휴머노이드
Traccia — vendor-neutral AI Agent Control Plane
inferred: 로봇 과제 PM — 매주 시험 로그·결함 조치·현장 사진을 정부 과제 증빙 양식에 맞춰 취합
Robotics companies participating in government-funded projects must repeatedly organize test logs, component versions, defect remediation records, and field photos according to project-specific templates. Project managers and QA staff manually collect evidence from GitHub, Jira, Drive, and robot logs, leading to missing documentation and version inconsistencies.
The service connects GitHub, Jira, Drive, and ROS log metadata to automatically build an evidence index and change history for each test item. As projects accumulate, component-level test procedures and evidence relationships become reusable organizational assets, reducing preparation time for subsequent pilots.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |