Archean Sciences builds autonomous, microfluidic "brain‑on‑a‑chip" platforms that keep human neuron cultures alive and functional for weeks, enabling continuous, 24/7 electrophysiological experiments.
Funding
Funding not disclosed
Founders
Product
Problem
Neuroscience research, drug discovery, and AI hardware development rely on experimental platforms that are slow, costly, and energy‑intensive, creating bottlenecks in translating findings to therapies or efficient computing.
Solution
Archean Sciences creates autonomous, living‑cell platforms that integrate human neurons with computational control to provide continuous, in‑vitro experimentation. Their “brain‑on‑a‑chip” systems maintain human neuronal cultures 24/7, enabling high‑throughput, closed‑loop testing of drug candidates without the need for animal models or manual intervention. By using living neurons as an organic substrate, the platforms can perform energy‑efficient information processing, offering an alternative to power‑hungry silicon AI hardware. The technology combines synthetic biology, microfluidics, and real‑time data analytics to deliver reproducible, human‑relevant results for neuroscience, pharmaceutical screening, and low‑power computing applications.
Target Audience
Primary customers are academic neuroscience labs, pharmaceutical R&D teams seeking rapid preclinical screening, and AI hardware developers exploring low‑power bio‑computing solutions.
Features
- Microfluidic chip architecture that sustains human neuron cultures continuously for weeks to months
- Integrated sensors and actuators for automated electrophysiological recording and stimulus delivery
- Closed‑loop software platform that adjusts experimental parameters in real time based on neuronal responses
- Scalable parallelization allowing simultaneous testing of multiple drug candidates or computational workloads
- Energy‑efficient computation using living neuronal networks as organic processing substrates
- Cloud‑connected data pipeline for secure storage, analysis, and visualization of longitudinal neuronal activity