Infrastructure & Climate Tech
Climate and infrastructure innovations in low-carbon energy, smart city technologies, and next-generation materials are transforming our built environment, making it more resilient and sustainable.
Imbuing our creations with the resilience and adaptability of life itself
From smart cities to revolutionary transportation systems, from low-carbon energy to cutting-edge climate technologies, we're engineering a world that's not just resilient, but regenerative. These innovations are redefining our relationship with the environment, creating infrastructure that's intelligent, adaptive, and aligned with our planet's needs.
As we push the boundaries of what's possible in urban design, energy production, and resource management, we're laying the foundation for a more sustainable and interconnected global ecosystem.
Sectors in Infrastructure & Climate Tech
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Infrastructure
Coordinating dynamic systems for resource-efficient habitats.
We’re developing dynamic infrastructure, blending digital innovation with ecological insights, to prioritize resilience, intelligence, and adaptability in our constructions and resource governance.
Smart city technologies integrate information and communication technology and various physical devices connected to the IoT to optimize the efficiency of city operations and services. It encompasses a wide range of applications, including traffic management systems, smart lighting, and energy-efficient buildings.
Water management technology focuses on the efficient and sustainable use of water resources. Technologies such as AI and machine learning are increasingly used for predicting water demand, managing supply, and optimizing water distribution networks. The aim is to ensure safe and reliable water access, reduce waste, and support sustainable water resource management practices.
Waste solutions and recycling technologies are pivotal in managing waste, minimizing landfill use, and promoting recycling and reuse. Smart waste management systems utilize sensors to optimize collection routes and schedules.
Transportation technologies are fundamentally about increasing efficiency, reducing environmental impact, and improving the accessibility of transit systems. Key innovations include adoption of electric and autonomous vehicles, intelligent public transportation systems, and micromobility.
Sustainable infrastructure such as carbon-negative road products that use recycled road materials and wood-based polymers to reduce reliance on heavy oil-based materials
AI-powered energy management platforms that utilize data, algorithms, and cloud infrastructure to monitor and optimize building energy consumption
Parking management solutions that automate permit issuance, violation handling, and enforcement, and provide a platform for individuals to list, find, and book parking spaces
Transit network management and optimization platforms that help transit agencies and cities strengthen mobility by managing transit networks, identifying issues, and providing real-time updates and fixes for passengers
AI-based video solutions for traffic analytics that forecast road traffic and car park occupancy, analyze traffic flow, and collect data from intelligent cameras
Smart city data integration platforms that collect and integrate data from various sources, including government databases, connected devices, and private sector studies, to aid officials in decision-making
Predictive analytics for urban planning that calculate an area's quality of place using multiple features to optimize cities for walkability, livability, equity, and sustainability
Nanomembranes for water purification that can desalinate salty water, purify polluted water, and enable companies to recycle and reuse water in industrial processes
Remote water infrastructure management platforms that provide remote and secure monitoring and control of water infrastructure, offering real-time visibility, hydraulic modeling, predictive analytics, and digital twin technology for water network performance
Intelligent leak detection systems that use ML to detect and prevent leaks at their source, employing signal processing, auto-shutoff valves, and IoT for monitoring water flow and anomalies
Real-time water analysis tools such as portable testing kits that use genetically engineered bacteria to detect heavy metals such as arsenic, iron, manganese, and acidity to ensure water quality
Stormwater management systems that help municipalities and industrial facilities track and prevent stormwater pollution and flooding using sensors for water depth, temperature, and velocity, along with data on weather conditions
Flood hazard mapping solutions that provide flood maps, catastrophe maps, terrain data, and hydrodynamic modeling to simulate various flood scenarios, assisting engineers
