Exscientia plc, an artificial intelligence-driven pharmatech company, engages in discovering, designing, and developing drugs. The company offers end-to-end solution of artificial intelligence (AI) and technologies for target identification, drug candidate design, translational models, and patient selection. In addition, the company focuses on small molecule drug candidates. Its platform enables to design candidate drug molecules, as well as to provide patients with drug therapies through AI guided assessment. The company was founded in 2012 and is headquartered in Oxford, the United Kingdom.

Exscientia plc

single-target-small-molecules

Exscientia is a global pharmatech company using patient-first artificial intelligence (AI) to discover better drugs, faster.

Our mission is to encode, automate and transform every stage of the drug design and development process, by combining the latest AI techniques with experimental innovation, to enable the design of patient centric drug candidates with an improved probability of success.

Our validated platform has delivered the first three AI-designed drugs to enter clinical trials and is the first AI system proven to improve clinical outcomes in oncology. We’ve significantly accelerated pre-clinical drug discovery, with 10x productivity improvement in delivering a drug candidate compared with industry standards. 

By actively applying AI to precision engineer medicines more rapidly and efficiently, we allow the best ideas of science to rapidly become the best medicines for patients.

Bill & Melinda Gates Foundation

Sanofi

SoftBank Vision Fund

Marshall Wace

BlackRock

Bristol Myers Squibb

GT Healthcare Capital Partners

Hongyou Investment

Novo Holdings

Casdin Capital

Pivotal bioVenture Partners

Mubadala

Exscientia

ICYMI: Watch Michael Krams, Chief Quantitative Medicine Officer and other veteran drug developers discuss best practices in designing clinical trial protocols in the “Trial Protocol Design Do's And Don'ts” webinar https://lnkd.in/ebF3wfa7 
#clinicaltrials #webinar

Dan Woodward, Cheminformatics Research Scientist, shared some great insights on Coverage Score, our active learning method to efficiently sample a given chemical space, today at the Ninth Joint Sheffield Conference on Chemoinformatics. 

To learn more about Coverage Score and how it may lead to faster model improvement and shorter hit to candidate ID, read Dan’s JCIM paper fully detailing the method: https://lnkd.in/eZXPxJE3

#research #learning #activelearning #drugdiscovery #drugdevelopment

Exciting opportunity to start your research career in structural bioinformatics, in an industry-funded collaboration between Exscientia and the University of York. 
#bioinformatics #structuralbioinformatics #phd #phdposition

Watch Garry Pairaudeau, CTO discuss how, at Exscientia, we’re transforming drug discovery using our AI-driven platform. 
https://lnkd.in/gyxqk9KD
#drugdiscovery #ai

There’s still time to register for next week’s Amazon Web Services (AWS)  event to hear from Tjelvar Olsson, Senior DevOps Engineer on how we’re using AWS as part of how we accelerate our drug discovery method development.

#aws #cloud #drugdiscovery

If you’re looking to learn more about the best practices in designing clinical trial protocols, don’t miss the webinar this week featuring insight from veteran drug developers including our own Michael Krams, Chief Quantitative Medicine Officer.
#clinicaltrials #webinar

Congratulations to Gregory Vladimer, VP Translational Research who has been recognised as an LGBTQ+ biopharma leader by Endpoints News. Greg has helped change the way the cancer drug development field looks at preclinical translational models, among other important advances.

Read more below about Greg and the other renowned scientists leading the way for LGBTQ+ inclusion in the drug development industry.

Professor Andrew Hopkins, Exscientia’s founder and CEO, is presenting as part of Institute for Population and Precision Health at the University of Chicago's Distinguished Seminar Series next week.

Register now to find out how Exscientia’s scientists and technology experts are tailoring and integrating #AI to facilitate the speed and efficiencies of innovative drug design, discovery and development and to also improve the quality and precision-targeting of future therapies. https://lnkd.in/eMvZ8_Pp

#drugdesign, #drugdiscovery

G. Su Jerwood, Gemma Perry and Garry Pairaudeau provided fantastic insights at SLAS Europe this week, showcasing Exscientia’s development of computer-aided biology approaches - combining design of experiments and automation for biochemical assay optimisation. 

Download our poster to learn more: https://lnkd.in/evuqcsEP

#slaseurope2023 #automation #designofexperiments

Today, we announced our 1Q 2023 financial results and provided a business update. Visit our website to listen to today’s $EXAI webcast at 1:30 p.m. BST / 8:30 a.m. ET 
https://lnkd.in/e_vRk4W7

	Dec '19	Dec '20	Dec '21	Dec '22	Dec '23
revenue			27.41M -	32.90M 20.01%	24.96M 24.14%
cost of revenue			17.12M -	40.20M 134.87%	53.44M 32.94%
gross profit			10.30M -	-7.30M 170.88%	-28.48M 290.20%
selling and marketing expenses					8.12M -
general and administrative expenses			25.78M -	46.40M 79.95%	45.33M 2.30%
selling general and administrative expenses			25.78M -	46.40M 79.95%	53.45M 15.19%
research and development expenses			44.09M -	155.60M 252.95%	141.59M 9.01%
other expenses	-700.16K -	-1.64M 134.55%	-3.78M 130.11%	-6.90M 82.60%
cost and expenses			83.21M -	235.30M 182.79%	248.48M 5.60%
operating expenses	14.26M -	25.40M 78.11%	66.09M 160.24%	195.10M 195.20%	195.03M 0.03%
interest expense					1.30M -
ebitda			-56.76M -	-229.40M 304.19%	-204.14M 11.01%
operating income			-55.79M -	-175.40M 214.38%	-223.52M 27.43%
depreciation and amortization			-963.22K -	-54M 5,506.18%	19.38M 135.89%
total other income expenses net			-444.56K -	5.70M 1,382.16%	17.38M 204.98%
income before tax			-56.24M -	-169.70M 201.76%	-206.14M 21.47%
income tax expense			-6.96M -	-26.50M 280.48%	-26.74M 0.91%
net income	-8.28M -	-30.37M 266.64%	-49.27M 62.25%	-143.20M 190.63%	-181.44M 26.70%
weighted average shs out	82.10B -	82.10B 0%	49.88M 99.94%	122.12M 144.85%	124.20M 1.70%
weighted average shs out dil	82.10B -	82.10B 0%	49.88M 99.94%	122.12M 144.85%	124.20M 1.70%
eps	-0.00 -	-0.00 300%	-0.99 247,400%	-1.17 18.18%	-1.46 24.79%
epsdiluted	-0.00 -	-0.00 300%	-0.99 247,400%	-1.17 18.18%	-1.46 24.79%

AI:EXSCIENTIA

Exscientia plc

Last Close

4.84

19/11 21:00

Market Cap

723.67M

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Volume Today

1.45M

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