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For press inquiries, please contact Simon Smith at simon@benchsci.com.

Our Story

About half a million scientists spend over $3 billion a year buying research antibodies for experiments. They use these essential reagents to detect and quantify proteins.

The Problem: Wasted Money, Wasted Time, and Delayed Drugs

Selecting antibodies slows the velocity of research and drug development. There are over 6,000,000 commercial antibodies, and vendors can't predict how each one will work in specific experiments. Data on antibody use is buried in biomedical papers, vendor catalogs, and independent validation databases. In part because this data is hard to find,  up to 50% of selected antibodies don't work in experiments.

This wastes resources and delays research projects. Our work with pharmaceutical companies  suggests each spends up to $1-3 million a year on commercial antibodies that do not work. Researchers also purchase unnecessary custom antibodies at $50,000 and 3-6 months to develop, spend days to select and weeks (sometimes months) to test and validate antibodies, and redundantly and unknowingly often validate  the same antibodies as colleagues within the same organization.

The Solution: AI-Assisted Antibody Selection

Data to solve this problem is buried in scientific publications. Technological advances now allow it to be decoded. This includes advances in machine learning to better interpret text and images, increases in processing power to perform this analysis at scale, and improvements in graph databases to map and extract insights from results.

This has enabled huge benefits from AI-assisted antibody selection. These include reducing the hard cost of consumables up to $3 million per year, accelerating projects by selecting antibodies in 30 seconds versus 12 weeks, empowering organizational purpose by alleviating manual publication searches and restoring research time to scientists, and providing an immediate turnkey application of AI to increase organizational efficiency.

BenchSci: The Leader in AI-Assisted Antibody Selection

BenchSci is the leader in AI-assisted antibody selection. We collate the world’s largest collection of antibody-specific data; identify biological entities in their text and images with proprietary, antibody-specific machine learning models; map their relationships in a knowledge graph that incorporates bioinformatics databases and ontologies; and provide an intuitive interface to select antibodies by protein target, technique, and other experimental variables.

As the emerging industry standard, BenchSci now powers AI-assisted antibody selection for more than 23,000 researchers at more than 2,000 academic institutions and 15 of the top 20 pharmaceutical companies.

 

 

