Companies · Hardware / Semiconductors
San Francisco · CA, USA · Hardware / Semiconductors · refined from filed group “Other Technology” · founded 2018 · http://www.rain-neuromorphics.com
Diligence memoA one-page analyst read on Rain Neuromorphics Inc. — recommendation, valuation, rhythm, risks.→Rain Neuromorphics Inc. has raised $31M over 1 round; too few niche peers to rank its valuation yet.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the hardware/semi sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
No named principal in this company's public records yet — see all operators below.
Explore how these operators interlock with other companies in the operator network.
Rain Neuromorphics Inc. is one of 130 Hardware / Semiconductors companies tracked from San Francisco, CA, USA, on record since 2018. By capital raised it ranks in the upper tier (ahead of 87% of sector peers), and among the largest 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”
We build artificial intelligence processors inspired by the brain.
At Rain Neuromorphics, we envision a future where every device possesses a dynamic and continuously learning AI brain. Neural Networks are the most powerful engines behind today's AI, but simulations require massive amounts of power and time to learn all of the synaptic connections. As opposed to a simulation, our neuromorphic hardware is a physical artificial neural network, composed of spiking neurons and physical synapses. We combine unique electroceramic materials, nanofabrication techniques, and biologically plausible models of learning to create the Memristive Nanowire Neural Network (MN3), a new type of AI chip. The MN3 can possess over ten million spiking neurons per square centimeter, and uses far less power than conventional GPUs and CPUs.
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.
The line shows cumulative reported funding over the period; + labels show new capital added between points when there is room. Toggle on-bar figures, plus the niche-peer and market averages, to read this company against its cohort. Benchmarks are modeled medians.
Stages are modeled from round size (public records carry no series label). No record for: Pre-Seed, Seed, Series A — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 25%.
Round size and date are reported; the stage label is inferred from round size (latest is Series B — a $15M–$40M round). Valuation is modeled from stage benchmarks scaled by the hardware/semi sector profile. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 130 companies in Hardware / Semiconductors. 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 87% of sector peers (real $). Modeled value above 92% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Series B) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful.
Not enough valued peers in this cohort to chart positioning.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Rain Neuromorphics Inc. this company | Series B | $31.1M | $368.0M | 1.07× |
| Reed Semiconductor Corp | Series B | $48.0M | $320.0M | 0.93× |
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. |
|---|---|---|---|---|---|
| Series B | $31.1M | 2022-01-10 | $172.8M | $368.0M | 90% |
Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.
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.
Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.
| Person | Role | Also runs | Tied since |
|---|---|---|---|
| Gordon Hirsch Wilson | — | — | 2022-01 |
| Jack David Kendall | — | — | 2022-01 |
| Jackson Claudio Hu | — | — | 2022-01 |
| Juan Claudio Nino | — | — | 2022-01 |
Rain Neuromorphics Inc. 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 |
|---|---|---|---|---|---|
| Finwave Semiconductor, Inc. | Hardware / Semiconductors | Series B | $26.7M | $41.1M | same sector · same stage |
| AKHAN Semiconductor, Inc. | Hardware / Semiconductors | Series B | $26.0M | $207.6M | same sector · same stage |
| Triad Semiconductor Inc | Hardware / Semiconductors | Series B | $38.8M | $297.2M | same sector · same stage |
| Silicon Valley Jets Fractional Mid-Size Disruptor LP | Hardware / Semiconductors | Series B | $39.0M | $600.2M | same sector · same stage |
| Reed Semiconductor Corp | Hardware / Semiconductors | Series B | $48.0M | $320.0M | same sector · same stage |
| Navitas Semiconductor, Inc. | Hardware / Semiconductors | Series B | $49.6M | $124.4M | same sector · same stage |
| Amber Semiconductor, Inc. | Hardware / Semiconductors | Series A | $31.1M | $24.8M | same sector |
| FreshAir Sensor LLC | Hardware / Semiconductors | Series A | $34.1M | $14.9M | 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 |
|---|---|---|---|---|
| deepsilicon Software and hardware to run neural networks faster and cheaper | — | — | — | 77% |
| Gaingels Rain Neuromorphics 2021 LLC | Other | Pre-Seed | $4.4M | 75% |
| Gaingels Rain Neuromorphics 2023 LLC | Other | Seed | $12.7M | 75% |
| Neuromation OU | Other Technology | Pre-Seed | $21.3M | 74% |
| matforge AI scientists to discover materials for the semiconductor industry. | Crypto / Web3 | — | — | 74% |
| Well Principled The neural engine for autonomous robots | Robotics | — | — | 74% |
| Neural Dynamics Technologies Inc. | AI / ML | Pre-Seed | $3.6M | 74% |
| Neural Propulsion Systems, Inc. | AI / ML | Series A | $54.2M | 74% |
See where Rain Neuromorphics Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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