nCompass Technologies GTM brain

category

market profile

• text: AI serving teams need to diagnose bottlenecks across CPU, GPU and kernel layers, often using several profiling tools.
• text: nCompass pairs profiling-backed performance analysis with coding agents and provides a VS Code profiling interface.

personas

• title: GPU performance engineer
  pains:

  • Interpreting traces across CPU and GPU takes longer than implementing a fix
  • Kernel optimizations need profiling and benchmarking on the actual workload
• title: AI platform engineering lead
  pains:

  • Growing inference workloads increase pressure on throughput and latency
  • Scarce performance expertise competes with platform delivery work
• title: ML infrastructure engineer
  pains:

  • Profiling information is fragmented between systems and kernel tools
  • Teams need to compare and share performance traces

icp

• text: AI platform teams operating LLM inference, ranking or generative recommendation workloads at scale; employee range is not disclosed.
• text: GPU computing and ML infrastructure teams using Python or CUDA profiling and coding agents.

message pillars

• text: Offer an AI performance engineer to platform teams.
• text: Find and address system-level bottlenecks across CPU and GPU.
• text: Focus on teams running demanding inference workloads.

objections

• objection: We already use Nsight and have performance experts.
  response: nCompass can work with existing profilers and coding agents; compare its diagnosis time against an expert on the same trace.
• objection: Will the recommendations help our specific workload?
  response: Pilot on a representative production benchmark and evaluate throughput, latency and correctness before deployment.

competitors

• name: NVIDIA
  why: Nsight Systems and Nsight Compute are established alternatives for GPU and system profiling, and may also be used alongside nCompass.
• name: AMD
  why: RocProfiler provides GPU profiling for AMD workloads.

influencers

• name: Aditya Rajagopal
  url: https://www.linkedin.com/in/adityarajagopal
  why: Co-founder discussing CPU-GPU profiling and the company's coding-agent integration.

keywords

• GPU performance profiling
• CPU GPU bottleneck
• LLM inference optimization
• GPU kernel optimization
• AI inference throughput
• GPU profiling VS Code
• Nsight trace analysis

voice

• technical
• concise
• engineer focused

signals

• text: A team is scaling LLM serving, ranking or recommendation on GPUs.
• text: Engineers are hiring for or investigating GPU performance, trace analysis and CPU-GPU bottlenecks.

stack

• VS Code
• Claude Code
• OpenCode
• NVIDIA Nsight Systems
• NVIDIA Nsight Compute
• PyTorch profiler
• py-spy

pricing

motion

channels

• Product Hunt
• LinkedIn
• GitHub
• developer community

confidence

Founders

• name: Aditya Rajagopal
  title: Founder
  role: Founder
  bio: I am a recent PhD graduate from Imperial College London with experience in machine learning algorithms, compilers and hardware architectures. I've worked in compiler teams at Qualcomm and Huawei as well as served as a reviewer for ICML. My co-founder and I are building nCompass which is a platform for accelerating and hosting both open-source and custom large AI models. Our focus is on providing rate unlimited and low latency large AI inference with only one line of code.
• name: Diederik Vink
  title: Founder
  role: Founder
  bio: I'm a recent Imperial College London PhD Graduate where I specialized in reconfigurable hardware architectures for accelerated machine learning and reduced precision training algorithms. I have worked as an AI feasibility consultant prototyping and evaluating AI spin-outs. We are building nCompass, a platform for accelerating and hosting both open-source and custom large AI models. Our focus is on providing rate-unlimited and low latency large AI inference with only one line of code.