Two years of failed AI integrations have killed blind trust. Enterprises are moving toward workflows that require human judgment and verification. Professional researchers would rather work slower with certainty than fast and wrong.
Since inception, we've focused on 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 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, and we are very proud to hear praise from our users like:
"I can check all citations for every sentences. Your software is the same as NotebookLm, even better because I can see some parts in PDF which link to the results from AI models. NotebookLM cannot open locations of PDF where the citations appear, just text. I don't care about text, I need precision, accurateness in every sentence."
We would love and appreciate your feedback, everything is public we have some paying users (super proud), but ofc we are always learning <3
If a model-agnostic AI workspace that centralizes writing, searching, document analysis, and LLM-assistance locally sounds helpful for you, please give it a try!