Every human cell runs on a steep voltage gradient—roughly 180 mV—maintained by its mitochondria. When that gradient is deep, ATP streams out, thoughts arrive crisp, muscles answer on cue, immunity stays watchful.
Modern life, unfortunately, chips away at the gradient long before glucose or LDL twitch. Blue-shifted light at midnight blurs the clock that times mitochondrial repair; constant calories and low-grade stress keep the electron queue full while maintenance windows shrink; broken sleep robs the organelle of its nightly refit.
The first thing to give way is spare respiratory capacity—the head-room between the oxygen a cell burns at idle and what it could burn in a crunch. A healthy cell cruises at fifteen to twenty-five percent of its limit; a stressed cell idles so close to the ceiling that one extra demand pushes it into brown-out. People feel that as afternoon fog, stubborn weight gain, or premature fatigue—months or years before HbA1c, CRP, or cholesterol leave the reference range.
Traditional diagnostics measure the fuel in the bloodstream or the exhaust in the bloodstream; they never look at the power still available inside the cell. PCB was created to do exactly that.
We’re developing the first integrated platform to measure, understand, and optimize cellular energy in real-time. While traditional healthcare focuses on symptoms that appear in blood chemistry, we’re building technology that goes directly to the source of human performance: the electrical systems powering every cell in your body.
Our Technology Development Approach
→ Real-Time Cellular Energy Assessment
We’re engineering diagnostic systems that can measure mitochondrial respiratory capacity from minimal blood samples. The technology we’re developing aims to quantify cellular energy reserves the same way we currently measure blood pressure or glucose levels. This involves creating portable devices that can assess oxygen consumption patterns and ATP generation efficiency in real-time.
→ Molecular Signature Analysis
We’re developing methods to analyze circulating biomarkers that indicate mitochondrial stress and dysfunction. When cells experience energy problems, they release specific molecular signals that can be detected and interpreted. Our technology aims to decode these cellular distress signals to understand not just that energy systems are failing, but why they’re failing.
This involves creating assays that examine mitochondrial DNA integrity, membrane oxidation markers, and protein stability indicators from the same blood sample used for energy assessment. The goal is providing a comprehensive molecular profile of cellular energy status rather than single-parameter measurements.
→ Targeted Intervention Development
We’re working toward precision interventions that address specific patterns of cellular energy dysfunction. Rather than generic supplements that may or may not reach target tissues, we’re developing delivery systems for targeted peptides and cofactors that can restore mitochondrial function.
The intervention approach we’re pursuing involves matching specific molecular signatures of dysfunction with customized biological programs designed to repair those particular cellular energy deficits. This personalized approach aims to optimize intervention effectiveness while minimizing unnecessary treatments.
→ Adaptive Learning Integration
We’re building machine learning systems that continuously improve diagnostic accuracy and intervention recommendations based on accumulated data. The platform we’re developing learns from each assessment and outcome to refine its ability to predict cellular energy problems and optimize individual treatment protocols.
This involves creating algorithms that can identify patterns in cellular energy data that may not be apparent through traditional analysis methods. The goal is developing increasingly precise personalized approaches to cellular energy optimization over time.
Scientific Foundation and Development Timeline
Our development work builds on established research showing that mitochondrial dysfunction contributes to aging and chronic disease. Studies demonstrate that interventions targeting mitochondrial function can improve healthspan and metabolic performance. Recent advances in biomarker detection and portable diagnostic technology make real-time cellular energy assessment increasingly feasible.
Pipeline
| Indication Cluster | 2025 Focus | 2026 Target | 2027–2028 Target |
|---|---|---|---|
| Cognitive & Affective Stress (GAD, cognitive-load fatigue) | Discovery → Alpha Prototype Biomarker lock (CEC + OBI) 30-subject feasibility | Beta Prototype 150-subject multi-site validation | Market Launch (LDT) Outcome tracking study |
| Somatic Stress & Fatigue (post-viral, over-training, CFS) | Discovery Marker scouting (CEC + OBI + MSI) 60-sample biobank | Alpha Prototype 100-subject performance-clinic run | Pivotal Study 300-subject cross-phenotype trial |
| Neurodevelopmental Spectrum (ADHD, ADD, ASD) | Late Discovery / Breadboard Prototype Add DDCI marker IRB-ready protocol drafted | Beta Prototype + Pilot 200-subject paediatric & adult pilot | Pivotal (Reg-ready) 500-subject, 10-site study |
| Age-Related Neurodegeneration (Parkinson’s, Alzheimer’s, dementias) | (pipeline slot reserved) | (assay definition reserved) | Early Discovery Starts 2027 Longitudinal cohort onboarding Exploratory IMC / NIAS signal scouting |
The Platform Vision
Our vision involves making cellular energy optimization as routine and accessible as other preventive health measures. We’re working toward a future where declining cellular energy can be detected and addressed before it impacts daily performance or long-term health outcomes.
The technology platform we’re developing aims to serve multiple applications: metabolic health optimization, cognitive performance enhancement, exercise capacity improvement, and healthy aging support. By addressing cellular energy at its source, interventions may provide benefits across multiple health domains simultaneously rather than targeting isolated symptoms.
We’re building toward diagnostic and intervention systems that become more effective and personalized over time, creating a foundation for precision approaches to cellular energy optimization that can adapt to individual biological variation and changing needs.