with feedback and logs after release.

Delivery

Push to your git repo to complete deployment. Your app will only be accessible to invited team members.

Github Integration

By directly integrating with a Git repository, developers can achieve a seamless workflow from source code management to deployment. Simply linking to repositories such as those for Streamlit or Next.js completes the deployment setup.

Continuous Deployment

Automatic deployment immediately pushes changes to the cloud environment, enabling prompt user feedback. Deployment logs and version control help ensure the seamless operation of your AI application.

Security

Squadbase’s deployment environment is secure by default, with applications running in a cloud environment accessible only to team members. You can also choose a public configuration that allows access to anyone with the URL depending on your application’s needs.

Built-in Features

Squadbase gives your apps the desirable features for business apps: user authentication, role-based access control, and runtime log monitoring. Zero code required.

Users with access

Naoto

Kenichi

Keita

Built-in Authentication

The platform’s built-in user authentication prevents external access by default, ensuring the app is shared exclusively with team members. No additional code required!

Battle-tested Scalability

Choose instance regions and specs from cloud providers like AWS or GCP to build a deployment environment, quickly achieving a scalable and stable setup.

Wokeup instance

Started app

/ 200 OK

/sales-analytics 200 OK

Runtime log monitoring

Collecting and analyzing runtime logs is vital for effective app management. Apps deployed on Squadbase automatically have their execution and access logs collected, enabling easy monitoring.

Collaboration

Squadbase is not just cloud hosting, but a platform for feedback and discussion on internal apps to improve the organization.

Sales Dashboard

Streamlit

A sales dashboard connected to CRM data.

Google Analytics AI Chat

Next.js

A chatbot connected to Google Analytics data.

Sales Dashboard

Streamlit

A sales dashboard connected to CRM data.

Google Analytics AI Chat

Next.js

A chatbot connected to Google Analytics data.

Sales Dashboard

Streamlit

A sales dashboard connected to CRM data.

Google Analytics AI Chat

Next.js

A chatbot connected to Google Analytics data.

Sales Dashboard

Streamlit

A sales dashboard connected to CRM data.

Google Analytics AI Chat

Next.js

A chatbot connected to Google Analytics data.

App Directory

Squadbase isn’t just a cloud infrastructure—it also functions as an app directory for managing your organization’s applications.

Naoto1 hour ago

@Keita It seems that the AI chat responses are not sufficiently taking the CRM data into account. The content from CRM might be too long to extract the relevant parts effectively.

Keita32 minutes ago

@Naoto I agree with you. I'll take a look at it. @Kenichi could you look into how to summarize the documents stored in the CRM and then transfer them to a vector database?

KenichiJust now

@Keita Sure. How to summarize depends on the use case, but should we base it on this page?

Feedback

Deploying an app on Squadbase adds a comment popup, allowing team members to give feedback directly on the app.

User Actions on Sales Dashboard

Analytics

Apps on Squadbase automatically collect runtime and access logs, presenting beautifully organized analytics on a dashboard. Monitor usage to drive organizational transformation.

Streamlit

Streamlit is an open-source library that enables rapid development of intuitive web applications using simple Python code, making it well-suited for internal AI applications that boost business efficiency through integration with LLM APIs.

Nextjs

Next.js is a robust React-based framework offering built-in support for server-side rendering and static site generation, making it an ideal choice for building high-performance internal AI applications that integrate seamlessly with LLM APIs to enhance business efficiency.

Ollama

Ollama is a framework that can transform open-source large language models into APIs. By deploying Ollama on Squadbase, you can build an LLM API without sending data to external service servers.

Any frameworks runs on Docker

Squadbase supports Docker deployment, allowing you to deploy any framework that can run on Docker. Simply connecting a GitHub repository with a Dockerfile to Squadbase completes the deployment environment setup.

Insights

Learn how to revolutionize your organization with AI apps.