Stack AI

What is Stack AI

Stack AI is a generative AI platform that enables organizations to build and deploy AI applications with ease, featuring a no-code, drag-and-drop interface. It offers enterprise-grade security and compliance, integrating with various data sources while ensuring data privacy. Designed for diverse use cases, from drafting RFPs to aiding clinical support, Stack AI supports on-premise deployment, making it versatile for different enterprise needs.

Key Features of Stack AI

- Generative AI Platform: Offers enterprise-grade AI solutions for varied use cases including AI Assistants, Applications, and Automations.

- No Coding Required: Build AI applications effortlessly with a drag-and-drop interface. Deploy with customizable UIs or ready-to-use API endpoints.

- Pre-built Use Cases: Utilize an extensive library of templates inspired by real use cases, achieving immediate results with the option to customize as needed.

- Enterprise-Grade Security: SOC2, HIPAA, and GDPR compliant, with data processing addendums (DPAs) signed with major AI providers such as Anthropic and OpenAI.

- On-Premise Deployment: Can be self-hosted on your own servers or Virtual Private Cloud (VPC), providing complete control over your data.

- Data Security and Encryption: All data is secured using AES-256 encryption protocol at rest and in transit (TLS 1.3).

- Custom SSO: Enables login and role-mapping through the SAML protocol by connecting your Identity Provider.

- Data Retention Policies: Allows organizations to set data retention durations, controlling how long data is retained.

- Vulnerability & Threat Tracking: Tracks vulnerabilities and threats to resolution with regular security scans.

- Seamless Data Integration: Connects effortlessly to your data storage solutions such as AWS S3, SharePoint, OneDrive, Snowflake, and Azure.

- High Privacy Standards: Ensures AI models run with the highest privacy and security levels using Azure OpenAI and AWS Bedrock; no training on your data is performed.

- Industry Certifications: Complies with SOC 2 Type II, GDPR, and HIPAA standards for data processing, retention, and access control.

- User-Friendly Interface: An accessible interface for building AI solutions without needing technical expertise.

- Customer Testimonials: Praised by various CEOs and CTOs for its simplicity, effectiveness, and remarkable productivity gains.

- Dedicated Support: Outstanding support from the leadership team, helping to pilot and accelerate complex deployment projects.

- Versatile Use Cases: Ranges from speeding up RFP responses with AI drafting to assisting clinical support with custom AI co-pilots and enhancing students' learning experiences.

- Investment and Backing: Successfully raised $3M Seed Round from renowned entities Google and Y Combinator to accelerate growth.

Pricing

1. Free Plan:

• Cost: $0/month
• Runs per month: 100
• Projects: 1
• Team members: Individual usage
• Support: Community support in Discord
• Features: Basic features to explore Stack AI’s capabilities

2. Starter Plan:

• Cost: $199/month
• Runs per month: 10,000
• Projects: Up to 3
• Team members: Individual usage
• Support: Community support in Discord, with all data loaders included
• Features: Includes a variety of integrations such as OpenAI, Anthropic, Zendesk, Zapier, and others, along with a 7-day free trial

3. Team Plan:

• Cost: $899/month
• Runs per month: 50,000
• Projects: Up to 15
• Team members: Up to 5
• Support: Community and dedicated support (email) in Discord
• Features: All features and data loaders in Starter, plus additional integrations and support options

4. Enterprise/Academia Plan:

• Cost: Custom (Contact Sales for pricing)
• Runs per month: Custom
• Projects: Custom
• Team members: Custom
• Support: Dedicated support including Slack channel, weekly support hours, and solution engineers
• Features: Comprehensive features including all integrations, dedicated infrastructure, on-premise deployment, private cloud, access control, SSO (Single Sign-On), and compliance options (SOC 2, HIPAA, GDPR)