Juma AI

Overview

Juma is an AI workspace built for marketing teams and agencies to collaborate on content creation. It connects multiple AI models (ChatGPT, Claude, Gemini) in one platform, allowing teams to share chats, build custom AI assistants, and maintain brand consistency. You can switch between models mid-conversation and connect your brand guidelines to ensure everyone creates on-brand content together.

Key Features

Multiple AI Models: Access ChatGPT, Claude, Gemini and more in one workspace, switching between models mid-conversation based on your needs.
Shared Projects: Organize work by client or campaign with shared context that keeps all team chats aligned and on-brand.
Custom AI Assistants: Build assistants connected to your company knowledge that understand your products, services, and marketing strategy.
Team Collaboration: Shared chats let your whole team jump into the same AI conversation and build on each other's ideas in real-time.
Visual Content Generation: Generate professional marketing visuals, social posts, and campaign graphics without design skills or external tools.
Enterprise Security: SOC 2, ISO 27001, HIPAA, SSO, and end-to-end encryption with guarantee your data is never used for model training.
Project Knowledge: Add instructions, documents and web pages to a Project once, and AI maintains context across all chats in that Project.

Pros

Multi-Model Access: Switch between different AI models for specific tasks (ChatGPT for strategy, Claude for writing, Gemini for analysis) in one platform.
Time Savings: Teams report saving 12.5 hours per person per week on content creation, with some agencies saving 50+ hours monthly.
Cost Efficient: Add unlimited team members under one account instead of paying for individual AI subscriptions across the team.
Responsive Support: Users consistently praise the support team for being helpful and actively incorporating user feedback into improvements.
Strong Security: Compliant with SOC 2 Type 2, HIPAA, ISO 27001 and GDPR for enterprise-level data protection.
Scalability: Agencies report scaling from minimal output to 160 articles per month with 60% faster workflows.

Cons

No Deep Search Tool: Platform currently lacks advanced search functionality for finding specific chats or content within projects.
Feature Changes: As a growing SaaS platform, some features may change or be removed as the team tests what works best for users.
Context Awareness: The size and importance of LLM context windows is not very visible or intuitive for newcomers to understand.
Learning Curve: Teams need time to understand how to best organize projects and use different models for specific tasks.

Use Cases

Agency Content Scaling: Marketing agencies use Juma to manage multiple client campaigns simultaneously, organizing each client as a separate project with brand guidelines and switching between AI models for different content types. Teams report scaling from 20 to 160 articles monthly while maintaining quality and brand consistency.
SEO Content Production: SEO teams use Juma for keyword research, content clustering, and blog post generation by connecting their keyword data and brand voice to projects. They switch to Claude for long-form writing and ChatGPT for keyword analysis, saving 50+ hours monthly on content workflows.
Social Media Management: Marketing teams generate social media content across multiple platforms by building custom assistants trained on their brand guidelines and past successful posts. The team collaboration feature lets copywriters, designers, and managers review and refine content together in shared chats.
Email Campaign Creation: Teams build email sequences by connecting product details and customer data to projects, then use AI to draft personalized campaigns. The shared workspace lets marketers collaborate on messaging while maintaining consistent brand voice across all communications.
Ad Copy Testing: Performance marketers generate multiple ad variations quickly by switching between AI models for different creative approaches. They organize campaigns by platform (Google Ads, Facebook, LinkedIn) in separate projects and test dozens of variations in hours instead of days.
Client Reporting: Agencies use Juma to analyze campaign data and generate client-ready reports by feeding performance metrics into the AI workspace. Teams collaborate on insights and recommendations, with usage reports showing exactly how much time was saved on each client account.

Frequently Asked Questions

What AI models can I access with Juma?

Juma provides access to multiple leading AI models including GPT-5, Claude Sonnet, Gemini, and others. You can start with one model and switch to another mid-conversation, choosing the best model for each specific task. For example, you might use ChatGPT for strategy, Claude for long-form writing, or Gemini for data analysis.

How does Juma handle data security and privacy?

Juma is compliant with SOC 2 Type 2, ISO 27001, HIPAA, and GDPR standards. The platform includes SSO, SAML/SCIM, and end-to-end encryption. Your data is never used for model training, and legal contracts ensure conversations are processed and immediately deleted. Enterprise plans include additional admin controls and advanced security features.

What's included in the free plan?

The free plan includes 20 messages total for up to 5 users, with access to collaborative AI chat, shared Projects, and both GPT-5 and Claude Sonnet models. This lets small teams test the platform and experience core collaboration features before upgrading.

How much time can teams save using Juma?

Marketing teams typically save around 12.5 hours per person per week on content creation, editing, and formatting. Some agencies report saving 50+ hours monthly and achieving 60% faster workflows. Real users have scaled from minimal output to 160 articles per month using the platform.

Can I connect my own company knowledge to Juma?

Yes. You can build custom AI assistants connected to your company knowledge, including brand guidelines, product details, and marketing strategy. Add instructions, documents, and web pages to a Project once, and the AI maintains that context across all chats in that Project. This ensures everyone creates on-brand content that aligns with your strategy.

How does team collaboration work in Juma?

Shared chats let your whole team jump into the same AI conversation where everyone can see messages and build on each other's ideas. You can organize projects by client, use case, or team, and add comments on specific chats. Multiple team members can work under one account, which saves money compared to individual AI subscriptions.

What pricing plans does Juma offer?

The Free plan costs US $0 per month and includes one workspace, up to five users, and a total of 20 AI messages. This plan gives you access to shared projects, AI chat (with models like GPT-5 and Claude Sonnet), and basic integrations.
The Business plan costs US $20 per user per month (or US $25 per user per month with monthly billing). It offers one workspace, 50 AI messages per user per day, unlimited shared and private projects, image generation, standard integrations, and more stable team collaboration features.
The Growth plan costs US $35 per user per month (or US $40 per user per month with monthly billing). This plan unlocks unlimited AI messages, access to multiple AI models, full integrations, unlimited projects, usage reports, and all advanced features, making it ideal for teams requiring heavy AI usage.
The Enterprise plan uses custom pricing (you need to contact the vendor for a quote). It provides unlimited workspaces and users, full admin controls, advanced security and compliance (including encryption and data privacy), single sign-on (SSO), audit logs, custom onboarding or deployment options, and dedicated support.

Can I switch between different AI models in the same conversation?

Yes, this is one of Juma's key features. You can start a conversation with one AI model and switch to another mid-conversation based on your needs. This flexibility lets you use the best model for each specific task within your workflow without losing context or starting over.