//PARTNERSHIP · InAI Capital

Build AI.
Fund AI.
Decode AI.

We invest in frontier hardware and robotics out of Silicon Valley, publish the industrial research global banks read, and run a quantitative engine that rebuilds every trading day.

Silicon Valley · since 2026 Venture · research · quant A-share + US technology Quant data as-of —
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15 slides, 4 live demos. Use or scroll.

//FOUNDER

Built the systems before backing them.

Yumei Dou — a decade inside the AI industry before moving to the other side of the table. Co-founder of early AI unicorns; deep-learning systems in production well before the LLM era.

01 · OPERATOR

AI unicorn co-founder

Algorithms, product, growth — shipped, not modelled.

02 · INVESTOR

Investing since 2019

AI, semiconductors, robotics; energy and space frontier.

03 · ADVISOR

Institutional advisor

Global investment banks and top-tier VC and PE firms.

THE CONVICTION UNDER ALL FOUR LINES

AI is rewriting the cost curve of every industry it touches — and the people best placed to see it are the ones who have actually shipped the systems.

Full biography →

SELECTED ADVISORY ENGAGEMENTS

Goldman Sachs UBS HSBC Standard Chartered SoftBank GLG Guidepoint

//WHAT WE DO

Four lines. One thesis.

AI is rewriting the cost curve of every industry it touches. Each line reads that from a different distance — and serves a different counterparty.

A

VENTURE

Frontier
equity

Seed to growth in AI silicon, robotics and frontier labs.

serves Startups & labs

B

RESEARCH

Industrial
deep research

Architecture, supply chain, and the Bit‑Watt framework.

serves Banks & institutions

C

QUANT DATA

Daily
signal engine

5,203 A-share names plus US technology, rebuilt every close.

serves Investors

D

ENTERPRISE

Licensing &
white-label

The whole engine, running inside your infrastructure.

serves Funds & brokerages

//WHY IT COMPOUNDS

Each line pays for the next one's edge.

Every line produces an input the next one cannot buy on the open market.

The operating loop
what moves between the four lines
Read clockwise.
A · VENTURE Frontier equity Seed to growth, Silicon Valley B · RESEARCH Deep research Architecture and supply chain C · QUANT DATA Daily signal engine Rebuilt after every close D · ENTERPRISE Licensing & white-label Your infrastructure, our engine first-hand roadmaps daily evidence framework & taxonomy network & deal flow

The dependency is real, not rhetorical. The taxonomy the quant engine aggregates by is built by the research line; research claims are checked against the engine's daily series; and the enterprise licence puts both in front of the institutions whose deal flow the venture line sees.

//LINE A · VENTURE

We invest where the coupling points form.

A coupling point is a company that uses a signal to control power — where the compute stack meets the physical world.

FOCUS 01

AI silicon & interconnect

Accelerators, optics, memory, packaging.

FOCUS 02

AI software infrastructure

Where an architecture choice becomes a unit cost.

FOCUS 03

Robotics & embodied AI

Actuation, transmission, motor control, perception.

FOCUS 04

Frontier AI labs

Research running ahead of the product cycle.

WHAT WE BRING TO A CAP TABLE

  • An operator's read. Our founder built and shipped these systems.
  • Published coverage. Founders inherit an analyst who has done the reading.
  • Institutional reach. Standing bank and VC/PE relationships.
Seed → growth Silicon Valley led

//LINE B · RESEARCH

Research that banks read.

One technology at a time, worked down to the physics, the bill of materials, and the companies that capture the margin.

STREAM 01

AI & hardware deep dives

Model architecture read against the silicon it runs on — and what that does to unit inference cost.

STREAM 02

Industry & supply chain

Who supplies whom, where the single points of failure sit, which listed names carry the exposure.

STREAM 03

The Bit‑Watt wiki & atlas

A standing framework, not a one-off report — refreshed on the same daily cadence as the engine.

15

published deep dives

66

companies named in the atlas

15

sector verticals with valuation ceilings

219

names on the daily attention list

//LINE B · DEMO

What a deep dive actually looks like.

Research #15, on DeepSeek V4. Switch the GPU and watch where the workload lands.

Roofline: where MHA and MLA sit on the same hardware
Research #15 · vendor spec sheets · log–log
Diagonal is the bandwidth limit, plateau the peak-FLOPS limit — the two dots hold still while the roof moves.
Hardware

MHA achievable TFLOPS, batch 1

MLA achievable TFLOPS, batch 1

ridge point, FLOPs per byte

Only the roof moves. Operational intensity is an architecture constant — 1.2 FLOPs/byte for MHA, 55 for MLA — which on H100 is enough to lift batch-1 decoding off the bandwidth slope. Full derivation in Research #15.

//LINE C · QUANT DATA

A daily engine, not a monthly opinion.

Every number computed from raw market data inside our own pipeline. The universe is rebuilt after each close — running since December 2024.

5,203

A-share names rebuilt daily

170

dimensions per stock

298

dimensions project-wide

219

names on the attention list

36

US technology names tracked

THREE FACTOR FRAMEWORKS

  • Energy dynamics. Half-life decay over accumulated momentum.
  • Spring kinetics. Energy stored in consolidation, release calibrated per stock.
  • W-phase detection. Five-phase waveform classification with per-phase statistics.

THE DAILY PIPELINE

15:30Close triggers ingestion — OHLCV, margin, institutional flow.
16:00Per-stock profile rebuilt, factors scored.
17:00Sector matrices, macro heat map, crash-watch gates.
17:30Delivery — API, dashboards, alert push.

