We don't trust one AI.
So we built one that trusts none.
Omniqra is a multi-model synthesis engine. Every question runs through the world's best AIs in parallel, then a dedicated judge model fuses the strongest answer — verified, cited, and free of single-model bias.
Make AI answers trustworthy by default.
Every leading AI has blind spots. GPT hallucinates citations. Gemini misses nuance. Claude over-hedges. We believe the right answer almost never comes from one model — it comes from comparing them in real time and letting a judge resolve the disagreement. That's Omniqra.
Born from a contradiction.
In 2025, I caught GPT-5 confidently inventing a court ruling that didn't exist. The same week, Gemini gave me the right answer to a chemistry question that GPT had completely botched. Then Claude flagged a safety risk that both had missed.
Three of the world's most capable AIs. Three completely different answers. None of them knew they were wrong.
That's when it clicked: the problem isn't model quality — it's single-source trust. Real experts don't rely on one opinion. They triangulate. So we built an AI that does the same.
"If three of the smartest minds in the room disagree, the answer isn't to pick one — it's to understand why they disagree and synthesize the truth."
Three steps. One trusted answer.
No model picking. No prompt engineering. No tab switching. You ask once — we orchestrate the rest.
Parallel dispatch
Your prompt fans out simultaneously to two of the strongest frontier models — selected dynamically based on the task domain (reasoning, code, vision, research).
Cross-model audit
Our synthesizer compares both responses, detects contradictions, flags hallucinated facts, and surfaces what only one model caught — so nothing falls through the cracks.
Verified synthesis
You get a single, structured answer — the strongest reasoning from each model, conflicts resolved, with the source models cited so you always know where insights came from.
Powered by the world's best models
Principles we refuse to compromise.
Truth over speed
A wrong answer in 1 second is worse than a verified one in 8. We add seconds — and remove hallucinations.
No single source of bias
Every model has values baked in. By blending multiple, we cancel out the noise and surface what's actually consistent.
Your data is yours
No training on your prompts. No selling logs. Conversations are encrypted, and you can delete history any time.
Radically simple
No model dropdowns. No "system prompts". No subscription puzzles. You ask. We answer. Pay-as-you-go credits.
Show our work
Every Omniqra answer shows which models contributed — and where they disagreed. Transparency isn't optional.
Accessible to anyone
Free tier means students, researchers, and curious minds get the same model stack as Fortune 500s. AI shouldn't be paywalled.
From frustration to framework.
The contradiction
Three top AIs give three contradicting answers to the same factual question. The insight: trust isn't a model problem — it's a comparison problem.
First synthesis prototype
Hand-built pipeline routes a single prompt to GPT + Gemini + Claude in parallel, then runs a 4th model as judge. Accuracy on factual benchmarks jumps 40%.
Closed beta
Doctors, lawyers, and engineers stress-test Omniqra against edge cases. Hallucination rate drops 71% vs. single-model baselines.
Public launch
Omniqra opens to the world with a free tier, threaded chat history, and pay-as-you-go credits. The synthesis engine is now live across 7+ frontier models.
Specialist routing & live citations
Domain-aware model selection (medical, legal, code), real-time web citations, and a public benchmark dashboard so anyone can audit our claims.
A small team. Big obsession with accuracy.
Omniqra is built by an independent team of engineers and researchers who'd rather ship one trustworthy product than ten flashy ones.
The Omniqra Team
We come from backgrounds in ML research, distributed systems, and product design. We're united by one belief: AI should be audit-able by default. We're hiring the curious — drop us a line.
Asked & answered.
How is Omniqra different from ChatGPT or Gemini?
ChatGPT, Gemini, and Claude are single models — you get one perspective. Omniqra runs your prompt through multiple frontier models in parallel and uses a dedicated judge model to synthesize the most accurate, complete answer. It's the difference between asking one expert and convening a panel.
Is it really more accurate, or is that marketing?
Both. On our internal benchmarks across medical, legal, coding, and research questions, Omniqra reduces hallucinations by 71% and improves factual accuracy by 94% vs. the best single model. See our case studies for blind side-by-side comparisons.
Do you train on my conversations?
No. Your prompts are never used to train any model. Conversations are encrypted in transit and at rest. You can delete your history at any time, and we honor full data export requests.
What does it cost?
Free tier includes 3 questions per day — no credit card needed. Beyond that, it's simple pay-as-you-go credits with bulk-discount plans for heavier use. No surprise subscriptions.
Which models do you use?
Currently OpenAI GPT-5.5, GPT-5.4 Pro, Google Gemini 3.1 Pro, Gemini 2.5 Pro, and Anthropic Claude Sonnet — orchestrated by our internal synthesis judge. We add new frontier models as they prove themselves.
Can I see which model said what?
Yes. Every Omniqra response shows the candidate answers from each contributing model alongside the synthesized final answer. You can audit the reasoning, not just trust it.
Ask once. Get the best of every AI.
Free to start. No credit card. 3 questions a day, on us — using the same multi-model engine our paid users get.