6Letters Launches "MOJO KING," an Apple Watch-Based iOS App for Non-Invasive Testosterone Monitoring

SEOUL, South Korea, Jan. 20, 2026 /PRNewswire/ -- Digital healthcare startup 6Letters today announced the official launch of MOJO KING, an iOS application that enables non-invasive monitoring of testosterone-related physiological patterns using Apple Watch data.

MOJO KING leverages heart rate variability (HRV)—a standard biometric signal collected by Apple Watch—to analyze changes associated with male hormonal balance. Without requiring blood tests or external sensors, the app allows users to track hormone-related trends seamlessly in everyday life.

The current version of MOJO KING analyzes individual biometric signals in relation to age-group baselines and 24-hour circadian rhythms. Based on this analysis, users are classified into intuitive categories: "Teto Guy" when values are above the age-adjusted average, or "Egen Guy" when below. Results are presented in a user-friendly visual format and can be easily shared via social media platforms such as Instagram.

With a paid subscription, users can remove in-app advertisements and enable automatic, continuous measurements, allowing them to observe personalized hormone-related changes over time. This supports a shift from one-time readings to longitudinal, trend-based hormone monitoring tailored to individual lifestyles.

MOJO KING is built on a foundation of multiple patents and peer-reviewed scientific research. To further enhance accuracy and personalization, 6Letters is currently training machine-learning models using large-scale medical datasets from the UK Biobank, CDC, Physionet etc. Insights derived from this work will power the next generation of the company's hormone analytics platform.

Notably, MOJO KING goes beyond conventional smartwatch fitness use cases that focus primarily on heart rate and respiration during aerobic exercise. The app introduces a differentiated approach by analyzing pre- and post-changes associated with moderate-to-high-intensity resistance training, offering new insights into hormone-related responses to strength-focused workouts.

Looking ahead, 6Letters plans to expand MOJO KING with additional modes, including hormone-dependent hair loss management and growth-phase optimization. The company is also preparing to launch MOJO QUEEN, a complementary digital health application focused on female hormone analytics.

In parallel, 6Letters is currently conducting a pre-seed funding round at an approximate company valuation of USD 5 million. The company expects to complete AI training based on a huge medical data and plans to apply for FDA 510(k) clearance in the first half of 2026, followed by entry into the U.S. Remote Patient Monitoring (RPM) reimbursement market.

MOJO KING is designed to help users understand and manage hormone-related physiological signals in everyday life, said a representative of 6Letters. By combining scientific evidence, large-scale medical data, and wearable technology, 6Letters aims to build a globally scalable digital hormone health platform.

** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

6Letters Launches "MOJO KING," an Apple Watch-Based iOS App for Non-Invasive Testosterone Monitoring

Reduces HBM Costs with GPU–Tenstorrent Heterogeneous Distributed Serving
First unveiled at Tenstorrent's launch event, TT-Deploy, in San Francisco on May 1

SANTA CLARA, Calif., May 2, 2026 /PRNewswire/ -- Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, announced that it has successfully validated LLM inference performance on the Tenstorrent Galaxy Wormhole system using its proprietary 'MoAI Inference Framework.'

Based on tests across leading Mixture-of-Experts (MoE) models—including GPT-OSS, Qwen, GLM, and DeepSeek—Moreh achieved LLM inference performance on Tenstorrent Galaxy Wormhole matching or surpassing NVIDIA DGX A100-class systems, demonstrating a compelling alternative to conventional GPU-centric AI infrastructure.

Moreh also improved cost efficiency by implementing a disaggregated serving architecture that combines GPUs with Tenstorrent Wormhole chips. By utilizing Tenstorrent processors as dedicated prefill accelerators, the company reduced reliance on high-cost HBM and lowered overall infrastructure costs.

The results were first unveiled at Tenstorrent's launch event, TT-Deploy, held on May 1 in San Francisco.

As a strategic partner of Tenstorrent and a major external contributor to Metalium, Moreh showcased a live LLM inference demo at the event. Building on its experience operating AMD GPU-based production environments in real-world data centers, the company presented its latest technical achievements in 'Production-Ready LLM Inference on Tenstorrent Galaxy.'

MoAI Inference Framework is a disaggregated inference solution that enables unified operation of heterogeneous GPUs and NPUs—including NVIDIA, AMD, and Tenstorrent—within a single cluster. This allows enterprises to build flexible AI infrastructure strategies without vendor lock-in.

Moreh CEO Gangwon Jo stated, "Achieving production-grade LLM inference performance and stability on Tenstorrent-based systems marks a significant milestone," and added, "We will continue to enhance performance through deeper optimization across heterogeneous architectures and closer integration with Tenstorrent NPUs."

Moreh is developing its own core AI infrastructure engine and, through its foundation LLM subsidiary Motif Technologies, is building end-to-end capabilities spanning both infrastructure and model domains. Simultaneously, the company is making its mark in the global market through collaborations with key partners such as AMD, Tenstorrent, and SGLang.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

MOREH Demonstrates Production-Ready LLM Inference on Tenstorrent Galaxy, Achieving DGX A100-Class Performance with Improved Cost Efficiency