Exscientia · conference-presentation
Exscientia | Investor Presentation Deck | 45 slides
45 pages · 4 arc beats · 2 loops
Exscientia | Investor Presentation Deck | 45 slides
Exscientia · 2023-05 arc beats above · slides in the middle · loops below · scroll → 2 LOOPS
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Deck intelligence map
4 coverage by narrative range · generated from this deck JSON
Narrative range 9 total
Metadata
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Metrics
Tools
Frameworks
Beats
Loops
Problem 2 slides 100% 2/2 slides 100% 2/2 slides · 9 hits — 0/2 slides
50% 1/2 slides 50% 1/2 slides 100% 2/2 slides 100% 2/2 slides Agitate 2 slides 100% 2/2 slides 100% 2/2 slides · 9 hits — 0/2 slides
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100% 2/2 slides 100% 2/2 slides 100% 2/2 slides Solution 4 slides 100% 4/4 slides 100% 4/4 slides · 18 hits — 0/4 slides
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100% 4/4 slides 100% 4/4 slides · 5 hits — 0/4 slides
Business Model 1 slides 100% 1/1 slides 100% 1/1 slides · 5 hits — 0/1 slides
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100% 1/1 slides 100% 1/1 slides · 2 hits — 0/1 slides
Slide inventory
45 every slide · same image gating as the playbook
01
The slide features a network graph illustration representing complex data connections.front_matter
02
The timeline uses a non-linear visual representation of time durations.present_framework
03
Uses a visual flow with three circular icons representing the three main problem areas.diagnose_problem
04
The image of a textured surface suggests a landscape of potential, reinforcing the 'digging' metaphor.present_framework
05
The diagram uses a series of feedback loops (circles with arrows) to represent the iterative nature of the process.frame_problem
06
Uses information theory (binary search) to illustrate why 20 questions are more effective than 20,000 guesses.present_framework
07
Uses a side-by-side comparison structure to explain the 'Why' behind two core processes.present_framework
Open slide detailBeat · Solution
08
The diagram uses a circular, iterative flow (infinity loop style) to represent the 'learning process' of the AI architecture.present_solution
Open slide detailBeat · Solution
09
The chart uses a horizontal bar format to represent development stages, with one program highlighted in orange.present_framework
Open slide detailBeat · Solution
10
The slide depicts a closed-loop system where data from physical experiments (In Vitro, Sample Management, Chemistry) feeds into a generative and predictive ML ppresent_framework
Open slide detailBeat · Solution
11
The slide uses a 3D molecular model and a dashboard-like UI to represent the various parameters (potency, selectivity, stability, etc.) involved in drug design.frame_problem
12
The diagram shows a multi-stage pipeline: Data Input -> Model Selection -> Generative Design -> Molecule Generation -> Active Learning -> Experimental Feedback.present_solution
13
The slide contrasts a logarithmic bar chart of molecule counts with a visualization of chemical space exploration.diagnose_problem
14
The slide categorizes different generative design approaches into five distinct boxes, each with a brief description and illustrative diagram.present_solution
15
The left side shows a decision tree/search process for molecule generation, the middle shows three reward functions (Affinity, Selectivity, ADME), and the rightpresent_solution
Open slide detailLoop · Hypothesis Test
16
MD stands for Molecular Dynamics. The slide highlights three core capabilities: pose prediction, potency prediction, and automation/accuracy enhancements.present_solution
Open slide detailLoop · Hypothesis Test
17
Exploration vs Exploitation trade-off framework.present_framework
Open slide detailLoop · Hypothesis Test
18
The slide features a 3D molecular visualization as the primary visual element.frame_situation
Open slide detailLoop · Hypothesis Test
19
The slide uses a three-column structure to map biological challenges to design goals.present_solution
20
The slide uses a linear process flow to describe a complex computational chemistry workflow.plan_implementation
21
The slide highlights the Pareto front concept in drug discovery, specifically how selecting compounds away from the front led to a breakthrough.illustrate_case
22
The slide uses a color-coded heatmap (green/yellow/red) to visualize performance against target product profile (TPP) criteria.compare_peers
23
The slide features a 3D molecular visualization with a highlighted orange protein structure.front_matter
24
The slide uses a three-column layout to define the core pillars of the drug development program.present_solution
25
The slide outlines a multi-stage drug discovery pipeline integrating MD, generative design, and machine learning.present_framework
26
The slide shows a workflow: identifying a hotspot (yellow surface), selecting a substructure, and replacing it with a new group (orange molecule) while maintainpresent_solution
27
The slide uses a color-coded heatmap (green/yellow/red/grey) to indicate performance against design criteria.compare_peers
29
Includes a photo of the facility and a process diagram showing automated workflows.present_solution
31
The slide uses a process-flow diagram to show how three distinct design inputs lead to a single outcome (cycle time reduction).present_solution
32
The slide uses a comparison frame to contrast parallel vs bespoke synthesis.frame_problem
33
The slide uses a process diagram to illustrate the stages of chemical synthesis and links them to specific hardware/instrumentation.present_framework
34
The slide uses a combination of a technical isometric diagram and a close-up photograph to illustrate the hardware components.present_solution
35
The slide uses a 2x2 grid layout to categorize platform capabilities into 'Compound Management' and 'Automated Biology'.present_solution
36
The image shows a large, open-plan area with polished concrete floors, high ceilings with circular pendant lights, and glass-walled office spaces on a mezzanineother
37
The slide shows a workflow diagram, software UI screenshots (Plate Runner), and hardware integration.present_solution
38
The slide uses a central image of a device to connect six distinct analytical workflows (Mechanism Determination, Enzyme Time Course, DMSO Tolerance, Plate Unifpresent_solution
39
The slide shows a process flow from computational design (CCD) to physical automation (SPT Labtech instrument) to data analysis (3D response surfaces and bar chpresent_solution
40
The slide showcases specific DoE designs (FFD, BBD, CCD, DM, PBD) and a JMP Pro software screenshot alongside performance metrics.present_solution
41
CAB likely refers to 'Computational/Computer-Aided Biology' or similar. The Doehlert Matrix is a specific experimental design framework.present_solution
43
The slide uses a funnel-like process flow to show how data inputs (High Content, In Vitro, ADME) feed into generative and predictive models, which then inform apresent_solution
45
This is a standard corporate contact/disclaimer slide often found at the end of a presentation.front_matter