//LINE C · DEMO 1

170 dimensions in. One factor call out.

Dimensions are raw material; factors are how they become a decision. Two factor series below, drawn on three names — the same construction runs on all 5,203.

Factor output — energy and price position, last 30 sessions
A-share daily pipeline · as-of —
E(t), accumulated momentum after half-life decay — zero is the boundary. r60, price over its 60-day mean — 1.00 is the second. Together they resolve to one of four phases.

Two factors out of a 170-dimension profile. Each card shows the same pair computed the same way; only the phase they resolve to differs. The chip is the position rule the engine currently applies. Backtested returns are deliberately not shown — a backtest is not a deliverable, and it is not what a subscriber receives.

//LINE C · DEMO 2

Where the money actually goes.

Turnover aggregated into our own sector taxonomy, ranked daily. Two and a half years of Chinese technology capital rotating — press play.

Sector turnover race — attention set, top 30 by day
daily turnover, CNY 100M · —
Bar length is turnover on an absolute scale. Colour is fixed per sector; the top ten are drawn at full strength, ranks 11–30 dimmed.
Attention-set turnover · of the whole market Names trading of 5,203 Sectors tracked

The taxonomy is the product. These are not exchange classifications — they are built around supply-chain position, which is why PCB for AI server backplanes is separate from generic electronics. The candidate pool is wider than the thirty display slots, so a sector that spikes can enter the board that day rather than being locked out by its full-period rank.

//LINE D · ENTERPRISE

The whole engine, under your brand.

Complete enough to be somebody else's product. Institutions take it in one of three shapes.

MODEL 01 · MOST FLEXIBLE

Custom API

Dedicated endpoints shaped to your consumption pattern.

REST · WebSocket · SFTP · S3 · backfill · uptime SLA

MODEL 02

Technology licensing

Factor models and pipeline running inside your infrastructure.

On-premise or private cloud · source-available factors

MODEL 03

White-label

Our dashboards and reports carrying your brand and domain.

Full UI rebrand · generated reports · sub-licensing

WHAT IS IN THE BOX

Sentiment. News and disclosure flow scored against the taxonomy.

Valuation. Sector PE ceilings, target-price room, Davis double-play space.

Dimensions. 170 per stock, 298 project-wide.

Delivery. API, dashboards, generated reports, message stream.

//LINE D · DEMO

Same engine. Same numbers. Your brand.

Pick a brand. Every figure below stays identical — the engine is what is licensed, the surface is what is yours.

White-label surface
illustrative brands, not clients
Mark, accent colour and domain are configuration. The universe and the factor values are not.
I
InAI Capital
Daily technology signal desk
quant.inaicapital.com
5,203NAMES REBUILT TODAY
219ATTENTION LIST
170DIMENSIONS PER STOCK
17:30DELIVERY COMPLETE
SECTORPHASETURNOVERSHARE
AI Compute InfrastructureAdvancing195
Optical Modules & InterconnectAccumulating85
Humanoid Robotics · OptimusBasing55

Only the chrome is configuration. Rebranding changes the mark, the colour, the product name and the domain; it does not touch the universe, the dimensions or the pipeline schedule. Sub-licensing rights let you resell the surface downstream.

//THE SPINE

Bit → Watt → Execution.

One framework under all four lines. The test is narrow on purpose: does this company use a signal to control power? Here is what it produces.

Process node vs track tier — semiconductor atlas
Bit‑Watt atlas · —
Bubble area is market cap, ring weight is valuation premium, a dashed ring means currently loss-making.
Signal chain Power chain Actuation chain Bubble area ∝ market cap

Why the narrow test matters. It excludes much of what a looser “AI beneficiary” screen sweeps in, and produces a list you can argue with company by company. Coordinates are maintained by hand — process node and track tier have no field in the quant system — while size, ring weight and line style run off the daily data. Full stage-by-stage exposure table in the semiconductor coupling-point atlas.

//PARTNERSHIP MODELS

How we work together.

Five counterparties, five first steps. If yours is not a row, say so — those are usually the good conversations.

Counterparty map
who you are · where to start
IF YOU ARE THE LINE FIRST STEP
A startup or research lab A · Venture Send the deck and where you sit on the Bit‑Watt chain. We read before we meet.
An investment bank or research desk B · Research Name the technology you need covered. We scope a commissioned deep dive.
An asset manager or family office C · Quant Start on the subscription, then tell us which dimensions you actually use.
A brokerage, data vendor or platform D · Enterprise Tell us the universe, the fields, and whose brand it ships under.
Media, a conference or an academic group B · Research Send the date, the audience and the question.

//NEXT STEP

Tell us which line you need.

One address reaches all four.

CONTACT

[email protected]

Partnership, licensing, research and investment enquiries.

Entity

InAI Capital Advisor LLC
Silicon Valley, California

PUT THIS IN THE FIRST EMAIL

  • Which of the four lines.
  • The universe or technology you care about.
  • Research, data, a licence, or capital.
  • Your timeline, if you have one.

English and Chinese, across US and China market hours.

Scope. InAI Capital Advisor LLC publishes research and quantitative data for information and education. It does not solicit funds, manage client capital, or provide investment advice, and nothing here is an offer to buy or sell any security. Direct investment activity sits with InAI Capital and is separate from the research and data business. Quantitative figures are a snapshot and change daily.