Designovel is an AI company specializing in domain-specific AI solutions for fashion, brand visibility, and industrial expansion. The company provides an end-to-end Fashion AI pipeline covering trend analysis, design generation, material matching, and demand forecasting. Its GEO/AEO solution optimizes brand visibility in AI search engines like ChatGPT and Gemini, using a Brand Visibility Index (BVI) and ontology-based knowledge graphs. For heavy industry and energy sectors, Designovel offers domain expansion services that structure unstructured data and build domain-specific knowledge graphs for accurate reasoning.
Key Features
- Fashion AI Pipeline: Multimodal embedding extracts over 2,000 attributes from design and fabric images; ontology generative AI connects trends, designs, and materials; transformer-based models enable end-to-end planning and demand forecasting; real-time data pipeline processes 3 million+ fashion data points daily.
- GEO/AEO Solution: Reverse-engineers LLM exposure structures; uses RAG to structure trusted sources and induce brand citations in AI answers; quantifies brand visibility through five metrics.
- Domain Expansion: Structures complex data from energy infrastructure; builds domain knowledge graphs for hallucination-free reasoning; supports multimodal analysis combining numbers, documents, and images.
Use Cases
- Fashion brands can automate design generation, trend analysis, and demand prediction.
- Enterprises can improve brand presence in generative AI search results.
- Heavy industry and energy companies can deploy domain-specific AI without building from scratch.
Who It's For
Fashion companies, brand managers, and enterprises in heavy industry and energy sectors seeking AI-driven optimization.
Key Benefits
- End-to-end Fashion AI pipeline covering planning to demand forecasting
- 8 years of proven experience in fashion AI with global partnerships
- Partnerships with Intel, Microsoft, NVIDIA, and Google
- Multiple awards including Presidential Commendation and Minister's Award