AQC’s Scientific Due Diligence for Sci-Tech
Our Scientists to Validate STEM Technologies
Unlock the transformative potential of sci-tech innovation with AQC’s scientific due diligence. Our celebrated scientists perform in-depth audits, empowering you to make confident and strategic decisions. Contact AQC today for your actionable due diligence review!
Our Expertise, Your Assurance
In the complex world of sci-tech, AQC’s unique edge lies in the combination of our stellar research team and an extensive network of top-tier academic luminaries. We excel in probing the depths of scientific and technical projects, dissecting complexities, and mitigating risks. Our precision-driven due diligence delivers actionable insights, empowering decisive moves. With AQC, transcend the ordinary, bridging science and technology, and navigate the sci-tech frontier with confidence.
Why partner with AQC?
Authoritative scientific due diligence
Reputable expertise in your niche
Validity and feasibility evaluation
Risk assessment and mitigation
IP and innovation validation
Interdisciplinary academic network
Precision and accuracy assurance
Sound investments guidance
The Necessity of Scientific Due Diligence (SDD)
The Deep Tech / Hardtech Revolution is characterized by rapid advancements in science-heavy fields of technology, such as artificial intelligence, electronics, nanotechnology, biotechnology, robotics, quantum tech, and more. These are often also referred to as sci-tech or STEM tech. Breakthroughs in science and engineering have always been the driving force of technological development. However, today the novelty and complexity of cutting-edge science poses special challenges for industry, as businesses and investors strive to harness the commercial potential of Deep Tech.
Venturing into sci-tech requires not only vision but also a comprehensive understanding of the underlying technologies. Scientific Due Diligence (SDD) is a systematic and thorough evaluation of the scientific and engineering aspects of a company or project. It involves a comprehensive assessment of the technology, infrastructure, intellectual property, and R&D capabilities. In other words, SDD is the process by which organizations and investors evaluate the potential of emerging technologies and their applications, including the following major aspects. Ready to validate your Sci-Tech innovation?
What AQC Evaluates
Scientific Due Diligence (SDD) forms the bedrock of sound decision-making in sci-tech. Due to its unique competitive advantages, AQC is your consultancy of choice for compelling and actionable SDD. AQC typically reviews some combination of the following aspects of a technology.
Some Sci-Tech / STEM Tech Areas of Interest
Metrology and Instrumentation
In the 21st-century metrology and instrumentation are continuing to undergo rapid transformative developments. One such trend is the miniaturization and portability of instruments, culminating in “lab-on-a-chip” devices that integrate multiple laboratory functions into millimeter-sized chips, offering precise analyses with minimal sample volumes. Significant breakthroughs in analytical chemistry encompass advances in spectroscopy techniques (e.g. atomic absorption, mass spectrometry, and Raman spectroscopy), which enhance the sensitivity and selectivity of analytical instruments. Hybrid methods, such as gas chromatography-mass spectrometry, provide robust tools for complex sample analysis. Meanwhile, progress in microscopy, including electron and scanning probe microscopy, enables atomic and molecular-scale visualization. Nonetheless, one central overarching challenge is to make all these techniques more cost-effective and user-friendly, ensuring their accessibility to a broader scientific community. The challenge here is to further enhance the capabilities and versatility of these devices across a wide range of applications, including medical diagnostics and environmental monitoring. Noise reduction, whether originating from environmental sources or inherent electronic noise, poses an ongoing challenge in achieving highly accurate measurements. As data generation from advanced instruments becomes increasingly complex and voluminous, the challenge lies in developing efficient data management and analysis solutions, including algorithms and software for interpreting this wealth of information. Due diligence can help ensure that measuring and analytical devices remain reliable and accurate in field settings, even when miniaturized. Due diligence may also provide independent verification of novel analytical and imaging methods and may contribute to making analytical instruments cost-effective, accessible, and easy to use.