Wastewater analytics platforms that utilize AI, robotics, and sensors to monitor the health of wastewater infrastructure and waterways, aiding in disease spread monitoring and infrastructure maintenance
Disposal solutions for nuclear waste that include using deep boreholes in Earth’s crust and the recycling of uranium for nuclear applications
Nuclear decommissioning solutions that use robotics technology for the safe and efficient decommissioning of nuclear facilities
Recycling automation solutions that incorporate robotics, computer vision, and ML to automate the sorting and classification of recyclable materials, provide waste tracking, and offer real-time waste composition analysis
Solutions that transform mineral waste and associated by-products into sustainable construction materials, reducing waste and promoting eco-friendly building materials
Smart waste management platforms that digitize waste management processes using AI and ML, including contract management, pricing, invoicing, and billing
Sewer infrastructure management platforms that utilize computer vision to assess underground sewer infrastructure, helping cities and utilities to manage their sewer systems more effectively
Large-scale recycling solutions for lithium-ion batteries that also include refining and remanufacturing metals and battery components
Safety and automation software for micromobility devices that utilize computer vision, ML, and sensor fusion to enhance safety and functionality, including autonomous braking, speed limiting, rider alerts, pedestrian detection, crowd density monitoring, and proximity sensing
Smart EV fleet management tools that utilize AI for EV fleets to predict vehicle mileage, optimize routes using traffic and weather data, and manage deployments of EV fleets
Automated transport route and schedule testing solutions that allow urban planners to simulate transportation scenarios, visualize access gaps, and optimize schedules for proposed routes
Multimodal trip planning apps that offer real-time information for buses, trains, ride-sharing, bikeshares, and scooters to help users plan their trips using various modes of transportation
Electric vertical takeoff and landing aircraft (eVTOLs) with features such as long-range regional and urban transportation solutions, private air travel options powered by sustainable alternative fuels, and eVTOLs designed for short commutes of approximately 20 miles
Supersonic passenger airplanes with potentially net-zero carbon flights
Autonomous underground logistics systems that deliver consumer goods to cities
Hydrogen-powered commercial flights with hydrogen fuel cell powertrains that promise net-zero carbon air travel
Differential Equations, Structural Dynamics, Fluid Dynamics, Linear Algebra, Topology, Network Theory, Graph Theory, Statistics, Probability, Reliability Analysis, Numerical Analysis, Operations Research, Scheduling, Discrete Mathematics, Finite Element Analysis, Optimization Theory.
Civil Engineering, Environmental Engineering, Electrical Engineering, Mechanical Engineering, Information Technology, Telecommunications, Geotechnical Engineering, Urban Planning, Materials Science, Robotics and Automation, IoT, AI and ML, GIS, Sensors and Monitoring Technology, Big Data Analytics.
GIS Analysis; Sustainability Analysis; Quality, Analysis, & Testing; Systems Engineering; Software Engineering; Cybersecurity Engineering; Data Science; Data Analysis.
Energy
Harnessing renewable flux for energy abundance.
We’re harnessing particles, waves, heat, and atomic forces to shift towards energy abundance, ensuring every stage, from generation to consumption, is optimized across an intelligent grid.
Renewable and low-carbon energy sources include solar, wind, geothermal, and elemental. Solar and wind are relatively mature and have seen widespread deployment globally. The focus now is primarily on iterative optimization, placement strategies, and scalability. While geothermal energy is also considered mature, its application is geographically limited to areas with accessible underground heat sources, making the detection of such sites important. Nuclear, or elemental, energy is at the forefront of innovation within the low-carbon energy sector, with significant developments aimed at making it safer, smaller, more economical, and more flexible.
The smart grid facilitates two-way communication between utility providers and consumers, enabling real-time monitoring, advanced metering infrastructure, demand response initiatives, and the integration of renewable and distributed energy sources and energy storage solutions. Smart grids support the dynamic optimization of grid operations and the maintenance of the balance between electricity supply and demand.
Energy storage technologies help to address the intermittency and variability of renewable energy sources. They allow for the capture of excess energy produced during peak production times for use during periods of low production or high demand. Key technologies include batteries, thermal storage, and pumped hydro storage.
