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The technological future is more predictable than you think

“In a week with GetFocus, we achieved more than what we previously could in 9 months." Christophe Perthuisot Chief R&D and innovation oicer – Moët Hennessy Trusted by Innovators Globally What customers say about us

The puzzle grows faster than it can be solved It takes time to learn about new tech Exponentially more technology* *Source: IPC/CPC patent classification system 1900 1970 2023 265 000 70 000 215 WHY SHOULD YOU CARE?

Great at filtering informations and strategizing how to act Too much data to process and not enough time Experts Risk of bias A quicker way to get to answers than searching manually Shows you where the herd is going but the herd is often wrong Trend Monitoring CURRENT SOLUTIONS NO LONGER WORK

GETFOCUS DELIVERS A COMPLETE ANALYSIS OF ANY TECHNOLOGICAL DOMAIN Eliminate Blind Spots AI technology scouting Instant overview of all emerging technologies in your area See which tech works in a specific area Spot winners early Summarized in actionable insight AI technology evaluation Forecasting Deep dives & Monitoring Compare and analyze technologies using AI, reducing months of work to minutes Predict which emerging technologies will dominate and when Competitive intelligence, partnering options, AI patent analysis & more

WHAT MAKES US DIFFERENT? Stay ahead of the curve Bigger questions, faster answers Bye-bye bias Winning technologies show clear and measurable signals with our models. Forget about trendwatching, we can tell you what the data means. Scouting and evaluating technologies can take months with traditional approaches, GetFocus can do it in minutes. Let the herd walk o the cli by itself, we give you objective and quantitative insights that enable beer decisions. 1 2 3

CES Innovation Award Winners - 2024 Forecasting methods co-developed with MIT Our insights are now used for decision making in the US White House OUR ACHIEVEMENTS US Department of Defence was our Launching Customer in 2021

How can we know which technologies will dominate the future?

IN 2018, WE WORKED WITH MIT TO BUILD THE WORLD'S FIRST OBJECTIVE TECHNOLOGY FORECASTING SYSTEM

MIT EMPIRICALLY MEASURED PROGRESS IN 28 TECH DOMAINS • Why do some technologies improve faster than others? • Why do some disrupt and others are just hyped without result? • Can we predict which technologies will win? Realized they had many ideas but no data to test, so they started measuring progress in 28 technology domains (took 6 years!) 3D printing Milling Photo-lit Super- cond Aircraft Comb- engine Elec- motor Fuel cell Incan- light Elec- comp Int- circ COAX- telecom Wireless telecom Optical storage LED- light Solar Wind Elec- Transm Baeries Capa- citors Flywheel- ES Camera- s CT scan Genome SQ MRI Optical telecom Magne- tic stor Semic storage

EXAMPLE OF MIT MEASUREMENT FOR HARD DRIVES

Doubles performance every 14 months! Doubles performance every 23 years! Source: Benson & Magee 2017 ALL TECH IMPROVES EXPONENTIALLY BUT AT DIFFERENT RATES

Patent data as the foundation for technology forecasting

1. Before it is on the market, it is in patents 2. Describes virtually all tech progress globally 3. Extremely standardized (basically the only thing we agree on globally) 4. Perfect for AI processing Why Patents?

1. This is my invention 2.This is what I am improving over 3.This is why mine is beer than older inventions 4.Here is a long description of how it works How are patents structured?

2014 2019 Our invention Older invention we are improving over Cycle Time: How many years did it take to create a new generation of technology? “How often do I take steps” “How big are my steps” Knowledge Flow: How much of a step forward did this invention represent? Newer invention improving over us 2023 THERE ARE 2 METRICS THAT PREDICT TECH IMPROVEMENT

2 1 3 Map out tech landscape Calculate metrics Estimate improvement rate GetFocus AI Instant Global invention data Relevant Inventions Performance Tech A Knowledge flow Cycle-time Instant Instant Tech B 2021 2022 2020 2024 2023 OUR FORECASTING METHOD

Source: Benson & Magee 2017 CYCLE TIME AND KNOWLEDGE FLOW PREDICT IMPROVEMENT RATES Technologies that improve fast have a low cycle time and high knowledge flow. They take quick big steps. Technologies that improve slow have a high cycle time and low knowledge flow. They take slow small steps.

Past disruption we predicted

600 500 400 300 200 100 0 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Overall Performance/$ cost Years These New Tech’s will never be ready! W hoops, we m issed it. Existing technology is very good MIT FOUND THAT ALL TECHNOLOGIES IMPROVE EXPONENTIALLY INCUMBENT EMERGING TECHNOLOGY 1 EMERGING TECHNOLOGY 2

WE PREDICTED DISRUPTION IN AUTOMOTIVE Li-Ion baeries have been improving faster than fuel cells and combustion engines since their invention. Technology improvement rates are like interest on a bank account, the highest rate wins.

WE PREDICTED DISRUPTION IN IMAGING TECHNOLOGY CCD imagers were improving faster than silver halide photo film since the 70's. CMOS has been improving faster than CCD since the 90's. Technology improvement rates are like interest on a bank account, the highest rate wins.

2 - The fastest improving technology always wins 1 - We can objectively and accurately measure how fast any technology is improving 3 - We can see the technological future before it happens 4 - This means making beer investment decisions, and outperforming competitors that do not have forecasting capabilities SUMMING UP

The Future of autonomous driving

CAMERA'S FOR AUTONOMOUS DRIVING

LiDAR FOR AUTONOMOUS DRIVING

RADAR FOR AUTONOMOUS DRIVING

ULTRASONIC FOR AUTONOMOUS DRIVING

CAMERAS + DEEP LEARNING WILL WIN

Client examples, how we work, and the benefits

WHAT WE DO FOR THE US GOVERNMENT The US gov has 20 designated strategically important technologies We help them scout all competing technologies in each area, understand the global landscape, and forecast which tech will win. Secure future supply chains We help the US government understand which supply chains must be secured now to stay competitive in the future. Think ahead about geopolitical consequences If technology X becomes dominant, what will the consequences be? Partly determine the national tech strategy The US' national technology strategy is partly determined with our forecasts.

OTHER CASES George Graham Josef Wuensch SVP R&D Nutrition – Recki Benckiser SVP R&D Performance materials – BASF The project The project The outcome The outcome Created insights for an R&D strategy on reducing low-grade inflammation in humans through advanced nutritional interventions. How to sort and depolymerize mixed automotive plastic waste that has been shredded together. Clearly established which emerging technologies in low-grade inflammation management will disrupt Recki’s business in the future when no change is made. Found 1 key disruptive technology in the sorting of automotive plastic shredded waste and 1 key long-term disruptive technology for depolymerization that can disrupt BASF’s business if no action is taken. “GetFocus represents the next generation of insight creation and management for R&D decision making" “GetFocus helps us go from broad strategic questions to concrete answers in very lile time"

Risk mitigation around AI

THE RISKS AND HOW TO MITIGATE THEM Doesn’t AI hallucinate? Geing experts on board But, AI cannot do everything we need it to do yet. Why start now? 1 2 3 What about data propriety? Shouldn’t we solve that first before engaging? 4

Let’s get in touch Thank you! www.getfocus.eu jardvaningen@getfocus.eu +31-628409831