We built Ubik Studio because in professional research settings, or fields where accurate citation is required, AI tools kinda flop. Models hallucinate citations with total confidence and you are locked into one provider. Multi-hop tasks degrade in quality. Context engines fail on file-based work. And without step-by-step approval flows, humans now spend more time verifying AI work than doing the work itself, this is super strange.
We really believe that a successful AI use requires expert-level human judgment and verification. Researchers would rather work slower with certainty than fast and wrong.
Since we started building Ubik 2 years ago, we've focused on an assistive, human-in-the-loop design. We're model-agnostic and built-ready for the near future where local models run effectively on personal computers. We've spent all our research effort on the hard problems: multi-hop reasoning across complex tasks that require gathering sources, maintaining file context, and generating text with accurate evidence attribution. We've built a context engine and citation engine that our agents use to cite accurately and cross-analyze documents without hallucination across models.
Our HITL-AI design gives you control, transparency, and capabilities that mainstream AI tools lack. Our current users are professionals, researchers, and grad students doing work where accuracy and attribution are non-negotiable. Ubik Studio delivers a Cursor-like experience for professional researchers who struggle to integrate tools like Claude, ChatGPT, or NotebookLM into their high-level workflows.
We would love and appreciate your feedback, everything is public we have some paying users (super proud), but ofc we are always learning <3
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