Energy generation optimization engines that use AI and ML with digital twin technology to provide health analysis, operation insights, failure detection, and power prediction
Cloud-based solar plant management systems for optimizing the efficiency of solar plant operations with AI that monitors live data from solar plants, including current, voltage, and weather data, to predict and prevent downtime disruptions, detect faults, and optimize ROI
Drones for solar farm monitoring, equipped with AI for identifying and predicting solar farm outages
Lifecycle management software for solar farms that provides support and analytics during the financing, construction, and operation of solar farms
Solar analytics and anomaly detection platforms that identify, classify, and prioritize anomalies using digital twin technology
Aerial image analysis for solar installation that leverages ML and satellite data to optimize solar installation projects and designs, including floating solar installations
IoT-enabled solar site monitoring that continuously collects data on solar sites and validate solar system performance, collecting data to improve performance forecasts with ML
Smart control and optimization for wind turbines that uses AI and sensors to provide alerts for wind gusts and wind changes, increasing energy production and extending turbine life
Wind asset management and optimization tools that optimize wind turbine operations, assess plant performance, and maximize energy production
Floating wind farms constructed on large scales and deployed in deep water areas
AI and analytics solutions for turbine blade maintenance that classify turbine blade damage and provide predictive maintenance suggestions
Comprehensive turbine risk monitoring solutions that use AI to cover identify turbine risks such as performance risks, maintenance risks, and operational risks
Wind generation forecasting solutions that utilize meteorological data and mathematical techniques for handling weather-related variables to forecast generation output.
Geothermal energy generation solutions that drill deep wells and pump water into them, heating the water deep in the earth before returning it to the surface and converting it to electricity using turbines
Reservoir characterization and de-risking solutions that use seismic and multiphysics data modeling, inversion, and integrated interpretation to analyze geothermal reservoirs and characterize them for drilling and production
Geothermal power plant development technologies such as the design and manufacture of power generating equipment for geothermal and recovered energy power plants
Geothermal data analytics and services that provide data-informed development approaches for geothermal projects
Geothermal exploration technologies that utilize data science and geoscience to improve discovery and development processes, such as forecasting generating capacity using historical data, sensing technology, and machine learning
Advanced geothermal drilling technologies that utilize millimeter drilling systems to access heat at great depths and temperatures
Portable, zero-emissions microreactors that use a helium coolant and are sized in the range of a shipping container, capable of producing power for extended periods and geared toward reducing reliance on diesel generators for consumers and the military
Advanced fusion energy from the fusion of deuterium and tritium to generate helium and neutrons
Advanced nuclear reactor designs such as molten chloride fast reactors, small modular nuclear reactors, and liquid fluoride thorium reactor technology
Fusion power devices based on magnetized target fusion or inertial confinement fusion utilizing pulsed power machines for compression
Nuclear waste management solutions such as those using directional drilling technology, and drilling into stable rock formations for long-term storage of nuclear waste
Nuclear facilities services such as decommissioning of retired facilities, used fuel management, specialized packaging for nuclear materials, and uranium mining, conversion, and enrichment
Micro-fusion reactors for space that can potentially power small spacecraft for deep space missions
