SuperApp
SuperApp provides a collaborative AI workspace where teams and AI agents work together in a single live thread, creating documents, slides, spreadsheets, and interactive artifacts without losing context. The platform automatically routes each task to the best AI model for that step—balancing quality and cost across Claude, GPT, Gemini, Grok, and Muse—while maintaining a full audit ledger of every action for traceability and governance.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Teams collaborating with AI typically scatter discussions across chat apps and lose the context needed for decision-making. They also face vendor lock-in and must manually choose between AI models, balancing cost and quality without clear visibility into how AI-generated work was produced.
Solution
SuperApp unifies team communication and AI assistance in a single live thread, keeping discussions, files, decisions, and finished work connected. The platform automatically routes each task to the best AI model for that specific step—balancing quality and cost without vendor lock-in—and makes models interchangeable plug-ins rather than binding conversations to a single provider. People and AI work together in real time to create, review, revise, and approve documents, slides, spreadsheets, and interactive artifacts directly where the thinking happened. Every input, model request, tool call, and output is written to a ledger the customer owns, making all work traceable, versioned, and governable.
Target Audience
Primary customers are teams and enterprises that need collaborative AI workspaces with model flexibility—ranging from startups and professional services firms to regulated industries requiring traceability and data governance, as well as large organizations needing dedicated or air-gapped deployments.
Features
- Automatic model routing by capability—classifying, grounding, code execution, image generation—across Claude, GPT, Gemini, Grok, and Muse, resolved request by request
- Model pinning, comparison of several models in the same shared context, and configurable model menus without application rewrites
- Full audit ledger recording every input, model request, tool call, and output with checkpoint evidence for reconstructing runs and explaining any decision
- Built-in human approval gates where the agent stops and waits for an answer before consequential actions
- Collaborative document, slide, spreadsheet, and artifact creation with version history and reverts within the conversation thread
- Multiplayer by default: people and AI agents build together in real time across web, desktop, iOS, and Android
- Enterprise single-tenant deployments with dedicated stacks, region control, isolation/residency requirements, and portable cloud architecture