AI and Machine Learning
In recent years, breakthroughs in Artificial Intelligence (AI) have reshaped numerous domains. Key technologies like machine learning, deep learning, computer vision, natural language processing (NLP), and big data analytics have played pivotal roles. They have overcome barriers in image recognition, voice processing, language translation, and recommendation systems. However, these AI and machine learning advancements come with significant challenges. These include potential biases in AI algorithms, data privacy concerns, opaque model interpretability, demanding scalability requirements, and overarching ethical considerations. Neural networks, often compared to the human brain's neural structure, serve as the backbone of many AI systems. Their ability to process vast amounts of data and recognize complex patterns has led to breakthroughs in fields such as healthcare, where AI-driven diagnostic tools can detect diseases with incredible accuracy. One of AI’s remarkable aspects is its impact on industries that previously relied heavily on human labor. In manufacturing, AI-powered robots have taken over repetitive and dangerous tasks, significantly improving efficiency and workplace safety. Dependable due diligence requires a versatile assessment framework and standardized protocols. Through all-round due diligence, AI pioneers can ensure the responsible and ethical development of AI systems that perform efficiently and reliably while promoting fairness, security, transparency, scalability, and ethical alignment. Last but not least, AI systems need continuous improvement mechanisms for ongoing learning and adaptation, mirroring the way humans continually refine their skills and knowledge.
Evolving in recent years in response to the challenges of urbanization and sustainability, Smart Cities are perfect showcases of contemporary complex technological innovation. Their high degree of interconnectedness, powered by the emergent Internet of Things (IoT), enhances city operations, from managing traffic and transportation systems to optimizing energy usage. Big data analytics, Artificial Intelligence (AI), and Machine Learning are essential components that empower Smart Cities to derive vital insights from their big data, make data-driven decisions, and improve the quality of life for residents. Energy management and renewable energy technologies are playing an indispensable role, aiming to reduce reliance on fossil fuels and to lower carbon emissions. However, Smart Cities face substantial technological challenges. One of the foremost issues is data security and privacy. The vast amounts of data collected in Smart Cities, including personal information, require robust cybersecurity measures to protect against data breaches and unauthorized access. Interoperability poses a further significant challenge. As cities implement various IoT devices and systems, ensuring that they can seamlessly communicate and share data is a must. Standards and protocols need to be established to avoid fragmentation and enable efficient data exchange. Deploying IoT sensors, upgrading infrastructure, and developing smart applications require substantial investments. Scientific research can contribute to standardization efforts, creating frameworks that enable interoperability among diverse systems. Additionally, scientists can help reduce implementation costs, e.g. by developing low-cost IoT sensors or optimizing energy-efficient technologies tailored to specific urban contexts. Other areas where quality due diligence is likely to prove valuable include social impact assessment, environmental impact assessment, feasibility studies, and policy development.
Autonomous Vehicles (AVs)
AV development is powered by several areas of sci-tech. AI and machine learning algorithms enable AVs to perceive their surroundings and make real-time decisions in complex urban environments. Robotic components and state-of-the-art sensors enhance the precision and safety of AVs, ensuring they can respond effectively to unexpected events and guarantee safety. AV’s perception and decision-making capabilities must consistently recognize and respond to a wide range of objects and situations. High-definition mapping and localization systems are crucial to accurately position AVs within their surroundings. Due diligence helps tackle technical challenges by evaluating AI algorithms and sensor technologies across various real-world scenarios, including weather conditions, in low-light situations, and scenarios with compromised sensors. Moreover, given that AVs rely on interconnected systems for communication and updates, they are potential targets for cyberattacks. Due diligence may scrutinize the cybersecurity measures protecting AVs from malicious intrusion and unauthorized control. The due diligence team may ensure compliance with essential safety benchmarks and performance thresholds that AVs must meet for safe deployment. Such inputs can be invaluable for policymakers and regulators as they strive to develop comprehensive guidelines for AV testing and operation.
