AI-native engineering · Lighting every star of New Space
Contact Us →3Studio is the AI-native collaboration and execution platform for complex engineering — one product, five workspaces. Let specialists in design, verification, flow, and operations each lead an Agent crew, collaborating under Harness governance, so that tacit organizational knowledge crystallizes into quantifiable engineering intelligence.
Software engineering has Cursor. Hardware and systems engineering still don't have an AI-native platform.
The gap is not a missing AI feature — it's the absence of a trustworthy AI-native engineering execution layer. A single satellite passes through 10+ tools; a validation cycle takes 2-4 weeks; rework consumes 30-40% of the design schedule.
STK / MATLAB / Thermal Desktop / CATIA / DOORS — engineers shuffle data by hand across 10+ windows.
“A 5° solar-array tilt shifts thermal boundaries” — lives only in the lead engineer's head; when they leave, so does the knowledge.
Structural changes ripple to thermal and power, but communication happens in meetings — rework rates stay stubbornly high.
Reviews, changes, BOM, AIT — chased over email and WeChat. No automated flow, no audit trail.
200+ tests per satellite — each configured, executed, compared, and written up by hand. Massive duplicated effort.
Aerospace / aviation / nuclear — failure costs are extreme. You need auditable, explainable, rollback-safe AI.
Switch between them like Notion or Figma — all five share the same Core OS underneath; each surface is shaped to its scenario. Agent crews specialize, humans stay in the loop on review.
Concept design / simulation modeling / parameter exploration / technical documentation. Agents orchestrate STK and MATLAB for parameter sweeps; humans vet the rationale.
Test matrices / simulation-based validation / metric checks / failure attribution. Parses GJB standards to auto-generate matrices — miss rate down 70%.
BOM / change / review / AIT / supply chain / quality trace. Change impact chains propagate automatically, preventing downstream rework.
Telemetry / anomalies / RCA / runbooks / release rollback. Operations staffing goes from 0.5 person per satellite to 1 per 10-20 satellites.
Program oversight + evolution dashboard. Leaders watch autonomous rate, intervention frequency, and first-pass rate trend in real time.
From outside, workspaces; from inside, one product with a coherent experience. Engineering maintains one OS; each industry just swaps the Pack.
In industries where mistakes are expensive, agents can't execute freely. Harness Engine builds whitelisting, tiered approval, full audit, and one-click rollback into the platform from day one — a paradigm, not a feature.
Agents can only call approved tools within approved parameter ranges; cross-org policy ships from one place.
Auto / semi-auto / manual. High-risk actions queue for a human signature; low-risk actions pass through.
Every tool call, every decision, every prompt — hash-chained, archived, and ready for compliance review.
Any step can revert. Design snapshots, simulation seeds, document versions — all time-travelable.
Autonomous rate, intervention frequency, first-pass rate, knowledge coverage — leaders steer by the curves.
Every scenario has a defined input, agent execution, human review, output, and ROI. Phase 1 punches through Design + Verify; Phase 2 extends to Flow + Operate.
Every human review, every agent execution, every failure attribution feeds the knowledge engine. M0 session memory → M1 project memory → M2 organizational memory — after one year, a customer's agent is 10× smarter than a new one.
60% → 95%; the tipping point hit at M6.
From 5/task → 0.4/task. Expert time freed > 80%.
Design → Verify pass rate on the first loop.
Share of tacit organizational knowledge now structured in M2.
One Core OS, many Industry Packs — replicate from aerospace into UAV, heavy equipment, and energy. Layer 1 (¥20-40B core platform) is well-defined; Layer 2 (¥50-120B productized capacity) is the growth surface.
AI reshaping knowledge-intensive engineering labor
Validation / change / delivery / ops at production scale
AI-native engineering collaboration & execution layer
Aerospace / aero-supply / UAV / heavy equipment / energy
Pro + Team + Enterprise + OrbitOps
Cursor built the AI-native platform for software engineering. 3Studio is building it for hardware and systems engineering.