The origin story begins with a question more useful than a pitch deck. Ben Lamm called George Church, the Harvard geneticist whose work had helped make synthetic biology sound less like a shelf in science fiction and more like an engineering discipline. Lamm wanted to know what Church would choose if he could spend the rest of his career on one project. Church’s answer involved conservation, de-extinction and a woolly mammoth. For a founder trained to turn unruly technology into companies, this was irresistible raw material.
Lamm did not arrive with a pipette or a doctorate. He brought a finance and accounting degree from Baylor, five acquired startups and a practiced comfort with rooms where nobody speaks quite the same language. His career had already moved from e-learning to mobile design, gaming, conversational software and enterprise artificial intelligence. Biology was not an obvious next square on the board. It was a larger board.
The result was Colossal Biosciences, co-founded by Lamm and Church in 2021. Its public vocabulary is deliberately vivid: mammoth, dodo, thylacine, dire wolf, moa and bluebuck. Its working vocabulary is more technical: comparative genomics, cell reprogramming, genome editing, biobanking and reproductive systems. The animals invite everyone into the tent. The tools are what the company expects to keep.
The briefcase at Baylor
Long before ancient DNA, there was a professor’s desk. When Lamm was a junior at Baylor, he walked into Jim Moshinskie’s office, placed a briefcase on the desk, put his feet up and announced that they were going to be partners. Moshinskie later recalled that he did not even know the student’s name. He eventually joined Lamm’s first business, Simply Interactive, an e-learning company started while Lamm was still in school.
The episode contains the early version of Lamm’s operating style: direct, theatrical enough to be remembered and dependent on persuading someone with deeper subject knowledge to come along. Simply Interactive sold to Agile in 2010. That same year, Lamm co-founded Chaotic Moon, an Austin creative technology studio that paired designers and developers to make prototypes for large brands. Its work included a smart shopping cart and experiments with drones. Accenture bought the studio in 2015.
Team Chaos, a gaming company Lamm co-founded in 2013, went to Zynga in 2016. Conversable, built to help brands conduct automated conversations with customers, sold to LivePerson in 2018. Hypergiant applied AI to space, defense and critical infrastructure; Trive Capital acquired it in 2023. The sale prices were not disclosed, but the pattern was plain. Lamm repeatedly found an emerging interface, recruited a technical crew and made the idea legible to buyers.
A founder in the laboratory
Lamm is unusually candid about the boundary between his job and the scientists’ work. “I never built satellite software or gaming personally,” he said in a 2025 interview. “I’m just really good at hiring people much smarter than me.” The line is both self-deprecating and precise. His contribution is organizational: assemble specialists, translate among them, finance the timetable and keep a difficult project visible without reducing it to a technical white paper.
I’ve never seen the amount of context switching that happens at a company like Colossal.Ben Lamm, on moving among governments, scientists, investors and interviews
Context switching is often treated as a tax on serious work. For Lamm, it is the work. Colossal lives where research, regulation, animal welfare, Indigenous consultation, conservation, entertainment and private capital overlap. One meeting may concern a genome. The next may concern a habitat, an investor’s time horizon or the accuracy of a public claim. Lamm has said his earlier career trained him to see such projects as systems, then break them into parts that different teams can execute.
The mammoth is the door
The woolly mammoth functions as an entrance to a far more prosaic pipeline. Researchers compare ancient sequences with the genomes of living relatives, identify traits, make edits in cells and test what those edits do. Reproductive biology must then carry the edited cells toward an animal. For the mammoth program, the Asian elephant is the closest living reference. Colossal says it is targeting a first calf in 2028, a schedule made difficult by the elephant’s roughly two-year gestation.
Meanwhile, the same capabilities can be pointed at living species. Colossal and its foundation have described work in genetic rescue, cell preservation, biobanking and conservation partnerships. The company has also spun out Form Bio, which builds computational tools for life sciences, and Breaking, which works on plastic degradation. These are clues to the commercial thesis. The extinct animal supplies a memorable goal; the technical stack may produce software, biological methods and conservation services along the way.
I’d much rather have a de-extinction system and not need it than need a de-extinction system and not have it.Ben Lamm, August 2026
Lamm calls this a backup plan. His preferred metaphor is a second parachute: nobody hopes to use it, but the moment to build it is before the first one fails. It is a deft piece of founder language because it makes the ambition sound prudent rather than ornamental. It also raises the standard. A backup system must work, and it must not persuade anyone that prevention is optional.
The argument over the noun
De-extinction is a disputed term. After Colossal introduced three gene-edited canids in 2025 and called them dire wolves, critics argued that gray wolves engineered to express selected traits are not the extinct species. That disagreement is not a footnote. It concerns ancestry, behavior, ecological function and how much resemblance is required before restoration becomes recreation.
Colossal’s frame
A functionally restored animal can carry important traits of an extinct species, while the platform produces tools for species still alive.
The scientific challenge
Edited living relatives may be proxies rather than resurrected species, and an animal alone cannot recreate a vanished culture or ecosystem.
Lamm’s answer has increasingly emphasized the platform rather than purity of labels. If a cold-tolerant elephant produces knowledge useful to elephant conservation, or a genome pipeline helps rescue a shrinking population, the underlying tools can matter even when the public noun remains contested. This is sensible as strategy, though it does not dissolve the scientific debate. The words attached to an experiment influence public trust, funding and regulation.
His 2026 comments have become notably attentive to governance. “Technology is moving faster than our institutions,” he said. “That’s not an argument against innovation - it’s an argument for taking governance seriously.” Colossal points to external welfare review and layers of ethical oversight. The company’s task is to show that those systems have teeth as its projects move from cells and contained animals toward any proposed release.
Optimism with paperwork
Lamm has little patience for conservation messaging built only from catastrophe. He argues that doom can make people disengage, while a visible scientific project can restore curiosity and agency. This helps explain the filmmakers, public figures and cultural references around Colossal. Lamm is not embarrassed by spectacle. He treats attention as infrastructure: it recruits money, talent and young people who might decide that biology is where the future is being made.
There is a familiar founder’s wager here. A compelling story can pull the resources required to make an improbable project less improbable. Yet biology is indifferent to a launch campaign, and ecosystems do not accept a pitch deck. Colossal’s credibility will be earned in the long interval after announcement: peer-reviewed methods, transparent welfare standards, honest naming, durable partnerships and evidence that its tools benefit living species.
At 44, Lamm is still running the loop. He co-founded Astromech with Church to build AI that forecasts biological outcomes. He sits on the National Fish and Wildlife Foundation board and serves as a fellow and trustee of The Explorers Club. The categories continue to converge: software becomes biology’s instrument; conservation becomes an engineering customer; storytelling becomes a way to recruit the next specialist.
The useful lesson in his career is not “start a mammoth company.” It is to follow the layer beneath the product. Chaotic Moon built experiences on mobile computing. Conversable built interfaces on machine learning. Hypergiant moved AI into physical industries. Colossal is attempting to make genome engineering into a reusable platform. Each step edges closer to infrastructure, where the schedules get longer, the consequences get heavier and the sales demonstration becomes much stranger.
Lamm once said that seeing woolly mammoths rewilded in the Arctic was what excited him most about the future. It remains an image, not an accomplished fact. Between here and that imagined tundra lie years of cell work, gestation, animal care, ecological study, public scrutiny and regulation. The mammoth gets top billing. The real portrait of Ben Lamm is in the machinery he is assembling behind it.