Retrofit liquid cooling kit targets air-cooled data centre halls
A cold-plate and coolant distribution kit designed to be installed into existing racks without rebuilding the facility floor.
Source: Huburb demo record · no external source attached
The discovery layer: what is gaining momentum, who is building it, and which signals may point to something larger. Radar describes activity — it is not a ranking or investment advice.
Development dataset. Huburb is being built in public. The records on this page are illustrative placeholders designed to be replaced by sourced entries — no source has been invented for them.
AI agents are software systems that use a language model to plan a sequence of steps and then take actions — calling tools, writing files, querying databases — instead of only producing text.
Large models trained on broad data that can be adapted to many downstream tasks rather than being built for one purpose.
The set of techniques — quantisation, batching, caching, distillation and specialised silicon — that reduce the cost and latency of running a trained model.
Moving heat away from servers using liquid — either cold plates attached to chips or full immersion in a dielectric fluid — instead of moving air.
General-purpose robots with a roughly human form factor, intended to work in spaces built for people rather than in purpose-built cells.
Vehicles that perceive their surroundings and drive without a human operator, ranging from robotaxis to yard trucks and delivery pods.
Nuclear reactors in the roughly 50–300 MW range, built from factory-produced modules rather than assembled entirely on site.
Storage that discharges for ten hours or more — iron-air, flow batteries, thermal and mechanical systems — as opposed to the four-hour lithium standard.
Machinery that pulls carbon dioxide directly out of ambient air for permanent storage or industrial use.
Using machine learning models to predict protein structure and to design new proteins with intended functions.
Satellite constellations that image and sense the planet continuously, across optical, radar and hyperspectral bands.
Eyewear with cameras, microphones, speakers and sometimes a display, used as a hands-free interface to an AI assistant.
Agent platform for back-office workflows with human approval built in.
Toronto, Canada · Founded 2023
Inference serving stack aimed at cost per token rather than peak throughput.
Austin, United States · Founded 2022
Direct-to-chip cooling kits designed for retrofit rather than new builds.
Rotterdam, Netherlands · Founded 2022
Factory-built small modular reactors for industrial sites.
Ottawa, Canada · Founded 2020
Multi-day storage using abundant, low-cost materials.
Perth, Australia · Founded 2021
Direct air capture co-located with geothermal heat and storage.
Reykjavík, Iceland · Founded 2020
General-purpose robots for handling tasks in existing warehouses.
Munich, Germany · Founded 2022
Radar imaging constellation with an analytics-first product.
Glasgow, United Kingdom · Founded 2020
Error-correction-first quantum hardware programme.
Delft, Netherlands · Founded 2018
Designed proteins with automated wet-lab validation in the loop.
Boston, United States · Founded 2021
Monitoring and containment for autonomous software agents.
Tel Aviv, Israel · Founded 2023
Artificial Intelligence
Models, agents and the infrastructure behind them.
Robotics
Machines that act in the physical world.
Data Centers & Compute
The physical substrate of the AI era.
Energy
Generation, storage and grid capacity.
Climate Tech
Removing, avoiding and adapting.
Space
Launch, orbit and what gets built up there.
Quantum Computing
Early machines, long horizons.
FinTech
Payments, credit and financial infrastructure.
HealthTech & Biotech
Biology as an engineering discipline.
Smart Cities
Instrumented, and hopefully more liveable.
Semiconductors
Where compute is actually made.
Cybersecurity
Defending systems that increasingly act on their own.
AI capacity planning has become an electricity problem. Interconnection queues, transformer lead times and cooling water now determine build schedules more than chip supply does.
SignalThe constraint on deploying AI agents in serious workflows is not capability but accountability. Audit trails, scoped permissions and approval steps are becoming the product.
SignalAs AI products reach volume, attention is shifting from training runs to the recurring cost of serving. Routing, compression and purpose-built silicon are where margin is won.
SignalHumanoid platforms are being sold as general labour but deployed on single repetitive tasks, because that is where data, safety cases and payback periods are tractable.
SignalBuyers with round-the-clock load are paying for generation they can schedule. That is pulling capital toward nuclear, geothermal and multi-day storage rather than additional intermittent capacity.
SignalSatellites, sensors and models are converging on a market for verified answers — emissions, crop yield, construction progress — rather than raw data feeds.
A cold-plate and coolant distribution kit designed to be installed into existing racks without rebuilding the facility floor.
Source: Huburb demo record · no external source attached
A serving layer that sends each request to the cheapest model meeting a declared quality threshold rather than defaulting to the largest available model.
Source: Huburb demo record · no external source attached
An Earth observation company shifts from selling imagery to selling detected changes on infrastructure and land.
Source: Huburb demo record · no external source attached
A chip designed for serving rather than training reaches volume manufacture with a supporting compiler stack.
Source: Huburb demo record · no external source attached