The Cognitive Operating System for Physical Assets
TensorSurf is the first cognitive operating system for physical infrastructure. We transform chaotic sensor data from manufacturing, robotics, and autonomous systems into actionable intelligence that prevents failures before they happen.
Sensing Layer
Multi-modal sensor fusion
Built for Critical Industries
TensorSurf is designed to address the most challenging problems in manufacturing, autonomous vehicles, and industrial robotics—delivering measurable value from day one.
Unplanned downtime costs manufacturers $50 billion annually
TensorSurf reduces downtime by 40% through predictive failure detection
TensorSurf's cognitive OS can monitor automotive production lines, detecting bearing failures in critical robots hours before catastrophic failure, preventing millions in lost production.
Expected Benefits:
- Prevent $2M+ in lost production per incident
- Reduce maintenance costs by 35%
- Improve overall equipment effectiveness (OEE) by 15%
Ask Questions, Get Instant Answers
No more hunting through dashboards or deciphering complex logs. Ask TensorSurf questions in plain English and get AI-powered insights from your system's knowledge graph in seconds.
See Your Entire System's Health at a Glance
Our interactive knowledge graph shows real-time system health, dependency relationships, and failure propagation paths. Click any component to understand its role, current status, and impact on the broader system.
Instant visibility into component health and performance metrics
Understand how failures cascade through interconnected systems
Automatically trace problems back to their source in seconds
Get warnings hours before failures occur, not after
System Health Monitor
Four Core Capabilities That Transform Operations
TensorSurf's cognitive architecture delivers unprecedented visibility and control over complex physical systems through four breakthrough capabilities.
Why TensorSurf Wins
While others offer monitoring tools, TensorSurf delivers the first true cognitive operating system for physical infrastructure—a fundamental architectural advantage.
Why TensorSurf Wins
First true cognitive OS for physical infrastructure, not just monitoring tools
Key Differentiator: Reasoning layer that understands context and relationships
Sub-100ms processing enables immediate response to critical failures
Key Differentiator: Prevents failures before they cascade through systems
Unified understanding across all sensor types and data modalities
Key Differentiator: Competitors focus on single data types or require manual integration
Ask complex questions about your systems in plain English
Key Differentiator: No training required - engineers can query systems like talking to an expert
TensorSurf vs. Traditional Solutions
| Capability | TensorSurf | Traditional Solutions |
|---|---|---|
| Real-time Processing | Sub-100ms latency | 5-30 second delays |
| Natural Language Queries | Full conversational AI | Dashboard-only interfaces |
| Dependency Mapping | Automatic graph generation | Manual configuration required |
| Multi-modal Integration | Video, sensors, IoT unified | Single data type focus |
| Deployment Time | Hours to days | Months to years |
Process Millions of Data Points in Real-Time
Our proprietary processing engine handles massive sensor data streams with sub-100ms latency, enabling immediate response to critical system events.
Real-time Sensor Feed
The Brain Behind Physical Intelligence
Our breakthrough knowledge graph technology automatically discovers relationships across all sensor types, creating a unified understanding of your physical systems that enables predictive insights and autonomous decision-making.
Automatic Relationship Discovery
AI algorithms automatically identify hidden connections between sensors, systems, and events—no manual configuration required.
Multi-dimensional Correlation
Correlate data across time, space, and system boundaries to understand complex failure modes and operational patterns.
Predictive Pattern Recognition
Identify subtle patterns that predict future failures hours or days before they occur, enabling proactive maintenance.
Built by Industry Veterans
Our team combines deep expertise from NVIDIA with academic excellence from top universities, bringing together 10+ years of combined experience across industry, academia, and startups.
Multi-Domain Expertise
Ex-NVIDIA engineers with deep expertise in GPU computing, AI acceleration, and real-time systems
Key Areas:
Research backgrounds in autonomous systems, knowledge graphs, and distributed computing
Key Areas:
Experience building scalable platforms and bringing cutting-edge technology to market
Key Areas:
Our Vision
We're building the cognitive operating system that will power the next generation of autonomous physical infrastructure. Our team combines deep technical expertise with real-world experience to create solutions that transform how complex systems understand and respond to their environment.
Ready to Transform Your Physical Infrastructure?
Join our waitlist to be among the first to experience the power of cognitive OS technology. We're building the future of autonomous systems, and we want you to be part of it.