Biotechnology is making giant strides in reshaping healthcare, curing and preventing diseases, improving longevity, and addressing age-related challenges. One of the most transformative technologies in biotech, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), enables precise and efficient gene editing, allowing scientists to modify DNA with unprecedented accuracy and potentially to treat genetic diseases. CRISPR has revolutionized the way we approach genetic research and therapy, making it a keystone of contemporary biotechnology. Another major technological advancement is the development of synthetic biology, a discipline that empowers scientists to create, modify, and program organisms to meet specific needs. It has far-reaching applications, including the production of synthetic meat, the development of bioplastics as eco-friendly alternatives to traditional plastics, and the enhancement of agricultural yields through microbial engineering. Advances in regenerative medicine and organ transplantation have significantly extended human life expectancy. Stem cell research has unlocked possibilities for generating healthy tissues and organs through 3D printing, offering potential solutions to organ shortages and transplantation challenges. Scientific due diligence for biotech necessarily plays a crucial role in addressing the various types of challenges that accompany these remarkable breakthroughs. Due diligence can help establish guidelines and regulations that strike a balance between scientific progress and ethical considerations in this domain, especially when it comes to genetic editing. Another role for due diligence is to help streamline the translation of research findings into practical applications. This involves assessing the safety and efficacy of new treatments, navigating regulatory pathways, and ensuring that innovative therapies reach those in need.
Contemporary MedTech is largely defined by the integration of AI, ML and new sensing methods into medical and diagnostic tools. Breakthroughs in medical imaging allow for early detection of conditions such as cancer, as well as personalized treatment strategies based on individual patient data. Biosensors integrated into wearable gadgets are another game-changer, continuously monitoring glucose levels in diabetic patients or detecting biomarkers indicative of cardiac issues and enabling proactive intervention. Current smartwatches and fitness trackers have become powerful health monitoring tools, collecting real-time data on vital signs, physical activity, and sleep patterns. This wealth of data offers insights into an individual's overall health and well-being, promoting preventive care and early intervention. Quantum sensors are exceptional at detecting and measuring specific biological markers, enabling early disease detection and personalized treatment strategies. Quantum-enhanced magnetic resonance imaging (MRI) provides higher-resolution images, aiding in the early diagnosis of cancer and neurological disorders. Quantum sensors enable surgeons to precisely locate and navigate medical instruments within the body, improving surgical outcomes. Due diligence can validate advanced sensing technologies in real-world clinical settings, instilling confidence about their trustworthiness. In big data processing, due diligence may contribute to storage, processing, and interpretation solutions, including cloud-based platforms and advanced algorithms. By conducting ongoing validation of MedTech, companies can expedite the regulatory approval process, facilitating market entry. Evaluating decision making driven by AI and ML models can further transparency and faster adoption by the healthcare ecosystem.
Advancements in Education technology (EdTech) are revolutionizing how education is delivered and accessed. The proliferation of high-speed internet connectivity has enabled seamless online learning experiences, making it possible for students to access educational content, engage in live virtual classrooms, and collaborate with peers and instructors from virtually anywhere. This accessibility has transformed education into a much more flexible and accessible endeavor. Also important are cloud computing and storage solutions, which support the storage and fast retrieval of vast amounts of educational content, including videos, documents, and interactive materials. This scalability ensures that educational resources are accessible to a global audience while reducing the burden on local storage and infrastructure. AI and machine learning (ML) have played a fundamental role in personalizing education, analyzing student data and behavior to tailor learning experiences. AI-powered algorithms can recommend customized learning materials, identify areas where students may struggle, and provide real-time natural language feedback to enhance learning outcomes. Adaptive learning platforms harness AI to adapt content and assessments based on individual student progress. Virtual reality (VR) allows students to explore complex subjects through simulations, making abstract concepts tangible. Augmented Reality (AR) overlays digital information onto the real world, enhancing engagement and interaction. Due diligence can inform the development of more flexible and equitable EdTech platforms, robust data protection and cybersecurity, data privacy standards and encryption protocols that safeguard sensitive student information. Lastly, continuous evaluation of EdTech tools is essential for measuring their effectiveness and impact on learning outcomes. Scientific studies can help identify best practices for implementing technology in education, ensuring that it enhances, rather than hinders, the educational experience.
