Advanced Compute
Shattering the boundaries of processing power, we’re weaving intelligence into our everyday world at multiple levels.
Sculpting the future in silicon, photons, and qubits
Advanced Compute technologies are set to revolutionize our processing and experiential capabilities. We're on the brink of exponential growth in computing power, with innovations in hardware architecture, quantum systems, and neuromorphic designs.
In this era of unprecedented computational capability, innovations across the spectrum — from quantum systems to lightning-fast hardware to the internet of things — are forging a future where the digital and physical realms f converge.
Sectors in Advanced Compute
Click on a sector to learn more:
Compute
Advancing computational frontiers through quantum mechanics and distributed architectures.
Evolving computational paradigms are integrating flexibility, scalability, security, and decentralization to offer unprecedented problem-solving power. Cloud, edge, and quantum computing may potentially enable the solution of previously intractable problems in both fundamental research and applied science.
Cloud computing has redefined the accessibility of computing and IT services. This technology enables computing power to be readily available without the need for extensive physical, on-premise infrastructure. Its utility lies in its flexible pricing model, especially beneficial for small and medium enterprises seeking to utilize ML without the heavy investment required for traditional computing architectures. Cloud computing also serves as a key enabler of process automation, offering scalable solutions that adjust to varying operational requirements.
Edge computing, characterized by its approach of processing data at the source, or the ‘edge’ of the network, offers a decentralized solution to data management. This approach is especially important for applications in which immediate data processing is critical, such as in smart devices or systems related to public security and safety. The value of edge computing lies in its ability to reduce data transmission times.
Quantum computing, though still in its early stages of development, presents intriguing possibilities for handling complex data challenges. Its capability to manage and process large-scale datasets and computations, which currently strain the limits of conventional supercomputers, makes it a strong candidate for potential applications ranging from molecular chemistry to national security to logistics. As quantum computing progresses, it’s anticipated to unlock entirely new possibilities in problem-solving.
Machine learning and automation solutions that provide developer tools for ML workflows, such as auto-scaling compute resources, version control for models, and tools for model deployment, serving, and monitoring
Performance monitoring and analytics solutions that use monitoring agents, log analysis, and machine learning to manage cloud cluster resources, identify bottlenecks, and diagnose operational issues
API and microservices management tools that manage, monitor, and scale APIs and microservices throughout their life cycles, including automated scaling and security features such as authentication, authorization, and threat detection
Automated solutions for governance, compliance, and security that provide identity and access management, encryption services, auditing, compliance monitoring, and automated data classification
Cloud security platforms that leverage graph-based technology to detect and prioritize security risks, perform root-cause analysis, and automate issue resolution via graph analytics that identify anomalies
Multi-cloud management platforms that manage resources and services across multiple cloud providers by optimizing resource usage and centralized cloud assets
Hybrid cloud management platforms that orchestrate services across public and private hybrid environments, with a unified dashboard for monitoring and managing resources
MLOps-driven cloud management platforms that use algorithms to predict and prevent incidents in the cloud, optimize resource allocation, and automate routine cloud management tasks
AI-driven edge optimization tools for finding optimal resource allocation for distributed edge compute resources using algorithms
AI and MLOps for IoT at the edge with tools for model training, deployment, and management, enabling IoT devices to make intelligent decisions locally
Centralized management platforms for distributed edge deployments that provide a unified interface for monitoring and managing edge devices and efficient resource utilization
AI and IoT integration tools for sensors that allow sensor technology companies to integrate ml and automation features in their IoT products
AI lifecycle management tools that provide containerization, model versioning, and remote management capabilities for AI models running on edge hardware
Autonomous security monitoring tools for edge and IoT that use AI and machine learning to provide network visibility and detect and respond to security threats such as malware, ransomware, and DDoS attacks
Data processing services for space applications, consisting of both hardware and software solutions, integrating satellite technology, AI, and computer vision to deploy algorithms on satellites and analyze space data locally
Quantum hardware that utilizes novel qubit control techniques to build fault-tolerant quantum computers with high qubit fidelity and error correction
Quantum algorithm software for business applications which provide hardware-agnostic quantum algorithm libraries containing hybrid (classical and quantum) algorithms for applications in chemistry, finance, logistics, energy, pharmaceuticals, engineering, and materials science
Quantum error reduction and optimization solutions that reduce errors in quantum computing via AI-driven gate optimization and circuit-level error suppression
Quantum control stacks that consist of both hardware and software components, including control electronics, calibration tools, and software for precise manipulation and measurement of qubits
Quantum cybersecurity solutions that provide quantum-resistant encryption methods and key distribution protocols
Quantum computing as a service that makes quantum computing resources accessible to users via the cloud
Linear Algebra, Probability Theory, Graph Theory, Discrete Mathematics, Number Theory, Statistics, Optimization Theory, Information Theory, Quantum Mechanics, Differential Equations.
