nCompass Technologies
Identifying performance bottlenecks and strategizing ways to solve them takes 4-8x longer than actually writing the code to fix them. We're building an agent that is an expert at analyzing the performance GPU systems like inference engines at all levels of the stack - from CPU-GPU interactions down to GPU kernels. Pairing our agent with Cursor / Claude Code allows you to automate both the reasoning and code implementation steps of performance optimization. What used to take weeks can now be done
Y Combinator
yc-company-directory #5612Identifying performance bottlenecks and strategizing ways to solve them takes 4-8x longer than actually writing the code to fix them. We're building an agent that is an expert at analyzing the performance GPU systems like inference engines at all levels of the stack - from CPU-GPU interactions down to GPU kernels. Pairing our agent with Cursor / Claude Code allows you to automate both the reasoning and code implementation steps of performance optimization. What used to take weeks can now be done
sourcenCompass Technologies is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to nCompass Technologies
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Foaster
match 78Foaster is building the AI-native McKinsey, starting with AI transformation. We deploy AI agents that interview a company's employees at scale, map how work actually gets done, identify bottlenecks and AI opportunities, and draft a transformation roadmap in just 2 weeks. Expert consultants review the final outputs, add judgment where it matters, and feed their corrections back into the system. We believe current AI models already have the capabilities required to automate most of the work consul
shared product terms: actually, done, identify, bottleneck; shared product theme: workflow automation, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
RunLocal AI
match 75RunLocal’s AI agent is specialized in inference optimization and hardware acceleration for platforms like Nvidia Orin/Thor and Qualcomm. Under the hood, our agentic environment facilitates reliable hardware-in-the-loop experimentation and continuous learning. It tracks every experiment and continuously refines experimentation data into an understanding of what drives performance on your target hardware. This environment means that a generic coding agent (e.g. Codex or Claude Code) can experiment
shared extracted concept terms: inference; shared product terms: performance, code, like, inference; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Lab0
match 64Enterprise software implementation is broken, and it has been for decades. Every rollout, whether it's a traditional ERP or a new AI system, requires months of manual integration, configuration, and tuning done by armies of system integrators and forward-deployed engineers. Lab0 builds agentic systems that automate this layer, compressing months-long implementations into weeks.
shared extracted concept terms: system; shared product terms: implementation, system, done, automate; shared product theme: workflow automation, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Inth
match 64Inth helps fast-moving software teams prevent privacy failures before they reach production. Privacy risk no longer lives in policy docs, dashboards, and questionnaires. It lives in code: consent flows, data deletion, vendors, logs, AI systems, and agent-written changes that move user data every day. Inth starts with c15t, an open-source consent and privacy SDK with 3M+ npm downloads, used by teams like Zed, Infisical, and Expo. From there, Inth expands into code-native workflows for consent man
shared extracted concept terms: system; shared product terms: longer, code, system, used; shared product theme: workflow automation, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Wafer
match 58Wafer builds AI agents that work as autonomous performance engineers, optimizing GPU kernels for AI inference. Our product is serverless and dedicated inference for the world’s fastest open source LLMs, achieved by Wafer's autonomous performance engineers.
shared extracted concepts: gpu kernels; shared product terms: performance, gpu, inference, kernel; same category: AI agents; shared affiliation: Y Combinator
Greenthread
match 24The GreenThread inference engine allows you to multiplex many LLM's and SLM's on the same GPU, swapping them subsecond.
shared product terms: inference, engine, gpu