He blocked 300-pound defensive linemen for a living. Now he wrangles 200 million research papers - and makes them talk back.
Eric Olson: the only founder who studied "Organizational Change" and ended up changing how the world reads science.
Type "does intermittent fasting work?" into most search bars and you get a fight: a thousand opinions, ranked by who paid for the click. Type it into Consensus and you get something stranger - a tidy read of what the actual studies found, pulled straight from peer-reviewed journals, with a meter showing how much the researchers agree. The company behind that trick is run by a man who used to play offensive line.
Eric Olson grew up in Sudbury, Massachusetts, and went to Northwestern University to play football. Right tackle. The job is unglamorous by design - you protect other people while taking the hits yourself, and the only time anyone says your name is when something goes wrong. He kept the position from 2012 to 2016 and graduated with a degree in Organizational Change from the School of Education and Social Policy, which is not the resume anyone expects from an AI founder. He then stacked a Master of Science in Predictive Analytics on top of it, which is.
After Northwestern, Olson landed at DraftKings in Boston as a data scientist working on sportsbook analytics. The work was numbers all day, and like a lot of quantitatively-minded people, he spent his off hours reading science non-fiction and listening to podcasts with researchers. Somewhere in there he hit the same wall everyone hits: when you want to know what the best evidence actually says about a question, the open internet is a terrible place to find out. The answer is buried in journals written for specialists, behind paywalls, in language designed to be precise rather than readable.
"I found such value in this content that I wanted a tool where I could quickly access what experts and the best evidence had to say on any topic," Olson has said. The tool did not exist. So he built it.
In 2021 he co-founded Consensus with Christian Salem, who he already knew well - they had been teammates on the Northwestern football roster, Olson at right tackle and Salem at backup quarterback. Both came from families of researchers and teachers. Both, in their words, "bonded over a shared love for science but felt like outsiders looking in." That phrase is the whole company. Consensus exists, Olson says, to make sure "no one feels like an outsider to science."
What they built is not a chatbot that makes things up. It is a search engine wrapped in language models rather than a language model pretending to be a search engine - a distinction Olson is careful to draw. "We're not training a model from scratch and dealing with the problems that OpenAI or Google face with their massive language models full of data," he explains. "Instead, we built a search engine with language models around it." The papers are the ground truth. The AI's job is to read them faster than you can and report back honestly.
Under the hood, Consensus leans on vector search - matching the meaning of your question against the meaning of millions of papers, not just the keywords. "Vector search adds a layer of intelligence by understanding meaning and intent, something keyword search can't do," Olson says. The result reads less like a list of blue links and more like a briefing.
Olson is also opinionated about the business model, and that opinion is the quiet radical part. In an essay titled "Your Search Engine Doesn't Love You Back," he argued that an ad-funded search product can never give you a truly unbiased answer, because its incentives point at advertisers and not at you. Consensus charges a subscription instead. "We are striving to be one piece of the future landscape of premium, ad-free, subscription search products," he wrote. It is a bet that people will pay for an answer engine that has no reason to lie to them.
Consensus launched publicly in September 2022 and grew quickly inside the place that needed it most: academia. By the time the company was telling its story to the press, it was serving more than 5,000 universities worldwide and indexing north of 200 million scientific articles. In 2024 it raised an $11.5M Series A led by Union Square Ventures, with Nat Friedman and Daniel Gross - two of the most closely watched investors in AI - joining in. Across its rounds the company has reportedly pulled in tens of millions in total funding.
Olson runs it as the CEO, with a small senior team that includes a machine learning lead, a software engineering lead, and a founding data scientist. He is the kind of founder who talks more about the user's problem than the model's parameters, which tracks for someone whose entire athletic career was about doing the unglamorous work so someone else could score.
The aspiration is bigger than a better search box. Olson frames Consensus as a way to "help the world find, understand and create good science" - and the through-line from the football field to the data desk to the company is consistency of temperament. Protect the people relying on you. Take the hit so they don't have to read forty abstracts. Tell the truth about what the evidence says, even when the truth is "it's mixed." For a category that has spent two decades optimizing for clicks, that is a genuinely contrarian product to build.
An AI search engine reading 200M+ peer-reviewed papers to surface evidence-based answers.
$11.5M Series A led by Union Square Ventures, with Nat Friedman and Daniel Gross.
Adopted across 5,000+ universities worldwide since the 2022 public launch.
Premium and ad-free by design - the incentives point at the user, not advertisers.