Hectar.ai - Revolutionary AI Platform for Future Urban Planning
| Reference number | |
| Coordinator | Parametric Solutions AB |
| Funding from Vinnova | SEK 2 910 000 |
| Project duration | December 2023 - December 2025 |
| Status | Ongoing |
| Venture | Acceleration of deep tech companies |
| Call | Acceleration of deep tech companies 2023 |
Purpose and goal
** Denna text är maskinöversatt ** Our overall objective is to establish a comprehensive AI platform for urban planning with a user base of 10,000 active users at the completion of the project. The aim is to accelerate the development of our AI application, which is intended for planning the cities of tomorrow. In phase 1 we strive to take our platform from demo in a controlled environment to production environment. We are currently at TRL5 and the primary objective during this stage is to conduct a demonstration launch in an operational environment and thus achieve TRL6 by the end of the stage.
Expected effects and result
** Denna text är maskinöversatt ** After stage 1, the expected impacts and results are: 1) Product launch: Launch of the platform in production environment 2) Automatisk Registrering: Effective signup flow implemented. Objective: 100 Aktiva Användare/Månad. 30 completed user interviews/Month. 3) Systematically collected data on user preferences: Collection of user data on 3D models´ interaction and favorite markings. This for future AI-Träning. 4) User preferences documented and an increased interest in the industry 5) Improvement and quality assurance based on feedback
Planned approach and implementation
** Denna text är maskinöversatt ** 1.Analysis of improvements: We evaluate results and user feedback from the demo in a limited environment to identify areas that need improvement. 2.Quality assurance: We carry out a thorough quality assurance of the solution and correct any errors or deficiencies identified during the demo stage. 3. Scaling: We develop a more reliable and dynamically scalable infrastructure. 4. Launching signup flow 5. Data from user interactions: We collect data about users´ interactions with the design proposals (preferences & assessment of the proposals)