Energy management software for utilities and customers with features such as demand-side management, energy analytics, utility personalization, home energy management, customer engagement, program enrollment, and load flexibility built using data science and behavioral science
Electric vehicle integration solutions that use software and ML to help utilities find EV drivers, analyze charging patterns, and enroll them in EV programs
Real-time grid control systems that aim to improve the reliability and output of the renewable energy grid by combining real-time grid data with AI to manage distributed energy resources (DERs)
Vegetation management solutions for grid reliability that use satellite imagery and tree-level data in an attempt to prevent wildfires, reduce power outages, and optimize vegetation near transmission lines
Grid forecasting and operations solutions that utilize predictive analytics, ML, and grid modeling to enhance grid efficiency
Home energy management solutions that help consumer reduce energy consumption, save money, and enroll in demand response programs
Grid-scale battery optimization and trading solutions that provide a trading platform for stored energy, utilizing AI and ML to transact the right amount of power at the right time in the right marketplace
Sustainable battery technologies such as Li-ion batteries manufactured with a lower carbon footprint
Mechanical energy storage technologies that store and release energy by raising and lowering a heavy weight, suitable for storing energy from renewable sources like solar, and can store at grid-scale
Battery recycling and sustainable lithium production solutions that use electrochemical technology to produce clean and sustainable lithium, and recycle lithium batteries
Long-duration energy storage solutions such as ion-air batteries potentially capable of storing electricity for 100 hours
Nano-composite silicon anodes that increase energy density, which extends range and shortens charge time for electric vehicles
High-performing solid state batteries that can be used in a range of vehicles, from eVTOLs to fleet vehicles
Differential Geometry, Partial Differential Equations, Stochastic Processes, Optimization Theory, Convex Optimization, Global Optimization, Graph Theory, Numerical Methods, Statistical Mechanics, Complex Systems Theory, Game Theory, Signal Processing.
Nuclear Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering, Environmental Science, Material Science, Thermal Engineering, Computer Science, Civil Engineering, Geoscience, Aerospace Engineering, Robotics, AI & ML, Nanotechnology, Hydrology.
Quality, Analysis, & Testing; Systems Engineering; Software Engineering; Cybersecurity Engineering.
Climate Tech
Synthesizing earth systems information to catalyze planetary resilience.
Through efforts ranging from decarbonization to harnessing the power of stratospheric data, climate tech is connecting the dots between our knowledge and stewardship of Earth’s resources, providing innovative pathways for mitigation, adaptation, and ecological regeneration.
Innovations in land use and regeneration span from regenerative agricultural practices that enhance soil health and carbon sequestration to advanced techniques for reforestation and carbon offsetting. These endeavors aim to harness the power of nature to both mitigate emissions and restore ecosystems, aligning agriculture and land management with climate-friendly practices.
Decarbonization is another pivotal technology which can be found throughout a multitude of sectors. From the development of low-carbon fields and renewable energy sources to carbon capture and utilization technologies, the pursuit of carbon neutrality is driving innovations that reduce emissions across industries, especially in energy production, manufacturing, and transportation.
Climate intelligence is producing solutions ranging from real-time weather forecasting and ocean monitoring to carbon tracking and emissions reduction strategies. These technologies encompass data-driven solutions for understanding, predicting, and mitigating climate-related risks.
Ocean tech is playing an increasingly vital role in preserving and restoring marine ecosystems. Innovations in this subsector include ocean health monitoring, sustainable aquaculture practices, and renewable energy generation from ocean resources.
