Fondo · Mar 2026
Third-party launch write-up highlighting nCompass as a GPU performance engineering tool that automates profiling, trace collaboration, and optimization workflows.
Deploy hardware accelerated AI models with only one line of code
Company research
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Overview
nCompass Technologies is a YC W24 startup building an AI-powered performance optimization IDE for GPU and heterogeneous-system engineering. Its software unifies profiling, trace viewing, trace collaboration, and AI-assisted bottleneck analysis so developers can find and fix performance issues inside their editor; public sources show a San Francisco HQ, a small distributed team, and an early-stage company profile, though YC also lists New York City as a location.
Primary product
AI-powered performance optimization IDE for GPU tracing/profiling and trace analysis
Founded
2024
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Research Services
Sub-industry
GPU performance engineering / AI developer tools
Offices
San Francisco, California, United States
New York City, New York, United States
Business model
B2B developer tools
usage-based API
professional services / FDE
open-source SDK
Funding
Stage
Pre-seed
Total raised
$500K
Latest round
Pre-seed · Apr 2024
Latest amount
$500K
Apr 2024 · Y Combinator
People & investors
Investors
Work & culture
Research- and builder-driven culture that emphasizes trust-but-verify analysis, close collaboration with developers, and rapid iteration through docs, community, Discord, and public releases.
Product & market
Pricing
Public pricing for the API/console with time-based compute pricing; demo-led and service-led for FDE/custom performance analysis
Differentiators
- —Unifies profiling, trace viewing, collaboration, and AI analysis in one workflow
- —AI agent reasons over real trace data rather than static code alone
- —TraceDiff and kernel-analysis tools for comparing runs and finding bottlenecks
- —Works inside coding environments like VS Code and Cursor
- —Supports large traces and shares them through a CLI
- —Can propose and verify optimizations against the actual codebase
Technology
Python
Rust
Nix
Shell
Makefile
OpenCode plugin
VS Code
Cursor
Claude Code
GitHub Copilot
Nsight Systems
Nsight Compute
torch.profile
pyspy
Perfetto
TraceDiff
Customers
performance optimization engineers
GPU and systems engineers
machine learning engineers optimizing model latency
teams using VS Code, Cursor, or Claude Code
developers working on heterogeneous hardware systems
Competitors
NVIDIA Nsight Systems
NVIDIA Nsight Compute
Perfetto
py-spy
manual profiling workflows
vLLM/NVIDIA NIM inference optimization workflows
Scale & contact
Estimated revenue
about $330K estimated ARR
Estimated monthly visits
1.4K
Traffic estimate as of Jul 2026
Latest news
LinkedIn · Feb 2026
nCompass announced an AI assistant that can query very large performance traces directly inside VS Code, emphasizing large-trace analysis and bottleneck discovery.
LinkedIn · Jan 2026
nCompass posted about TraceDiff, which compares traces for duration, launches, renames, additions, and removals, and framed it as a key tool for performance debugging.
nCompass Developer Community · Nov 2025
Public release of the first nCompass Performance Optimization IDE / VS Code extension, with remote trace inspection, TorchRecord contexts, and feedback-driven iteration.
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