"OdyssLife" Closes Nearly 200 Million Yuan in New Funding, Linear Capital Continues to Double Down | Linear Portfolio

Today, AI health hardware company OdyssLife announced it has raised nearly RMB 200 million in new funding. The round was led by HSG and Monolith respectively, with existing investors Linear Capital and Creekstone continuing to increase their stakes.

OdyssLife was founded in the second half of 2025. Its founding team consists of post-95s generation members with frontline AI product and technical backgrounds at major domestic and international tech companies. Its debut product, the Odyss N1, is the world's first Always-On smart necklace, integrating multimodal perception capabilities spanning image, audio, and motion to continuously sense and record users' dietary and exercise behaviors around the clock.

Linear Capital led OdyssLife's angel round and has continued to increase its investment in every subsequent round.

On March 26, AI health hardware company OdyssLife (hereafter referred to as Odyss) announced it had recently completed multiple consecutive funding rounds totaling nearly RMB 200 million. The round was led by HSG and Monolith respectively, with existing investors Linear Capital and Creekstone continuing to increase their stakes.

The proceeds will be used primarily for product hardware and software R&D, global marketing, and team expansion.

At a time when the AI hardware track is drawing intense capital interest, Odyss is targeting a high-frequency scenario that has yet to be fully digitized — dietary health monitoring.

Odyss's first product, the Odyss N1, is the world's first Always-On smart necklace, integrating multimodal perception capabilities spanning image, audio, and motion to continuously sense and record users' dietary and exercise behaviors around the clock.

Odyss founder and CEO Yuyang Pan believes that in dietary scenarios — an everyday high-frequency use case — existing smart wearables have fundamental physical limitations: bracelets and rings lack vision and cannot perceive food; meanwhile, CGMs are medical devices with overly strong medical associations that naturally distance them from ordinary consumers.

By comparison, the necklace form factor offers two key advantages: it's light enough — just a few dozen grams — to enable truly unobtrusive all-day wear, and it provides a naturally wide-angle "God's-eye view" that can accommodate low-power visual perception camera modules, solving the pain point of traditional wearables' inability to accurately capture dietary data.

Specifically, the Odyss N1 builds a trimodal perception system with vision as the primary modality and audio and motion sensing as secondary supports. The core vision module abandons high-energy-consumption continuous video recording in favor of low-power "frame-capture" technology, precisely capturing full-scenario data from restaurant dining to home cooking, and identifying fine-grained information such as food type, portion size, and cooking method.

Meanwhile, the audio and motion modalities respectively capture semantic keywords from ordering conversations and monitor users' metabolic states, assisting in improving data accuracy. Based on this, the system performs deep learning on complex data including calories, nutrients, and glycemic index, ultimately generating personalized health intervention strategies grounded in users' real-life conditions.

While many AI hardware startups reuse mature supply chain solutions to reduce costs, well-capitalized Odyss has chosen to continuously optimize its product through custom components.

At the hardware level, to achieve low-power, high-precision visual perception within the necklace's extremely compact form factor, the company has custom-designed dedicated vision modules and power systems, and adopted the more expensive titanium alloy CNC machining process to further enhance exterior quality.

At the software level, Pan believes general-purpose models have not yet reached commercial-grade accuracy on vertical tasks such as food identification and calorie estimation.

Therefore, Odyss has built a proprietary pipeline combining "small model pre-training + large model post-training." The large model handles dish type and cooking method identification — the critical "safety net" for dietary monitoring — and retrieves food composition data from databases for calculation; traditional computer vision (CV) algorithms, with their high precision, are dedicated to measuring food dimensions and barcode scanning.

36Kr learned that, based on Odyss team's measurements, the Odyss N1 has achieved over 90% accuracy in calorie identification for standard Western cuisine.

On the business model front, Odyss plans to adopt a "hardware + subscription" combination. In the early stage, the company intends to maintain a premium "tech fashion" positioning on the hardware side while reducing initial software subscription fees, aiming to lower the barrier to entry, rapidly expand its user base, and establish category mindshare.

In terms of target customer selection, Odyss plans to initially focus its core user base on "bio-hackers," tech-finance professionals, and fitness enthusiasts among other high-net-worth groups.

Pan believes these seed users not only possess extremely high data sensitivity and spending power, but more importantly, they will be the definers of "social currency."

"In the consumption logic of high-net-worth individuals, wearable devices often carry identity-label functions — no one wants to wear a 'market number two' imitator on their chest," Pan stated.

Odyss has mapped out a high-frequency SKU iteration roadmap for its product planning. The company plans to maintain a pace of launching a new series every 3-4 months, meeting core users' demands for quality and personalization through high-spec CMF (color, material, finish) design spanning diverse materials. Going forward, the company will also specifically develop SKUs aligned with female users' aesthetic preferences, gradually expanding to broader mass-market demographics.

On business progress, Odyss plans to launch KOL testing in North America this April, go live on crowdfunding platforms in June, and begin formal shipments through its direct-to-consumer website in August-September. Additionally, Odyss will accelerate its global expansion, targeting entry into mainland China, Japan, and European markets within two years, and establishing complete channels and data pipelines domestically.

Regarding market competition, Pan believes that future AI hardware will not be All-in-one devices like smartphones, but rather specialized tools for specialized purposes.

The necklace is the optimal form factor for capturing dietary data. While there are currently no direct competitors, the company is in a 0-to-1 phase; even if 3-5 direct competitors were to emerge, they could collectively reduce supply chain costs and educate the market.

On the team front, Pan previously worked on Xiaoyi algorithm and HarmonyOS product at Huawei, as well as on Coze and Doubao smart glasses at ByteDance. Core team members hail primarily from leading domestic and international internet, hardware, and AI model companies.

The Odyss team is currently in an expansion phase and is actively recruiting for key positions in front-end and back-end engineering, algorithms, hardware R&D, and global marketing (to apply, contact: hr@odyss.life).