The AI-nativeGrowth Infrastructurefor leading consumer brands
00From drones to bubble tea: the consumer brands going global, by vertical.See how they run it →
“First system that puts VOC and paid data on one evidence table.”
Head of Overseas Marketing · Tineco
The same signal, 13–20 days earlier
Real client backtest · decision signals
Growth team lead · SHEIN
URUrban Revivo
OVOutdoor Voices
OOn
¥9.74BRevenue, +75% YoY · FY2025
40%Africa smartphone share, #1 (IDC) · 2025
100+Overseas stores in 32 cities · end-2025
59,800+Stores in 13 countries · end-2025
7,338Teahouses, 262 overseas · Q3 2025
CChipotleWWingstop
RMB 29.6bnRevenue · FY2025
RMB 1.37bnRecord profit · FY2025
72Countries sold in
5.8MCleaning robots shipped, #1 (IDC) · 2025
56M+Devices activated · end-2025
#1US air purifier brand, 33% share · 2024
#1Air fryer in Spain & Norway · 2024
180+Countries, 300M+ users
120+Countries, 3.5M+ users
EEcoFlow
1.2MVehicles sold, +29.6% · FY2025
500,000+Riders worldwide
37%Of entry-level 3D printer shipments, #1 · 2025
4.4MPrinters sold, 27.9% share · 2020–24
200+Countries, 4.4M+ printers · 2025
70+Countries sold in
160+Countries, 4M+ users
8,485Stores, 3,583 overseas · end-2025
#1Women's intimates in China, omnichannel · 2020–24
15,000+Five-star reviews
60M+Creators, 600M+ videos · Dec 2025
Tripo6.5M+Creators, ~100M 3D models · 2026
CapCut“The new-angle proposal cited our own measured ER — first rec that came with its evidence.”
Head of Content Marketing · CapCut
CapCut01One engine · five intelligence layers
Thousands of signals in.
One decision out.
Every order, ad, creator post, review and competitor move lands on one timeline. Each morning the engine finds the signal that matters, proves why, turns it into an action with its acceptance test, and grades the result.
01 · AggregateDay 0
One canonical timeline
Every source on one timeline, history backfilled the day you connect.
- Sources
- 6
- History
- 13 months
- Comments labeled
- 12,400
- Aligned by
- day × SKU
What changed.What to do next.
02Five layers · real output
Not a dashboard.
Timeline, signals, evidence, proposal, result.
The engine writes all five every morning, and every number in them clicks through to the row it came from. Below is a frozen snapshot from a demo brand, not a mock.
01Aggregate
One canonical timeline
Six kinds of sources, one timeline, full history backfilled.
Triple Whale
Klaviyo
Braze02Detect
Signal feed
Today's signals ranked by severity, each with its detection method.
03Evidence
Investigation canvas
Internal, external and combined attribution; every number carries an evidence ID.
04Act
Proposal · measurement contract
Metric, baseline, window and confound guards, fixed before anything is confirmed.
05Optimize
Outcome ledger
Hits and misses recorded alike; the next proposal cites your own measurement.
03Day 0 · the day you connect
What you see on Day-0
The audit is computed deterministically from your history, not written by a model. Day one is never an empty dashboard.
Creator content CPM spreads 4.8×
concentrating spend is the first-priority action.
Watch it run in case study chapter 2Meta creative CPM spreads 3.4× on near-even budget
reallocating on measured CPM models a 33% drop in weighted CPM.
Watch it run in case study chapter 104Ask the engine
What's happening today? What should we run tomorrow?
Multi-turn agent investigation · every number in the report carries an evidence ID you can click through to the source row
The four questions we get asked most
How long does onboarding take? What do we prepare?
Same-day.
See onboarding & security
How is this different from building in-house?
In-house reality: every business line runs its own analysis, IT scopes a data-governance project, execution collects context in meetings — every link costs time.
See the 16-week comparison
Could the signals be hallucinated by a model?
How is it priced / how do we start?
Free deployment and a Day-0 audit.
See pricing
05Comparison
One engine, instead of
a patchwork of departments
Building it yourself means analysts per business line, a data-platform project, and meetings to decide. Every step costs money and leaks time.
| Panoverse Intelligence Engine | In-house data team | |
|---|---|---|
| Data integration | Day 0, one schema | Platform project, quarters |
| Overseas market data | Collection + labeling built in | No source to buy |
| Detection & investigation | Daily sweep + evidence chains | Everyone's own dashboard |
| Insight to execution | Proposals go straight to the ops team | Decided in meetings, in weeks |
| Result verification | Auto-graded when the window closes | Whoever executed, reports |
| Cost shape | Token cost + 20% service fee | Headcount + project budget |
06Onboarding & security
Three steps to onboard.
Your data stays protected the whole way.
Your data is your most sensitive asset. The security here rests on architecture, not on promises.
Read-only OAuth
Official consent screens, about ten minutes, read-only scopes.
History backfilled same day
Every available year lands in the schema; detectors sweep at once.
Day-0 audit + first actions
The audit and the first contracted proposals, the same day.
Four hard constraints, written into the architecture
Read-only; revoking deletes the corresponding data.
Every brand gets its own data space and tokens.
Encrypted in transit and at rest; no personal sensitive data.
Never sold, shared, or used across brands.
Case study · 16 weeks