Enterprise AI,
Ready!
Buying GPUs doesn't mean owning AI. Maxta productizes the complex AI engineering stack, helping enterprises truly own, master, and operationalize AI.
From Enterprise HCI
to Enterprise AI Ready！
Founded in 2009 by Yoram Novick in Santa Clara, Silicon Valley, Maxta has spent the past 17 years engineering highly reliable, enterprise-grade infrastructure, backed by early investments from Andreessen Horowitz (a16z) and Intel Capital.
In 2025, fueled by a $30 million strategic investment and restructuring by the Winzheng Family Fund, Maxta underwent a historic transformation. Directly addressing the industry's harsh reality that「Purchasing Compute ≠ Owning AI」Maxta pioneered the「MaxtaOS + MaxModel」decoupled architecture, completely bridging the underlying engineering chasm. We are dedicated to democratizing top-tier AI capabilities, spearheading the era of 0 Day delivery for Enterprise AI.
Founding & Launch
Founded in Silicon Valley with a16z & Intel Capital investment, focused on enterprise infrastructure R&D.
Building the IP Moat
Accumulated a massive core IP portfolio, establishing a patent moat in enterprise storage.
Award-Winning Era
Gartner HCI Magic Quadrant alongside Microsoft, Huawei, Dell; Red Herring Global Top 100; CRN 5-Star Partner; 100+ patents.
Bridging the AI Engineering Chasm
Strategic restructuring, rebuilding the core into MaxtaOS+MaxModel. Bridging the engineering chasm via decoupled architecture to make Enterprise AI「Power On, AI Ready」.
Two Hard Metrics for Enterprise AI
Refuse to entrust core computing power to others. Refuse to let models become chat toys.
Own AI · Computing Sovereignty
MaxtaOS shields hardware complexity, enabling plug-and-play for domestic computing chips. Completely breaks vendor lock-in with 100% hardware independence, putting computing power in the enterprise's own hands.
Master AI · Business ROI
MaxModel ensures AI investment solves real business problems and delivers genuine ROI through expert curation and industry Know-how. Upgrades enterprise AI from 'chat toy' to core productivity that creates real business value.
Dual-Core Engine for a Complete AI Capability Stack
MaxtaOS and MaxModel work in synergy, building a complete technology foundation for enterprise intelligent transformation
MaxtaOS
MaxtaOS is Maxta's production-grade AI operations hub, focused on 'computing power management and stable operation'. Through heterogeneous adaptation, intelligent scheduling, and fine-grained cost control, it provides reliable infrastructure for enterprise intelligent business deployment.
MaxModel
Enterprise AI model asset center, dedicated to creating a 'install like an APP' model experience. Pre-loaded with global top SOTA models and industry expert packages, shielding complex dependencies, enabling enterprises to quickly access verified, secure AI capabilities.
Five Industries, Deep Implementation
Covering manufacturing, healthcare, tobacco, steel and other key industries, driving real business value through production data intelligence
Production Process Analytics
Automotive BOM change impact analysis (processing time reduced from 1-2 hours to minutes); Steel billet digital tracking with high-frequency data mapping; Tobacco material consumption monitoring with constant flow control.
Process Quality Control
Intelligent prediction of billet slag inclusion (crack recognition rate 99.6%); Random forest-based crack-process variable correlation analysis; Tobacco cooling moisture smart control and full-process cigarette draw resistance optimization.
Intelligent Scheduling
Continuous casting intelligent scheduling (train timetable visualization), automatic process time conflict detection and early warning; Tobacco multi-line scheduling model optimization, reducing resource waste.
Predictive Maintenance
Five support models (vibration spectrum trends, current/voltage deep analysis, fault diagnosis etc.); Multi-sensor fusion technology; Embedded AI online anomaly diagnosis, reducing unplanned downtime.
Energy Control
Electric furnace energy consumption prediction model (radar chart visualization + diagnostic warning + variance analysis); Three-dimensional joint optimization from ingredients, process to results, helping the steel industry save energy and reduce carbon.
Top Academic Power Injected into Industrial AI
Experts from top research institutions in China and the US, converting cutting-edge algorithm results into deployable enterprise-grade productivity
Prof. Jay Lee
Clark Distinguished Professor, University of Maryland
Founding figure of Industrial AI, Director of Industrial AI Center at University of Maryland. Built 100+ real industrial datasets platform, research covers transfer learning, domain adaptation, Stream-of-X intelligence and ILKM large knowledge models. ACM/ASME/SME Multi-Fellow.
Prof. Chen Guoliang
Academician of CAS · CCF Lifetime Award
Pioneer of non-numerical parallel algorithm research. Founded China's first HPC center in 1995. Proposed the 'Structure-Algorithm-Programming' integrated parallel computing methodology. Led 20+ major projects including 863, 973, and Climbing Program. Trained over 200 doctoral students.
Prof. Haipeng Shen
Associate Dean & Prof, HKU Business School
A premier scholar in data science and business decision-making (Ph.D., Wharton, UPenn). Specializing in high-dimensional analysis, he cuts through massive data noise to translate complex industrial and business operations into precise quantitative models—arming management with penetrating financial insights and strategic support.
Strategic Partners & Validated Clients
Deep collaboration with industry-leading enterprises, jointly advancing AI deployment
China Strategic Partners
Global Client Validation