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, 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 pack leader) reads the problem, assigns the right 2–3 specialists, chains their responses, facilitates standups, logs decisions to #decisions, and posts action items to #backlog automatically.
For high-stakes decisions, Rex runs any question through all five AIs independently — multiple passes each, no cross-visibility — then aggregates results using crowd statistics. The median self-corrects for outliers. Structural dissent from architecturally independent models is flagged automatically, not averaged away.
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 keeps 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. More engines means more disagreement, more cross-checking, and a stronger crowd.
Question: How many total AI chatbot conversations will be conducted globally in June 2026?
44 independent AI responses. Mean: 171B | Crowd median: 10.75B | Std dev: 739B
The median neutralized Gemini's 4.9 trillion outlier completely. Mean was destroyed. Median held firm. This is why crowds beat individuals.
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. Rex acts 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: