Subscribe Sign in

Health

Enveda secures $311M to bring more nature-derived AI drugs into clinical trials

TechCrunch
1 min read Rewritten in plain language

Artificial intelligenceBiotech and HealthStartupsClinical TrialsEnveda

Show what we removed Rules applied: D2 F2 all 30 rules
  • Enveda, a biotech startup that uses AI to discover new drugs in the natural world, has raised a $311 million Series E at a $2 billion valuation.
  • Viswa Colluru, an early employee of Recursion Pharmaceuticals, founded Enveda in 2019 to speed up the process of discovering these new drugs using AI and other techniques.
  • The startup is currently testing several drugs in patients, including one targeting severe skin conditions and another designed to help maintain weight loss after stopping GLP-1s.

3 sentences from our version of the report, chosen to cover it. Nothing here is written; every line is in the article below. How

The fresh funding with participation from Iconiq and others, doubles the valuation Enveda achieved 12 months ago.

Headline check

There is nothing in this headline a machine can check against the report: no figure, no name and no quotation.

Nothing was measured here, so nothing is claimed. How this is checked

Enveda, a biotech startup that uses AI to discover new drugs in the natural world, has raised a $311 million Series E at a $2 billion valuation. The fresh funding, which was led by Catalio Capital Management, with participation from Iconiq and others, doubles the valuation Enveda achieved 12 months ago.

The idea behind Enveda is that powerful medicines could be harnessed from plants and microbes, rather than synthesized from scratch in a lab. Viswa Colluru, an early employee of Recursion Pharmaceuticals, founded Enveda in 2019 to speed up the process of discovering these new drugs using AI and other techniques.

While AI hasn’t yet produced any FDA-approved drugs, Enveda is among the wave of companies advancing AI-discovered candidates into human clinical trials. The startup is currently testing several drugs in patients, including one targeting severe skin conditions and another designed to help maintain weight loss after stopping GLP-1s.

You are reading our version, not theirs. This is TechCrunch's report with its verdicts and loaded words taken out. Plain description stays, and so do adjectives that carry a fact, such as "former" or "federal". The reporting, the facts and the quotations are theirs — quotations are never edited — and the indicators beside it measure this version. Hover or tap Adjectives to see every one left in the text.

How this outlet filed it, and how we rewrote it

No other newsroom we read has filed on this event, so there is nothing to compare it with yet.

Outlet Niral ScoreAdjectivesHappiness
TechCrunchas they published this story 13.9 6 52.7
Mundane Readneutralized from TechCrunch 13.9 6 52.7

Sign in to react.

Comments

Nothing here yet.

Sign in to comment.

Questions

Readers can ask a question about this story here. Questions and answers are for subscribers. Sign in to read them.

Comments are read before they appear where anything in them needs a person to look. Nothing posted here is ever deleted; a comment taken down keeps its text and the reason, so the decision can be looked at again. How this works