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BenchSci

BenchSci builds AI that reads biomedical research the way a PhD scientist would, turning millions of papers and experiments into a knowledge graph pharma teams use to pick reagents and design preclinical studies. Founded in Toronto in 2015, its ASCEND platform serves 16 of the top 20 global pharmaceutical companies (company count, 2026; 14 of 20 at its 2023 TechTO talk).

AI for drug discoveryTorontoFounded 2015benchsci.com
~292Employees after the January 2024 (~17%) and 2025 layoff roundsLinkedIn, July 2026
$218M CADOfficial total raised (US$170M) through the May 2023 Series D — still the latest disclosed round as of July 2026BenchSci press release / BetaKit, May 2023
14 of 20Top-20 global pharma companies as customers, as of the April 2023 TechTO talk (the company's own 2026 count is 16 of 20)
$130M+Raised across seven rounds — Liran Belenzon's framing from the April 2023 talk era; official total is the $218M CAD above

The people

Liran BelenzonCo-Founder & CEO · 1 TechTO talk
TL
Tom LeungCo-founderprofile coming
DC
David Q. ChenCo-founderprofile coming
EW
Elvis WiandaCo-founderprofile coming

What they build

ASCEND by BenchSciAI platform that maps disease biology to help preclinical teams triage targets, explore mechanisms, and generate hypotheses, with human-in-the-loop review from a team of staff scientists.
AI-Assisted Reagent SelectionThe original application that reads experimental evidence from published papers so scientists can choose the right antibody, RNAi, or CRISPR reagent, used across thousands of research facilities worldwide.

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On the TechTO stage

Every talk is searchable — ask the archive about BenchSci

About

BenchSci started in 2015 when four founders met at the University of Toronto's Creative Destruction Lab and set out to teach a computer to understand science the way a PhD scientist does. Its first product, AI-Assisted Reagent Selection, read the experimental data buried in millions of published papers so bench scientists could find the right antibody, then RNAi and CRISPR reagents, faster. That grew into ASCEND, an AI platform that maps disease biology to help pharma teams triage targets, explore mechanisms, and cut trial-and-error out of preclinical R&D. At its TechTO-stage peak the company had grown past 400 people, served 14 of the top 20 global pharmaceutical companies and thousands of research facilities, and had raised over $130M across seven rounds. The years since brought a reset: layoff rounds in January 2024 (~17% of staff) and 2025 took headcount to roughly 292 (LinkedIn, July 2026), while the official total raised stands at $218M CAD (US$170M) through the May 2023 Series D.

Backers

  • Generation Investment Management (led the 2023 Series D)
  • Inovia Capital (led the Series A; investor across later rounds)
  • TCV (Series D)
  • F-Prime Capital (led the Series B)
  • Gradient Ventures, Google's AI fund (Series A)
  • Golden Ventures (early-stage investor)

Around the web ×6

Quick answers

What does BenchSci do?

BenchSci taught a computer to understand science like a PhD scientist and built its ASCEND platform on top of a knowledge graph drawn from millions of biomedical papers and experiments. Pharma teams use it to pick reagents, map disease biology, and cut trial-and-error out of preclinical drug discovery.

Who uses BenchSci?

As of its 2023 TechTO talk, BenchSci served 14 of the top 20 global pharmaceutical companies plus thousands of research facilities; the company's own count as of 2026 is 16 of the top 20. The company has also announced partnerships with Sanofi, Thermo Fisher Scientific, and Mila to develop AI for drug discovery.

Who founded BenchSci and when?

It was founded in Toronto in 2015 by Liran Belenzon, Tom Leung, David Q. Chen, and Elvis Wianda, who met at the University of Toronto's Creative Destruction Lab. Belenzon is co-founder and CEO.

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Maintained by TechTO · facts sourced and dated · last reviewed Jul 13, 2026