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
toEnterprise 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. Full AI Stack
MaxtaOS and MaxModel converge to power end-to-end enterprise AI 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.
From Lab to Production. From Algorithm to Impact.
Partnering with leading researchers across the US and China to transform frontier AI into enterprise-grade, deployable solutions.
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 decisions (Ph.D., Wharton, UPenn). Expert in high-dimensional analysis, he cuts through data noise to translate complex industrial and business tasks into precise quantitative models—arming leadership with sharp financial insight and strategic support.
Five Key Scenarios Deep Implementation
Covering manufacturing, healthcare, tobacco, steel and other key industries, driving real business value through production data intelligence
Manufacturing Process Analysis
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
Multi-line scheduling model optimization that intelligently balances throughput, equipment utilization, and resource allocation across parallel production lines, significantly reducing operational waste while maintaining output quality.
Predictive Maintenance
Five specialized models covering vibration spectrum analysis, current/voltage deep pattern recognition, and fault diagnosis. Multi-sensor fusion with embedded AI for real-time anomaly detection, significantly reducing unplanned downtime.
Energy Management
Electric furnace energy prediction with radar chart visualization, diagnostic warning, and variance analysis. Three-dimensional joint optimization spanning ingredients, process, and outcomes, helping steel producers save energy and cut carbon.
Strategic Partners & Validated Clients
Deep collaboration with industry-leading enterprises, jointly advancing AI deployment
Global Strategic Partners
Global Client Validation