Investors & partners

Evidence before scale.

Baoqi Smart develops predictive decision intelligence for affordable, heterogeneous autonomous defense systems.

Product scope and evidence navigation. These figures are not revenue, customer or field-performance KPIs.

Inspect the evidence

Review the software.

Eight public scenarios explore one coordination architecture.

Two-minute product walkthroughEnglish narration. Research simulation; the initial physical integration target is three aircraft.
SHEEPDOG benchmark matrix: fleet-size scan on a fixed seed with feasibility gate.
Benchmark matrixFixed-seed fleet-size scan. Unrun sweeps remain unknown. Simulation evidence, not a field success rate.
SHEEPDOG deterministic ledger of system and auction events.
Decision ledgerReplayable system and role-assignment events, recorded against mission time.

The entry point

Start with three.

One operator. Three affordable aircraft. A bounded path from software to hardware.

Coordinate different capabilities while accounting for mission value, cost, risk and replacement.

  1. Observe
  2. Allocate
  3. Reassign
  4. Review

Coordination is the product.

  • Heterogeneous assets, shared mission roles
  • Cost-aware allocation and reassignment
  • Replayable decisions and human authority

Commercial direction: partner qualification and bounded integration pilots.

Inspect the decision workflow

STAGE 01

Capability PassportNormalizes what each available asset can currently do.

STAGE 02

Mission UtilityScores capability, time, cost, risk, health, endurance and link state.

STAGE 03

Role AssignmentForms mission teams from heterogeneous assets.

STAGE 04

Dynamic Re-planReallocates work after vehicle or communications failure.

STAGE 05

Evidence ReplayPreserves why decisions were made and allows deterministic review.

Proposed 90-day POC

Prove the next step.

Agree the platform, scope and acceptance criteria with an integration partner before starting.

AVAILABLE TO REVIEW

Software evidence

  • Public simulator and fixed-seed replay
  • Heterogeneous fleet modeling
  • Failure injection and role reassignment
  • Benchmark and decision-event records
NEXT VALIDATION WORK

Three-aircraft integration

  • Autopilot and edge-runtime integration
  • Software- and hardware-in-the-loop checks
  • Bounded physical-vehicle validation
  • Documented review against agreed criteria

The POC is a proposed engagement, not a completed trial or guaranteed delivery. No physical flight or field-performance result is claimed here.

Current scope and planned engineering work

WORKING TODAY

  • Deterministic simulator, public, no login
  • Fixed-seed repeatability
  • Heterogeneous fleet modeling, UAV and UGV
  • Mission-role assignment via an explicit auction protocol
  • Failure injection and N-1 replanning
  • Replayable decision evidence
  • Benchmark harness with fleet-size scan
  • Deployed on Google Cloud Run

Valuation, terms and cap table are discussed directly.

Execution & team

Built on shipped software.

CHATPRESS · IN OPERATION

AI workflows

Customer operations with explicit human approval and a shared production core.

TWINS · IN PILOT

Operational memory

Structured interviews, retrieval and personal digital-twin workflows.

FOUNDER & CEO

Wenteng Chang

Founder-led R&D, product architecture and partner development.

Previous deployments and founder background

CHATPRESS · IN OPERATION

Multi-tenant AI-native operating layer: shared core, workflow engine, explicit human-approval gate, Customer 360 record, live customer-facing use.

TWINS · IN PILOT

Personal digital-twin system built on behavioural interview data, structured positions, memory retrieval and style adaptation.

DEPLOYMENTS

Ninja Taiwan Academy and YizongTW run on the shared production core as real operating businesses.

Baoqi Smart Technology is a lean, founder-led R&D company with a sole founder. Wenteng leads product definition, system architecture, prototyping, validation design, commercialization and partner development. Background spans semiconductor, networking and product management, computer-vision products, and founding and operating a physical training academy. We are actively recruiting a robotics / autonomy technical cofounder.

Validation boundary

Claims you can inspect.

Current evidence is software simulation. Physical integration, certification and field deployment remain separate validation steps.

Engineering scope and validation boundaries
  • SHEEPDOG has no combat history and no field deployment.
  • There is no regulatory or defence certification.
  • SIL, HIL and physical vehicle integration are not built yet.
  • SKY MECH has a supplier-reviewable P0 CAD and fabrication package, but has not been fabricated, flown, or validated. SKY MESH multi-node operations remain a modeled concept.
  • LLMs are not used as an unconstrained real-time flight-control loop; the digital-twin core is advisory only, with no motor or actuator command path.