Artificial Intelligence

DeepCyte Raises US$1.5M to Use AI and Single-Cell Analysis to Predict Drug Toxicity

A new approach examines how individual cells respond to drugs, aiming to identify risks earlier in development.

Updated

April 15, 2026 6:01 PM

Close up of a capsule blister pack. PHOTO: UNSPLASH

DeepCyte, a startup in the drug development space, is focusing on a long-standing problem: why drugs that appear safe in early testing still fail in clinical trials or are withdrawn later due to toxicity. DeepCyte has launched with US$1.5 million in seed funding to build tools that detect and explain the harmful effects of drugs at much earlier stages.

The startup’s approach focuses on how individual cells respond to a drug. Instead of analysing cells in bulk, it studies them one by one. This helps capture differences in how cells react, which are often missed in traditional testing methods.

Drug toxicity remains one of the main reasons for failure in drug development. Methods such as animal testing and bulk cell analysis do not always reflect how human cells behave. This gap has pushed the industry to look for more reliable and human-relevant ways to test drug safety.

DeepCyte combines cell-level data with artificial intelligence. Its platform, MetaCore, studies what is happening inside individual cells by capturing detailed molecular information. This data is used to build large datasets that can train AI models.

Additionally, the company has developed an AI system called DeeImmuno. It is designed to predict whether a drug could be toxic and identify the biological reasons behind it. In internal testing on 100 drugs, the system identified different types of toxicity and their underlying mechanisms with a reported accuracy of 94 percent.

The focus on explaining why a drug is toxic, not just whether it is, reflects a broader shift in the industry. Regulators such as the U.S. Food and Drug Administration and the European Medicines Agency have been encouraging methods that rely more on human cell data and clearer biological evidence. The seed funding will be used to develop and scale these tools. The company aims to help drug developers make earlier decisions, which could reduce costly failures in later stages. Whether tools like this become widely used will depend on how they perform in real-world settings. For now, DeepCyte’s approach highlights a growing effort to make drug testing more precise by focusing on how drugs affect cells at the most detailed level.

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Deep Tech

The Future of Cloud Computing Is in Space — PowerBank and Orbit AI Show How

A breakdown of the mission aiming to turn space into the next layer of digital infrastructure.

Updated

January 8, 2026 6:32 PM

The Hubble Space Telescope, one of the fist space infrastructures. PHOTO: UNSPLASH

PowerBank Corporation and Smartlink AI, the company behind Orbit AI, are preparing to send a very different kind of satellite into space. Their upcoming mission, scheduled for December 2025, aims to test what they call the world’s first “Orbital Cloud” — a system that moves parts of today’s digital infrastructure off the ground and into orbit. While satellites already handle GPS, TV signals and weather data, this project tries to do something bigger: turn space itself into a platform for computing, artificial intelligence (AI) and secure blockchain-based digital transactions. In essence, it marks the beginning of space-based cloud computing.

To understand why this matters, it is helpful to examine the limitations of our current systems. As AI tools grow more advanced, they require massive data centers that consume enormous amounts of electricity, especially for cooling. These facilities depend on national power grids, face regulatory constraints and are concentrated in just a few regions. Meanwhile, global connectivity still struggles with inequalities, censorship, congestion and geopolitical bottlenecks. The Orbital Cloud is meant to plug these gaps by building a computing and communication layer above Earth — a solar-powered, space-cooled network in Low Earth Orbit (LEO) that no single nation or company fully controls.

Orbit AI’s approach brings together two new systems. The first, called DeStarlink, is a decentralized satellite network designed for global internet-style connectivity and resilient communication. The second, DeStarAI, is a set of AI-focused in-orbit data centers placed directly on satellites, using space’s naturally cold environment instead of the energy-hungry cooling towers used on Earth. When these two ideas merge, the result is a floating digital layer where information can be transmitted, processed and verified without touching terrestrial infrastructure — a key shift in how AI workloads and cloud computing may be handled in the future.

PowerBank enters the picture by supplying the electricity and temperature-control technology needed to keep these satellites running. In space, sunlight is constant and uninterrupted — no clouds, no storms, no nighttime periods where panels lie idle. PowerBank plans to provide high-efficiency solar arrays and adaptive thermal systems that help the satellites manage heat in orbit. This collaboration marks a shift for PowerBank, which is expanding from traditional solar and battery projects into the realm of digital infrastructure, AI energy systems and next-generation satellite technology.

Describing the ambition behind this move, Dr. Richard Lu, CEO of PowerBank, said: “The next frontier of human innovation isn't just in space exploration, it's in building the infrastructure of tomorrow above the Earth”. He pointed to a future market that could surpass US$700 billion, driven by orbital satellites, AI computing in space, blockchain verification and solar-powered data systems. Integrating solar energy with orbital computing, he said, could help create “a globally sovereign, AI-enabled digital layer in space, which is a system that can help power finance, communications and critical infrastructure”.

Orbit AI’s Co-Founder and CEO, Gus Liu, describes their satellites as deliberately autonomous and intelligent. “Orbit AI is creating the first truly intelligent layer in orbit — satellites that compute, verify and optimize themselves autonomously”, he said, “The Orbital Cloud turns space into a platform for AI, blockchain and global connectivity. By leveraging solar-powered compute payloads and decentralized verification nodes, we are opening an entirely new, potentially US$700+ billion-dollar market opportunity — one that combines energy, data and sovereignty to reshape industries from finance to government and Web3. PowerBank's expertise in advanced solar energy systems will be significant in supporting this initiative."

This vision is not isolated. Earlier this year, Jeff Bezos echoed a similar idea at Italian Tech Week, saying: “We will be able to beat the cost of terrestrial data centres in space in the next couple of decades. These giant training clusters will be better built in space, because we have solar power there, 24/7 — no clouds, no rain, no weather.  The next step is going to be data centres and then other kinds of manufacturing.” His comments reflect a growing industry belief that space-based data centers will eventually outperform those on Earth.

The idea gains traction because the advantages are practical. Space offers free, constant solar power. It provides natural cooling, which is one of the costliest parts of running data centers on Earth. And above all, satellites in low-Earth orbit operate beyond national firewalls and political boundaries, making them more resilient to outages, censorship and conflict. For industries that rely heavily on secure connectivity and real-time data — finance, defense, AI, blockchain networks and global cloud providers — this could become an important alternative layer of infrastructure.

The upcoming Genesis-1 satellite is designed as a demonstration mission. It will test an Ethereum wallet, run a blockchain verification node and perform simple AI tasks in orbit. If the technology works as expected, Orbit AI plans to add several more satellites in 2026, expand into larger networks by 2027 and 2028 and begin full commercial operations by the decade’s end.

To build this system, Orbit AI plans to source technologies from some of the world’s most influential players: NVIDIA for AI processors, the Ethereum Foundation for blockchain tools, Galaxy Space and SparkX Satellite for satellite components, Galactic Energy for launch systems and AscendX Aerospace for advanced materials.

If successful, the Orbital Cloud could become the first step toward a world where part of humanity’s data, computing power and digital services run not in massive buildings on Earth, but in clusters of autonomous satellites illuminated by constant sunlight. For now, the journey begins with a single launch — a test satellite aiming to show that space can do far more than connect us. It may soon help power the systems that run our economies, technologies and global communication networks.