FAST FACTS
Founded in
2015 by Tom Leung, David Q. Chen, Elvis Wianda, and Liran Belenzon
Headquarters
Toronto, Canada
Employees
48
Official launch
July 2017
Papers analyzed
9,900,077
Antibody products analyzed
6,063,179
Antibody use cases identified
6,557,028
Press Articles
Sanbio B.V. Partners with BenchSci to Augment Visibility and Purchasability of Its IHC Antibodies
Sanbio B.V.
Sanbio B.V. Partners with BenchSci to Augment Visibility and Purchasability of Its IHC Antibodies
Partnership will leverage BenchSci’s AI to help scientists find MONOSAN® antibodies for running successful IHC experiments.
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ABclonal Technology Partners with BenchSci to Boost Discoverability of its Novel Products
ABclonal
ABclonal Technology Partners with BenchSci to Boost Discoverability of its Novel Products
Partnership will leverage BenchSci’s AI to help scientists find the right reagents and enable ABclonal to compete on product quality.
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Biotech Chief Data Officer Milind Kamkolkar Joins Advisory Board of AI-Powered Life Science R&D Accelerator BenchSci
BenchSci Press Release
Biotech Chief Data Officer Milind Kamkolkar Joins Advisory Board of AI-Powered Life Science R&D Accelerator BenchSci
Appointment reinforces Google AI fund-backed company's leadership in using machine learning to drive faster, more cost-effective, and higher impact biomedical discoveries.
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Active Motif Partners with BenchSci to Increase Discoverability of Epigenetics-related Products
Active Motif
Active Motif Partners with BenchSci to Increase Discoverability of Epigenetics-related Products
Partnership will leverage BenchSci’s artificial intelligence to help researchers find the right antibodies faster than ever before.
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Gradient Ventures Founding Partner Ankit Jain Joins Board of Biomedical AI Startup BenchSci
BenchSci Press Release
Gradient Ventures Founding Partner Ankit Jain Joins Board of Biomedical AI Startup BenchSci
Appointment made as BenchSci announces a more than 5x increase in biomedical experiments understood by its machine learning technology.
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Proteintech Partners With BenchSci to Boost Researchers' Antibody Data Searches
Proteintech
Proteintech Partners With BenchSci to Boost Researchers' Antibody Data Searches
Partnership will accelerate science with "rocket fuel" that lets researchers make better decisions faster than ever before.
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GeneTex Partners With BenchSci to Augment Antibody Catalog Publication Data
GeneTex
GeneTex Partners With BenchSci to Augment Antibody Catalog Publication Data
Partnership will use BenchSci's artificial intelligence to help researchers run successful experiments with the right antibody.
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Bio-Techne Partners with BenchSci to Enhance Available Publication Data of Its Commercial Antibodies
Bio-Techne
Bio-Techne Partners with BenchSci to Enhance Available Publication Data of Its Commercial Antibodies
Novus Biologicals and R&D Systems will list their catalog of antibodies on BenchSci to increase the amount of published antibody validation data available to researchers.
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Accomplished Life Science Entrepreneur Karen Padgett Joins BenchSci Advisory Board
BenchSci Press Release
Accomplished Life Science Entrepreneur Karen Padgett Joins BenchSci Advisory Board
Founder of Novus Biologicals will guide use of AI to empower antibody suppliers.
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Thermo Fisher Scientific to Provide Antibody Publication Data on its Website
Thermo Fisher Scientific
Thermo Fisher Scientific to Provide Antibody Publication Data on its Website
Researchers can view published data on antibodies directly on the website to help better understand antibody performance.
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BenchSci Ranked One of the Top 25 Up and Coming Technology Companies on the Branham300
BenchSci Press Release
BenchSci Ranked One of the Top 25 Up and Coming Technology Companies on the Branham300
Recognition follows news of BenchSci becoming the first non-US company to receive investment from Gradient Ventures, Google’s AI-focused venture fund.
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Lab Launch Inc. Partners with BenchSci to Provide Startups Time-Saving Research Tools
BenchSci Press Release
Lab Launch Inc. Partners with BenchSci to Provide Startups Time-Saving Research Tools
BenchSci, an AI-driven platform that decodes published figures to help scientists find antibody usage data, is partnering with Lab Launch Inc., a nonprofit biotechnology incubator supporting startups in the Los Angeles area.
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The Path to VICTORy – a Beginner's Guide to Success Using Commercial Research Antibodies
The Company of Biologists
The Path to VICTORy – a Beginner's Guide to Success Using Commercial Research Antibodies
Author Simon L. Goodman cites BenchSci as a tool that can help address issues with antibodies that contribute to the reproducibility crisis.
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Karger Publishers Partners with BenchSci to Help Scientists Find the Right Products for Their Experiments
Karger
Karger Publishers Partners with BenchSci to Help Scientists Find the Right Products for Their Experiments
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Canada's BenchSci Gets Cash Infusion from Google Parent Alphabet
CBC
Canada's BenchSci Gets Cash Infusion from Google Parent Alphabet