Computer Science and IT; Electrical and Electronic Engineering; Quantum Physics and Quantum Information Science; Telecommunications and Networking; Software Engineering; Cybersecurity; Data Science and Analytics; AI and ML; Materials Science; Cryogenics and Superconducting Technologies.
Quantum Algorithm Engineering; Post-Quantum Cryptography; Quantum Information Theory; Quantum ML Engineering; Quality, Analysis, & Testing; Systems Engineering; Software Engineering; Cybersecurity Engineering; DevOps Engineering; Data Architecture & Administration.
Hardware
Manipulating matter at the nanoscale to engineer novel electromagnetic interactions
The fundamental constraints of energy and information are reimagined as we bend light into information streams that power everything from the minute to the massive across a networked universe.
Micro- and nanoelectronics form a continuum in the development of electronic devices, each representing different scales and technological approaches within the broader field of electronics. Microelectronics deals with the integration and miniaturization of semiconductor-based components at the microscale; and nanoelectronics extends these concepts into the nanoscale, exploring new device functionalities and the quantum mechanical properties of materials.
Photonics is the science and technology of generating, controlling, and detecting photons. Photonics is crucial for a wide range of applications including telecommunications (fiber optics), information processing, sensing, biomedical devices, and even energy harvesting (solar cells). In computing, photonics offers potential pathways to overcome the bandwidth and speed limitations of current electronic circuits, through the use of integrated optical circuits or photonic crystals that can manipulate light at the nanoscale for data processing and transmission.
Sensors as hardware components are critical in devices for detecting and responding to various physical or environmental conditions, ranging from temperature, pressure, and humidity, to more specialized parameters like magnetic fields, photon incidence (light), and even quantum effects. They serve as the interface between the physical world and digital systems, converting physical phenomena into measurable electrical signals that can be processed, analyzed, and acted upon.
Smart hardware refers to devices and components that incorporate advanced computational and connectivity features, enabling them to perform tasks more efficiently, adapt to new information, and optimize their operations autonomously. Unlike traditional hardware, which operates according to fixed, pre-programmed instructions, smart hardware leverages data from its environment, user interactions, and internal sensors to make real-time decisions to improve performance.
