3Studio
Let engineering teams run design, verification, flow and operations with an agent crew, fully governed and auditable.
// 7DAWN · SINGULARITY DAWN
AI that does real engineering
— and evolves.
A self-evolving industrial engineering engine
From concept design to multiphysics validation to manufacturing — gets smarter the more you use it.
SCROLL
Verification miss-rate ↓70%
Aerospace test-matrix scenario · internal baseline, not a global promise
Full process
Concept design → manufacturing
Multiphysics
Structural / thermal / fluid / EM / electronics / control
Auditable · Reversible · Human-in-the-loop
Industrial R&D is slow and costly ——
costlier still is the design you never got to make.
It is not a missing AI feature, but a missing AI that does real engineering on the floor and can be trusted. A complex design crosses 10+ tools, validation runs for weeks, and rework eats a large share of the schedule.
01Silos
Tool silos
CAD / CAE / EDA / simulation / standards — engineers shuttle data by hand across a dozen windows.
~1/4 of work hours
02Knowledge
Knowledge locked in heads
“Which boundary does this parameter touch” lives only in a senior chief engineer’s head; people leave, knowledge scatters.
Ramp-up takes months
03Hand-off
Broken cross-discipline hand-off
Structural, thermal and EM all couple; cross-discipline impact travels via meetings, and rework stays high.
Rework eats the schedule
04Verify
Verification is mostly manual
Hundreds to thousands of test items per model — configure, run, compare, write reports, one by one.
A round takes weeks
05Explore
No room to explore better designs
All the time goes to running process; the better configurations that would actually win never get tried.
Missed designs, uncounted
06Trust
Black-box AI is unusable
Aerospace / high-end manufacturing — the cost of error is extreme; AI must be auditable, explainable, reversible.
Generic LLMs rarely comply
Why now: models moved from answering to executing, industrial software is going AI-native, and policy is actively pushing industrial agents — the window is opening.
7dawn’s flagship product —— 3Studio.
An aerospace-grade AI engineering workspace for high-end manufacturing teams.
5+
Workspaces
M0→M2
3-tier memory + RL
Full
Auditable · Reversible
6+
Multiphysics disciplines
— 3Studio · Workspace Switcher —
Illustrative dataLIVE · switch like Notion/Figma
Running · Design Session #DS-204
T-01Orbit simulation · 500km SSOpass
T-02Control-law designpass
T-03Parameter sweep · DOErun
T-04Cross-discipline interface checkwait
T-05Generate design package · Draftwait
Metrics
Active agents4 · Orbit / ATC / DOE / Doc
ExplorationMany in parallel · DOE
Design cycleweeks → days
StatusIllustrative run
Industry pack: Commercial Space · multiphysics toolchainOrbitOps = Operate + Commercial Space Pack
One self-evolving agent foundation, across the whole industrial design flow.
Stages run across; multiphysics disciplines run down — every sub-domain has different tools and people, and we unify them on one foundation. That is the structural difference from point tools (Ansys / MATLAB).
Concept
Detailed design
Simulation
DfM
Manufacturing
Structural
Thermal
Fluid
EM
Electronics PCB
Control
Manufacturing is a later phase
Governance built in: tool allow-list · full-chain audit · one-click rollback · tiered approval (human-in-the-loop).
Smarter the more you use it —— a self-evolving industrial engineering engine.
Every human review and every agent run feeds the knowledge engine: M0 instant memory → M1 project memory → M2 organizational memory, plus end-to-end RL, so the agent learns your engineering the more you use it.
Illustrative · smarter over time
The endgame is a “smarter the more you use it” flywheel on the factory floor — more use, thicker engineering data, stronger models. (Capability evolves with deployment.)
M0 · Instant memory
Context and skills captured within a single session.
M1 · Project memory
Experience reused across tasks within one program.
M2 · Org memory
Tacit organizational knowledge structured and transferred across projects.
RL · End-to-end
Rewarded by real engineering outcomes, closing the loop to keep self-iterating.
From the rocket-and-satellite proving ground, replicated across high-end manufacturing.
Prove it first in the hardest, most homologous aerospace domain, then replicate along the capability axis to more industries.
01
Commercial space · launch & satellite
PAIN
Aero / structural / thermal multiphysics is simulation-heavy; iteration is slow and costly.
LAND
Speed up concept-to-validation across the flow with coupled multiphysics.
EXPAND
Prove the template → replicate to more commercial-space customers.
02
eVTOL · low-altitude economy
PAIN
New airframes iterate fast; whole-aircraft simulation demand is high; airworthiness pressure is heavy.
LAND
Rapid configuration iteration plus whole-aircraft multiphysics validation.
EXPAND
A national-strategy tailwind with strong demand.
03
State-machinery manufacturing
PAIN
Heavy equipment / precision manufacturing; a long design-to-make chain.
LAND
Design-for-Manufacturing (DfM) and connected design-to-manufacturing data.
EXPAND
Enter the vast manufacturing base via industrial-software partnerships.
Next to expand
AviationAutomotiveRoboticsSemiconductorEnergy storage
Building the “self-evolving design brain” for China’s high-end manufacturing.
Others build tools; we build an industrial engine that evolves itself. Starting from the rocket-and-satellite proving ground, we connect design → validation → manufacturing into a closed loop.
Gene
A team combining Tsinghua-rooted AI, aerospace engineering, and EDA commercialization backgrounds.
Market
From the proving ground to a trillion-scale industrial design market — deep on the capability axis, wide on the industry axis.
— Talk to the 7dawn team —
Start from the hardest
factory floor.
High-end manufacturing teams are welcome to reach out — we work closely with you on requirements and delivery.
EMAIL
contact@7dawn.aiPHONE
+86 188 1030 8915