Companies · AI / ML
New York · NY, USA; Remote · AI / ML · founded 2024 · https://www.ncompass.tech
Diligence memoA one-page analyst read on nCompass Technologies — recommendation, valuation, rhythm, risks.→nCompass Technologies: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
nCompass Technologies is one of 2067 AI / ML companies tracked from New York, NY, USA; Remote, on record since 2024. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
Optimize performance on GPUs - 10x faster
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 in days. Along with our AI agent, we have features such as running diffs on system traces as well as sharing and collaboration features that make our VSCode extension the most powerful way to work on performance optimization.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 2067 companies in AI / ML. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 62% of sector peers (real $). Modeled value above 62% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
nCompass Technologies is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Agentic Labs | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| SF Tensor Infrastructure for AI labs to focus on research. | AI / ML | — | — | 82% |
| Luminal Making AI run fast on any hardware. | AI / ML | — | — | 79% |
| Zibra Labs Distributed runtime for AI workloads at scale | AI / ML | — | — | 79% |
| RunLocal AI The first AI agent for optimizing ML model inference on edge hardware | Robotics | — | — | 79% |
| Cedana Fast, reliable, reproducible AI with GPU live migration | AI / ML | — | — | 78% |
| Piris Labs Inference at Light Speed | AI / ML | — | — | 78% |
| Wafer AI that makes AI fast | AI / ML | — | — | 77% |
| TensorPool Vercel For GPUs | AI / ML | — | — | 77% |
See where nCompass Technologies sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
If you work at nCompass Technologies, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.
Is this your company? Update your profile or add contact details — and choose exactly who can reach you. Reviewed before anything is published.