Metasurface optics and lenses integrated into IoT sensors, consumer electronics, and industrial robotics
Advanced display technologies such as micro-LED display technology for smart contact lenses with 3D vision and smart sensors, primarily for use in AR/VR applications
Physics simulation software tailored for plasma physics, vacuum electronics, electromagnetics, and electrostatics research and development
High-speed analog-digital converters for processing signals in aerospace, defense, transportation, and communication applications
Low-power semiconductors designed to bring machine learning applications off the cloud and to the edge, enabling AI in sensor, voice, and video applications
Optical computing technology that utilizes light to power chips with network-on-chip processors, offering high-speed, low-latency, and low-power consumption for AI workloads
Integrated circuits and boards that facilitate connectivity in data-centric systems, enabling seamless data transfer and communication
Frequency-modulated continuous wave chips that enable 4D visual solutions for robots, vehicles, and machines, aiding in object classification
Edge processing solutions that feature AI-enabled embedded microcontrollers and fusion processors for applications in wearables, security systems, healthcare, and retail
High-performance optical transceivers and sensors with system-on-a-chip technology for use in low-power communication and advanced sensor systems as well as visual applications, enabling efficient and compact optical communication and sensor data processing
Nanoscale materials for engineering products such as telescopes and infrared cameras, offering precision and sensitivity at very small scales to enhance the capabilities of optical instruments
Quantum photonics processors for quantum computing that enable quantum computer operation at room temperature, including small-scale photonic processors used to synchronize quantum operations of single and entangled photons
Nonlinear nanophotonics solutions that offer packaged waveguides for laser systems
Photonics technologies for enhanced solar panels designed to increase the output of panels, contributing to more efficient and sustainable energy generation
Photonics solutions for improved X-ray imaging by increasing the effectiveness of imaging techniques, potentially leading to improved medical diagnostics and materials inspection
Low-light photovoltaic cells for IoT devices that power solar cells for connected IoT sensors and devices, ensuring they remain power-independent and can operate in various lighting conditions
Photonics chips for AI workloads that utilize optics and light channels to facilitate faster data transfer between chips, valuable for edge computing applications in which data processing efficiency is critical
Photonic-based quantum computers that permit scaling to millions of qubits via optical networking, providing full-stack quantum services to enterprises
Low-power optical chiplets and lasers that increase interconnect bandwidth density while reducing power consumed
Level and pressure sensing solutions for measuring groundwater levels, oil and gas reservoirs, depth information for conservation efforts, cabin pressure in spacecraft, and fuel tank contents via submersible level transmitters and custom pressure solutions
Temperature sensors for hazardous environments that employ no-contact temperature measurement, suitable for monitoring temperatures in explosive processes
Multifunctional sensors for physical properties such as acceleration, dynamic pressure, force, acoustics, torque, load, strain, shock, and vibration, tailored to scientific and industrial applications
IIoT and industrial automation sensors for industrial processes that connect to the Industrial Internet of Things (IIoT), enabling real-time data collection and process control in industrial settings
Motion and positioning sensors including gyroscopes, compasses, accelerometers, pressure sensors, and microphones for mobile, smart home, wearable, and industrial applications, capable of tracking complex user motions, sounds, and positioning
Advanced radar sensors designed for intelligent systems and autonomous machines, contributing to improved perception and decision-making capabilities in robotics and autonomous vehicles
Intelligent sensor systems that incorporate computer vision, AI, and mobile robotics to create intelligent solutions for various applications, such as autonomous navigation and monitoring
Edge IoT monitoring with AI analysis that collects high-resolution electrical signature data from machines and utilizes AI to analyze performance, enabling predictive maintenance and optimization
AI at the edge hardware platforms with custom dataflow architecture such as multicore in-memory computing capabilities, useful for computer vision applications by enabling the efficient and high-performance processing of visual data
Adaptive 3D data perception platforms equipped with deep learning capabilities, with applications in intelligent transport systems, smart spaces, robotics, security, and autonomous vehicles
High-performance AI edge computing hardware that feature processors that consume less power while increasing the speed of computer vision processing
Intelligent energy storage and management solutions such as smart batteries that incorporate advanced technology to optimize energy usage and prolong battery life
AI-in-sensor technology for edge processing, such as chips with sensors capable of making decisions and performing complex analysis at the edge without latency or increased power consumption, increasing the intelligence and responsiveness of edge devices and systems
Intelligent processing units designed specifically for machine learning workloads, to accelerate ML capabilities in the cloud
High-performance computing chips that accelerate AI, outperforming traditional GPU approaches
Fully integrated platform systems (from chips to software) tailored to powering AI applications
AI-tailored semiconductor chips designed to enhance the performance of LLMs across multiple fields of application
General-purpose ML accelerators that use integrated optical technology, combining photonics and transistor-based systems, to reduce power consumption while increasing performance of AI models
Neurologically-inspired analog-based circuits that use digital in-memory computing design to expedite AI processing
Solid State Physics, Numerical Analysis, Geometry, Signal Processing, Fourier Analysis, Partial Differential Equations, Control Theory, Optimization Algorithms, Graph Algorithms.
Materials Science and Engineering; Electrical and Electronic Engineering; Nanotechnology; Optics and Photonics; Chemical Engineering; Mechanical Engineering; Computer Science and IT; Robotics and Automation; AI and ML.