Regenerative agricultural software that allows companies to forecast, model, monitor, verify, and report on regenerative farming practices
Aerial seeding solutions that use drones powered by ML to restore large-scale ecosystems by dropping seeds on charred land
Regenerative forestation platforms for monitoring forests using AI, LiDAR, radar, satellite imagery, and field plots to build datasets for verifying outcomes of reforestation efforts
AI solutions for wildfire detection and prevention that use computer vision and deep learning for real-time detection, classification, and verification of wildfire events
Forest management solutions that use drones with LiDAR sensors for forest mapping, inventory, and data analytics to estimate carbon capture and timber value, monitor deforestation, and forecast growth
Ecosystem data analytics solutions that combine various data sources (LiDAR, radar, imagery) with ML to estimate forest carbon storage, forecast future storage, and compare nearby areas for carbon projects
Ecosystem restoration planning software that aids in decision-making and resource allocation for land and ecosystem regeneration
Carbon transformation and utilization processes that use renewable energy to break down CO2 and transform it into critical chemicals, materials, and fuels
Direct air capture (DAC) technologies that use electricity to separate CO2 from the air and convert it to various materials, such as for agricultural uses in greenhouses
Synthetic fuel production using a carbon-neutral process that yields commercially viable fuels like jet fuel and zero-net carbon gasoline
Carbonization machinery for waste upcycling that converts biomass, sewer sludge, and other waste into biochar and fertilizing substances
Carbon footprint tracking and monitoring solutions that utilize satellites to provide tools for estimating and monitoring greenhouse gas emissions
Lab-grown diamonds from captured carbon produced using renewable energy and air-captured carbon to convert CO2 into CH4
Genetic engineering of trees to create breeds that capture increased amounts of carbon, can accumulate more metals in their roots and stems, and can grow in degraded lands with high concentrations of heavy metals
Carbon mineralization technologies that use captured carbon to create bricks made of minerals
High-temperature CO2 capture in industrial applications that utilize liquid-phase metals to capture CO2 at high temperatures in industrial process such as those for concrete, steel, and hydrogen production
Carbon removal technologies that utilize captured carbon in the production of cement, reducing its carbon footprint
Environmental data and emissions monitoring platforms for collecting, analyzing, quantifying, and visualizing asset-level environmental risks and emissions profiles
Climate resilience forecasting solutions that leverage data and AI to provide short- and long-term forecasts for climate resilience in operations and supply chains
Climate and crop analytics platforms that measure, predict, and mitigate climate risks to agriculture with weather monitoring, temperature, rainfall, humidity, and wind speed data
Space-based weather forecasting systems that use weather radar satellites and AI-driven forecast models
Energy project management software for identifying, designing, and maintaining energy-efficient improvements in commercial buildings, analyzing energy use and its environmental impact
Climate risk analysis platforms with climate risk modeling solutions aimed at mitigating the effects of potentially catastrophic weather events using ML, cloud infrastructure, global climate models, historical datasets, and topological models
AI-powered climate intelligence platforms that automatically detect and quantify climate risks at the asset level by integrating climate data with expertise in earth science and ML
Decentralized platforms for environmental impact assessments that help local communities demonstrate, optimize, and monetize their environmental impact by utilizing open science, ML, and federated causal modeling tools to quantify and validate local project impact
Regenerative ocean farming tools such as digital farm design tools and community hubs for ocean farmers that focuses on replicating and scaling regenerative ocean farms
Ocean carbon offset and restoration solutions that utilize nature-based processes to store carbon in the deep ocean, such as sinking terrestrial biomass, growing kelp, and farming shellfish
Ocean sensing and exploration technologies that collect data and feed it into an ocean intelligence platform that maps real-time ocean metrics such as current, temperature, and weather to produce ocean weather forecasts and datasets
Wave energy conversion technologies that generate energy from ocean waves utilizing floaters to convert the rising and falling motion of waves into clean energy
Maritime emissions monitoring software and analytics platforms that help ships measure, report, and reduce emissions and fuel consumption using real-time data and emissions measurements to track, analyze, and improve emissions from ships and ports
Unmanned underwater vehicles equipped with complex subsea sensors, batteries, and robotics to collect high-resolution seabed imagery
Off-shore aquaculture farms that minimize the carbon footprint for farmed fish
Chaos Theory, Statistics, Probability, Dynamical Systems, Graph Theory, Stochastic Differential Equations, Multivariate Analysis, Nonlinear Optimization, Game Theory, Geospatial Analysis.
Environmental Science, Agricultural Sciences, Renewable Energy Engineering, Electrical Engineering, Marine Biology and Oceanography, Forestry and Land Management, Biotechnology, Remote Sensing and GIS, Atmospheric Sciences, Nanotechnology, and Synthetic Biology.
Statistical Quality Control; Automation Engineering; Quality, Analysis, & Testing; Systems Engineering; Software Engineering; Cybersecurity Engineering; Data Science.
Additional Deep Tech Sectors
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