AI Solutions Under Development
Natural Language. Spatial Intelligence. Built for Design.
Gamisya Spatial AI is a purpose-built AI system for spatial engineering — designed to translate natural language commands into precise CAD design actions. Trained on proprietary design data from Rachna CAD, it understands geometry, spatial constraints, and engineering intent. The goal is not a generic AI assistant — it is a design intelligence that grows smarter with every workflow and connects language directly to spatial creation.
At a glance
- Conversational Design AI
- Spatial Context Understanding
- Proprietary Training Data
- Design Automation
Features
What Gamisya Spatial AI brings to the table.
Core capabilities and benefits that define the product.
Conversational Design AI
Describe what you want to build in plain language — the AI interprets design intent, understands spatial constraints, and translates commands into CAD actions.
Spatial Context Understanding
Understands geometry, material properties, dimensions, and engineering constraints — not just surface-level text, but design-aware reasoning.
Proprietary Training Data
Trained on real spatial design data from Rachna CAD — purpose-built for spatial engineering workflows, not a generic model.
Design Automation
Reduces repetitive modeling steps — the AI handles routine construction tasks so designers focus on intent, not execution.
Use cases
Built for real-world applications.
How Gamisya Spatial AI is used across industries and workflows.
Natural Language to CAD
Describe a part, a shape, or a design concept — the AI models it directly inside Rachna CAD, with correct geometry and constraints.
Intelligent Design Assistance
AI suggests next steps, flags spatial conflicts, and surfaces design options — acting as an intelligent co-designer in the workflow.
Spatial Dataset Flywheel
Every design created in Rachna CAD adds to the training dataset — the AI becomes more capable as the platform grows.
Part of the ecosystem
Gamisya Spatial AI connects to every part of Gamisya.
- Will process raw data from Spatial Scan into usable digital assets
- Generated assets will feed into Rachna CAD for engineering refinement
- Enhanced models will publish through XR Platform for deployment