AskQuorum AI is an AI lab building systems where multiple models converge into one trustworthy answer. Five products. One philosophy. Zero compromise.
Every large language model has blind spots. GPT-4o excels at reasoning but can miss nuance. Claude is careful and thoughtful but sometimes overly cautious. Gemini brings Google's knowledge graph but can hallucinate confidently. No single model is reliable enough to trust unconditionally.
AskQuorum AI was founded on a simple insight: if you ask the same question to multiple experts and synthesize their answers, you get closer to the truth. We apply this principle to AI. Our multi-model consensus engine queries multiple frontier AI models simultaneously, maps their claims, detects where they agree and disagree, and produces a single synthesized answer that's more accurate and more trustworthy than any individual model.
We call this approach AI consensus — and we believe it's the future of how humans will interact with artificial intelligence.
AskQuorum started as a personal frustration. When researching important decisions — medical questions, technical architecture, investment choices — we found ourselves opening ChatGPT, Claude, and Gemini in separate tabs, asking the same question three times, and manually comparing answers. The process was slow, repetitive, and error-prone.
We built the first version of AskQuorum to automate this workflow. What started as a simple query router evolved into something more powerful: a consensus engine that doesn't just aggregate responses, but actively analyzes them — extracting claims, measuring agreement, weighting confidence, and flagging contradictions.
From that core engine, an entire ecosystem grew. Kavya AI brought multi-model intelligence to WhatsApp — an AI assistant that remembers you, searches the web, generates images, runs code, and automates browser tasks, all from a chat window. The CLI brought the same power to the terminal. And we're just getting started.
No single AI should be the final authority. We cross-reference multiple models to reduce hallucination and increase reliability.
When models disagree, we show it. Users see where answers converge and where they diverge — no hidden confidence scores.
Kavya lives in WhatsApp — no apps to install, no accounts to create. Just message a number and start using frontier AI.
Your conversations are yours. We use AES-256 encryption for credentials, isolated containers per user, and never train on your data.
AskQuorum AI is not a single product — it's an ecosystem of five products, all powered by the same multi-model consensus engine. Each product serves a different interface and use case, but they share the same core philosophy: multiple AI minds, one trustworthy answer.
At the heart of AskQuorum is our proprietary consensus engine. When you ask a question, here's what happens behind the scenes:
Your query is sent to multiple frontier AI models — GPT-4o, Claude, Gemini, Grok, and others — simultaneously. Each model processes your question independently. Our engine then performs claim extraction — breaking each response into discrete, verifiable claims. It maps these claims across models, identifies points of agreement and disagreement, weights each claim by model confidence and track record, and synthesizes a final answer that's transparent about where models converged and where they diverged.
For Kavya, this same engine powers intelligent model routing — selecting the best model for each task. Coding questions go to models that excel at code. Creative writing goes to models with stronger language skills. Complex reasoning queries trigger multi-model consensus. The result is an AI assistant that's consistently better than any single model.
Our infrastructure runs on isolated Apple Container VMs with per-user sandboxing, AES-256 encrypted credential storage, and network-level isolation. Every user gets their own secure environment — no shared state, no cross-contamination.
Have questions, partnership inquiries, or feedback? We'd love to hear from you.