Quality, Analysis, & Testing; Systems Engineering; Software Engineering; Cybersecurity Engineering.
Spatial Computing
Synthesizing perceptual realities to transcend physical constraints.
Bending spacetime with code, creating shortcuts through the continuum — where distance and presence become fluid concepts — we’re constructing universes from pure thought.
Extended reality technologies consist of virtual reality (VR), augmented reality (AR), and mixed reality (MR). VR immerses users completely in virtual environments; AR overlays digital objects on the physical world; and MR combines the two, allowing digital objects to interact with a user’s physical environment.
AR entertainment and gaming platforms that use AR to blend digital elements with the real world, creating immersive and interactive gaming experiences
AR inspection and analysis tools that utilize computer vision for damage analysis, generating detailed condition reports for machinery and equipment
Accessibility and communication tools such as speech-to-text solutions that run on smart glasses and provide real-time speech translation to text for users with hearing impairments
AR commerce solutions that allow companies to create immersive buying experiences focused on interactive product visualization, virtual try-ons, and seamless shopping integration in AR environments
Remote collaboration and training tools that allow for remote teleconferencing with workers in the field and facilitate training, monitoring, and maintenance by connecting remote experts with on-site personnel
Enterprise AR for operations and support including platforms that improve remote field support for workers in industries such as aerospace, national security, and defense
AR drone piloting and navigation solutions that utilize vision-based navigation and pre-mapped terrain data to allow drones to navigate in GPS-denied environments
No-code AR platforms that allow users to create AR experiences for social and commerce without extensive coding knowledge
No-code VR content creation platforms that provide tools for creating immersive content, leveraging advanced vision technologies without the need for coding expertise
3D product modeling and visualization platforms that help users create 3D product models with support in design, prototyping, modeling, and visualization
Advanced haptics and touch simulation solutions that simulate true contact and realistic touch in VR applications
Multiuser metaverse synchronization tools that facilitate the coordination of multiple users within virtual worlds
VR device management and content deployment platforms for managing AR and VR devices, with features for app distribution, version management, and remote content deployment
Geometry, Linear Algebra, Computational Geometry, Differential Geometry, Topology, Signal Processing, Probability, Statistics, Fourier Analysis.
Computer Science and IT; Electrical and Electronic Engineering; Optics and Photonics; Human-Computer Interaction (HCI); AI and ML; 3D modeling and computer graphics; Sensor Technology; Telecommunications and Networking; Materials Science; Cognitive Science and Psychology.
AR/VR Engineering; Quality, Analysis, & Testing; Systems Engineering; Software Engineering; Cybersecurity Engineering.
IoT — Internet of Things
Integrating the physical and digital through ubiquitous sensing and adaptive networks.
Ubiquitous computing is transforming mundane objects into conduits of connection, embedding intelligence in the world around us and making our surroundings responsive and adaptive.
Within the Industrial IoT (IIoT), developments are underway to optimize manufacturing, streamline operations, and improve physical asset management. Solutions such as real-time asset monitoring and predictive maintenance leverage AI, robotics, and IoT sensors to reshape industrial processes and improve productivity.
Personal IoT touches upon the lives of individuals, making everyday experiences more convenient. From wearable health trackers to smart home devices and baby monitors, this subsector presents opportunities to work on technologies with the potential to improve health, safety, and lifestyle.
Smart cities, buildings, and environments are reshaping our relationships to the spaces we occupy. Energy management, air quality management, waste recycling, public safety, and traffic management are areas with growing possibilities.
IoT security and infrastructure are foundational to the entire ecosystem. This subsector focuses on safeguarding IoT devices, networks, and data from cyber threats. Opportunities abound in developing hardware-based security solutions, blockchain-based security, and device-level cybersecurity.