The foundation of 3D printing lies in a series of key technological innovations that have evolved over several decades. Among them are various printing techniques, such as stereolithography (SLA, relying on photopolymers and light-sensitive molecules), selective laser sintering (SLS, which employs lasers to fuse porous materials), and fused deposition modeling (FDM, which heats and melts materials for precise layering). These foundational techniques have led to creating three-dimensional objects layer by layer and enabled the diverse applications of 3D printing we see today. Another crucial advancement is the expansion of materials for 3D printing. Initially, the technology was limited to plastics, but has evolved to encompass a wide range of materials, including metals, ceramics, organic compounds, and even food. This breakthrough has expanded the potential applications of 3D printing across industries, from aerospace to healthcare. Quality due diligence, including rigorous testing, quality control, and adherence to industry standards, can play a critical role in addressing the technological challenges associated with 3D printing. For precision and accuracy, advanced testing methods and quality assurance processes can be implemented to verify that printed objects meet specified tolerances. Material testing and analysis can help improve the strength and durability of 3D-printed components, ensuring they are fit for their intended purpose. Scalability and speed can be addressed through process optimization and automation. Continuous monitoring and fine-tuning of the printing process, coupled with advancements in 3D printing hardware and software, can lead to faster and more scalable production.
Engage AQC for Sci-Tech DD!
AQC stands as the perfect choice for authoritative due diligence for Sci-Tech development projects. Our core team of high-profile research scientists and our much wider network of partnering academics deliver meticulous due diligence, ensuring that your Sci-Tech initiatives and investments are built on a solid foundation. Our combined knowledge sets us apart in the industry, and our teamwork approach leverages the collaborative synergies of an unparalleled pool of experts. AQC brings a blend of academic rigor and practical insight, combining the latest scientific advancements with real-world applicability. We provide a comprehensive assessment of the technology, infrastructure, intellectual property, and R&D capabilities.
SDD entails a comprehensive investigation into the scientific underpinnings of a technology. It involves meticulous scrutiny of the methodologies, experimental designs, and empirical evidence supporting Deep Tech innovations. We confirm the robustness, reliability, and reproducibility of scientific claims and breakthroughs. AQC’s objective will be to ascertain that the technology’s scientific foundations are firm and can withstand rigorous peer review, safeguarding against investments in technologies lacking a solid scientific footing.
Assessing technological feasibility is another cornerstone. Due diligence evaluates the readiness and viability of a tech. Regardless of the specific sci-tech domain, due diligence aims to determine whether the technology has reached a stage where it can effectively fulfill its intended objectives. AQC’s review may extend beyond technological readiness to encompass a comprehensive view of technical roadmaps, research and development pipelines, and the potential for scaling your sci-tech solutions.
Technical Risk Assessment
Technical risk assessment is a vital part of scientific due diligence. It helps to identify and mitigate the potential challenges, bottlenecks, and uncertainties that may hinder the successful development and implementation of emerging technologies. AQC will assess the scientific validity of the technology, its technical feasibility, the regulatory landscape, and the intellectual property landscape. By understanding these risks, investors and organizations can make informed decisions and develop risk mitigation strategies.
Intellectual Property and Innovation
Intellectual property (IP) forms a cornerstone within the domain of sci-tech ventures. Comprehensive due diligence extends its purview to encompass a thorough scrutiny of patents, copyrights, and safeguarded trade secrets. This exhaustive examination serves as an imperative measure to confirm that the technology under evaluation remains free from the entanglements of legal disputes. Beyond this legal aspect, due diligence dives into the realm of innovation, seeking to uncover the latent potential inherent within the technology.
The interdisciplinary character of many sci-tech areas may call for a multifaceted due diligence team possessing diverse scientific and technical proficiencies. For instance, the evaluation of a project within the domain of Artificial Intelligence demands the collective expertise of computer scientists, data scientists, hardware specialists, and specialized domain experts. AQC leverages the collaborative synergies of a wide network of partnering scientists and engineers across all the areas relevant to sci-tech.
Comprehensive technology due diligence may extend beyond scientific and technical considerations. It may require a multitiered approach that includes legal, regulatory, economic, and ethical dimensions. This comprehensive approach equips stakeholders with a holistic understanding of the technology's potential, risks, and ethical implications, facilitating well-informed decisions in an ever-evolving technological world.