Consensus raises $30M Series B to expand from academic search into a full research workspace

Consensus, the AI-powered academic search platform, is raising a $30M Series B led by Great Point Ventures to push beyond literature search into a broader research workspace.

The company has grown largely through organic word-of-mouth, leaning on the dense professional networks inside universities and research labs. That bottom-up motion has since converted into institutional sales: Consensus now works with over 100 universities, selling directly to library systems that then distribute access to students.

“We're announcing a $30M Series B today led by Great Point Ventures. To date the product has been very search-focused on the literature review use case, and we are now taking the product beyond search, moving into more of a workspace for researchers. We now work with over 100 universities where we sell directly to the library.”

Search to workspace

The product has been built around a single use case — literature review, helping researchers find and organize references. The Series B is meant to fund the expansion into adjacent surfaces that sit around that search moment: writing, editing, annotation, and eventually integration with tools researchers already use, including electronic lab notebooks and hosted computing environments like Google Colab.

Olson frames the research workflow as a sequence of distinct tasks rather than a single continuous loop, which is why he sees it as different from the coding IDE analogy that often gets applied. A researcher moves from discovery to writing to data analysis and back again, and each step requires a different surface. Cursor works because code editing is one continuous task; research is not.

Bet against the autonomous scientist

Olson is skeptical of the full automation thesis, where you push a button and discoveries come out. His argument is that the connective tissue of science, drawing links across domains, developing novel ideas through conversation and iteration, remains genuinely hard for current models. Consensus is focused on the parts of research that are automatable now: running iterative literature searches, surfacing relevant papers, managing references. The researcher stays in the loop on everything else.

The business is built on that distinction. If fully autonomous science becomes real, the product thesis breaks. For now, Olson is betting it doesn't, and the traction at 100-plus universities suggests that framing resonates with the people doing the actual research.