Industrial analytics and optimization solutions that utilize AI, ML, digital twins, and IoT sensor data to optimize industrial operations, managing devices and processes at the edge for system health and performance monitoring
Digital twin and data standardization solutions that automate data intake, converting unstructured data to standardized data, creating digital twins of both manufacturing parts and processes, and continuously monitoring and analyzing industrial processes
Intelligent maintenance and facility management solutions that use IoT technologies to model industrial processes, leveraging AI and ML to automate workflows, assign tasks, and optimize resources
Real-time asset monitoring and inspection solutions that utilize AI, advanced robotics, IoT-enabled sensors, AR & VR, and computer vision to monitor and inspect industrial assets in real-time for maintenance and performance
Shipment tracking and condition monitoring technologies that use multi-sensor trackers embedded in shipments to stream location and condition data, such as GPS, humidity, ambient conditions, and shocks, in real-time
No-code IoT application deployment platforms that simplify the deployment and management of IoT systems on the edge by providing a user-friendly interface that requires no manual code
Remote patient monitoring solutions built into digital health platforms, with features such as gesture detection to monitor patients after surgeries or other major health events
Smart infant monitoring solutions equipped with multiple sensors that track sleep behavior, breathing patterns, heart rate, growth, and development for infants using cameras, smart swaddles, and wearable bands
Sleep optimization wearables that track various physiological parameters such as heart rate, blood oxygen saturation, sleep data, and skin temperature to compile and provide daily reports to enhance individual sleep quality
Wearable physiological sensors for clinical trials that measure drug and treatment effects in patients with conditions such as cancer and rare diseases, utilizing biomarker data to assess treatment efficacy and facilitating greater participation in clinical trials
Real-time athletic performance analysis tools for individuals that offer real-time performance analysis and personalized training plans using data gathered from sensors such as accelerometers, gyroscopes, and magnetometers
Building automation and HVAC control solutions that use the IoT, smart sensors, controls, and ML to automate HVAC systems and conduct analytics for commercial buildings
Home security and intrusion detection systems that leverage sensors and the IoT to provide intruder deterrence, alarm verification, and communication with authorities for enhanced security
Building management solutions for campuses, hospitals, and workplaces that monitor security, building health, and offer AI-enhanced remote diagnostics, predictive maintenance, compliance monitoring, and risk assessments
Railroad operations optimization platforms that combine the Industrial Internet of Things (IIoT) with ML to optimize railroad operations, including predictive maintenance and risk management
Urban mobility management solutions that feature AI-powered traffic signals, digitized road infrastructure, and the management of bicycles, pedestrians, and emergency vehicles
Waste management and monitoring platforms that allow property managers to monitor waste using sensors in receptacles, to improve waste collection efficiency and reduce environmental impact
Field and crop management platforms that integrate ML and sensors for in-field monitoring of weather, plants, soil conditions, and irrigation systems to create agronomic models to support agricultural decision-making
Irrigation automation solutions that allow farmers and agricultural workers to automate irrigation processes
Air quality and pollution monitoring solutions that use sensors in urban areas to enable real-time data collection of pollutant levels
Public safety and emergency response solutions that leverage the IoT to implement smart surveillance, early warning systems, and communication infrastructure for disaster preparedness and response
Machine-to-machine communication security solutions that ensure secure communication channels in autonomous vehicles and smart city infrastructure via hardware-based security solutions
Edge MLOps optimization and security platforms that deploy efficient, compressed, and secure edge models at scale to optimize machine learning applications at the edge
Cybersecurity solutions for the Industrial Internet of Things (IIoT) that offer asset management, asset discovery, network protection, and threat detection in industrial environments
Satellites for edge data transfer that transfer data to the cloud without ground-based data centers
Linear Algebra, Probability Theory, Stochastic Processes, Graph Theory, Discrete Mathematics, Number Theory, Statistics, Optimization Theory, Information Theory, Fourier Analysis, Differential Equations, Dynamical Systems.
Computer Science and IT; Electrical and Electronics Engineering; Telecommunications; Data Science and Analytics; Cybersecurity; AI and ML; Materials Science; Energy Technologies; Environmental Science; Human-Computer Interaction (HCI).
Quality, Analysis, & Testing; Systems Engineering; Software Engineering; Cybersecurity Engineering; Data Science.
Additional Deep Tech Sectors
Explore other sectors in the Deep Tech Ecosystem