"Tom Leung, co-founder and chief scientist of BenchSci, talks about Google’s parent, Alphabet, investing millions in the Toronto biomedical startup, which uses AI to help scientists sift through research papers for scientific discoveries and product reviews."
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Alphabet's AI Venture Capital Firm Makes First Investment in Canada with BenchSci
The Globe and Mail
Alphabet's AI Venture Capital Firm Makes First Investment in Canada with BenchSci
"Alphabet Inc.’s nascent artificial-intelligence venture fund has picked its first Canadian investment: BenchSci, a Toronto biomedical startup that uses machine learning to scan millions of data points in biomedical research papers, generating searchable results to help shorten the drug discovery process."
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BenchSci Raises US$8 Million Series A to Accelerate Biomedical Discoveries with AI-Powered Search Engine for Biological Products
BenchSci Press Release
BenchSci Raises US$8 Million Series A to Accelerate Biomedical Discoveries with AI-Powered Search Engine for Biological Products
Latest round of funding from iNovia Capital, Gradient Ventures, and others positions BenchSci to execute on its mission, and take its place in the market as one of the world’s top machine learning companies.
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Responsible Science
Science: Disrupt
Responsible Science
BenchSci CSO Tom Leung contributes to a discussion on startups making science more responsible through new technologies and tools.
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Wiley Partners with BenchSci to Give Scientists Unprecedented Insight into Biological Products
BenchSci Press Release
Wiley Partners with BenchSci to Give Scientists Unprecedented Insight into Biological Products
John Wiley and Sons Inc. today announced that it has partnered with BenchSci, a life science machine learning software startup, that aims to improve the speed and effectiveness of selecting biological products for experiments.
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Biomedical Researchers to Benefit from New Partnership Between Springer Nature and BenchSci
Springer Nature
Biomedical Researchers to Benefit from New Partnership Between Springer Nature and BenchSci
Springer Nature has partnered with BenchSci, making data from over 200 of the world's top journals available to assist scientists in finding biological products for experiments.
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Top 17 Research Tools of 2017
LabWorm
Top 17 Research Tools of 2017
BenchSci made LabWorm's top 17 trending research tools of 2017 that were most appreciated and used by the LabWorm community.
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In the Lab of the Future, Robots Run Experiments While Scientists Sleep
Forbes
In the Lab of the Future, Robots Run Experiments While Scientists Sleep
"When it comes to experimental design, companies like BenchSci use artificial intelligence to streamline the process, in this case by finding antibodies to target proteins of interest."
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BenchSci’s David Chen: Startup CTOs Need to Be Ready for ‘Unknown Unknowns’
BetaKit
BenchSci’s David Chen: Startup CTOs Need to Be Ready for ‘Unknown Unknowns’
Our CTO, David Chen, was featured in startup news publication BetaKit about using machine learning to help medical researchers solve complex medical challenges.
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Game Changer: Benchsci
UHN Research
Game Changer: Benchsci
"BenchSci’s platform will effectively standardize experimental protocols, increase researchers’ productivity, and prevent usage of inappropriate antibodies that lead to erroneous results."
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MilliporeSigma Hosts Leading Scientists at Life Science Symposium in Greater Boston
MilliporeSigma
MilliporeSigma Hosts Leading Scientists at Life Science Symposium in Greater Boston
BenchSci CEO and co-founder Liran Belenzon joined world-renowned academic researchers, technology experts, and industry entrepreneurs to speak about advances and opportunities in life science.
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ASPET Partners with BenchSci to Increase Discoverability of Its Journals
BenchSci Press Release
ASPET Partners with BenchSci to Increase Discoverability of Its Journals
BenchSci will now include four ASPET journals on its platform to increase discoverability of relevant scientific compounds discussed within ASPET-published articles.
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The Great Reproducibility Problem
Labratory News
The Great Reproducibility Problem
"Using filters for specific experimental contexts, BenchSci can help scientists quickly and easily identify the most relevant published figures and associated antibodies within seconds, ensuring that scientists can make an evidence-based decision on antibody selection."
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BenchSci Partners with The FASEB Journal to Increase Discoverability of Content
Benchsci Press Release
BenchSci Partners with The FASEB Journal to Increase Discoverability of Content
BenchSci will now include FASEB’s flagship publication, The FASEB Journal (FJ), on its platform to increase discoverability of relevant scientific compounds discussed within The FASEB Journal-published articles.
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Science Startups Make Research Faster, Cheaper, More Accurate
Globe and Mail
Science Startups Make Research Faster, Cheaper, More Accurate
"BenchSci has taught a computer to read scientific papers and identify the specific antibodies used as well as other variables, such as specific techniques, tissues and disease used in the experiment."
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