nCompass Technologies
Building an AI-powered coding assistant that unifies profiling and trace analysis within the IDE to simplify high-performance hardware programming.
At a Glance
- AI Infrastructure Engineers
- Performance Engineers
- MLOps Teams
AI Tools by nCompass Technologies
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nCompass
AI Coding Assistant for Performance
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Latest News
vLLM project highlights nCompass for AI profiling and optimization.
nCompass IDE v0.0.9 Released: Python 3.10+ Support & GPU Trace Viewer.
Launched TraceDiff for side-by-side AI model performance comparison.
Integration with Modal for AI performance optimization.
Products & Services
A unified interface for profiling, trace viewing, and analysis integrated within the IDE (VSCode, Cursor).
An AI assistant that suggests optimizations based on runtime profiling data and can run profilers and analyze traces.
A tool within the Trace Analysis Suite for side-by-side comparison of performance traces.
Includes Trace Viewer, Kernel Analyzer, and Bottleneck Finder for deep performance inspection.
Market Position
Unifies disparate hardware profiling tools into a single AI-assisted developer experience.
Leadership
Founders
Aditya Rajagopal
PhD graduate from Imperial College London (Electronic and Information Engineering). Specialized in machine learning algorithms, compilers, and hardware architectures. Awarded the Governors MEng Prize.
Diederik Vink
PhD graduate from Imperial College London (Electrical and Electronics Engineering). Specialized in reconfigurable hardware architectures for machine learning (FPGA, CNN, hardware acceleration).
Executive Team
Aditya Rajagopal
Co-Founder & Co-CEO
Expert in ML algorithms, compilers, and hardware architectures; PhD from Imperial College London.
Diederik Vink
Co-Founder
Expert in reconfigurable hardware architectures and AI acceleration; PhD from Imperial College London.
Founding Story
Founded by PhD graduates from Imperial College London who identified the difficulty in programming and optimizing for heterogeneous hardware systems like GPUs and FPGAs.
Business Model
Revenue Model
SaaS / Subscription-based developer tools
Target Markets
- AI Infrastructure Engineers
- Performance Engineers
- MLOps Teams
- AI model performance optimization
- CPU/GPU synchronization debugging
- Memory leak detection in multi-threaded applications
- Reducing inference latency
- Snowflake
- RedHat
- vLLM Project
- LMU München