Small businesses lack the multi-disciplinary advisory teams large competitors rely on. And a single AI — however powerful — reflects only one architecture, one training dataset, one optimization target. One perspective.
3Dogs Nexus orchestrates leading AI models as a coordinated pack in Slack — each contributing a distinct, independent perspective grounded in billions of training data points. The first working version starts with five engines, but the architecture is model-agnostic by design. The roadmap includes Perplexity, Grok, Llama, Cohere, Qwen, Claude variants, Gemini variants, OpenAI variants, and other qualified engines as they emerge. The goal is not a single chatbot. The goal is a true Wisdom of Crowds product — diverse AI systems debating, checking, challenging, and improving one another before the user acts.
Open Slack. Type a prefix. The right mind answers within seconds — and every response is logged to shared memory so the whole pack stays in context:
Rex (AI meeting secretary) facilitates structured standups, logs decisions to #decisions, and posts action items to #backlog automatically.
A SerpAPI-powered Deal Hunter actively searches Google and Reddit for live market signals — prospects mentioning pain points, competitors, and buying intent. The pack doesn't just answer questions. It hunts.
The current pack proves the concept. The long-term product is designed to keep adding independent minds: Perplexity for cited research, Grok for real-time social signal, Llama and Qwen for open-model diversity, Cohere for enterprise language workflows, and future engines as the market evolves. More engines means more disagreement, more cross-checking, and a stronger crowd.
27M+ US small businesses have no structured AI advisory capability. The global AI platform market exceeds $1.8T by 2030. No competitor offers a multi-model 'crowd intelligence' boardroom — 3Dogs Nexus is a category of one.
The operating cost is primarily API usage — the “gas” required to run multiple AI engines, SerpAPI searches, memory logging, and repeated consensus passes. A lean pilot can run near the low end. Heavy daily use across multiple users, full-pack debates, live research, app generation, and automated deal hunting can push costs toward the high end. Rex is designed to act as the compute governor: routing simple questions to one or two engines, reserving full-pack consensus for higher-value decisions.
Seeking $75,000–$150,000 in seed funding or grant support to fund: