Siltai
Siltai is a design documentation platform that captures raw ideas, constraints, and decisions through voice or text, then uses AI to structure them into clear documentation using design frameworks. The platform connects directly to development workflows, sending design constraints to coding tools like Cursor and design system context to AI prototyping tools, ensuring implementation stays aligned with design intent from a single source of truth.
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Design teams often lose critical context and decision rationale between initial brainstorming and final implementation. Ideas are scattered across meetings, documents, and conversations, leading to misaligned handoffs between designers, developers, and AI tools, resulting in design drift and rework.
Solution
Siltai provides a unified platform where teams can voice dump or write down raw design ideas, constraints, and decisions. The platform's AI structures these inputs using design frameworks—drawing from proven methodologies, community contributions, or custom processes defined by the team. The output is clear, organized documentation that teams can share internally. Crucially, the platform connects directly to development workflows: coding agents like Cursor receive design constraints, and AI prototyping tools receive design system context, ensuring that implementation stays aligned with design intent from a single source of truth.
Target Audience
Product designers and design teams working with developers and AI-assisted coding tools who need to preserve design context and streamline handoffs, particularly those building new products or working within existing codebases.
Features
- AI-powered structuring of raw idea dumps using established design frameworks and methodologies
- Support for both voice input and text-based idea capture, accommodating different working styles
- Export of design constraints directly to coding tools like Cursor for context-aware implementation
- Context delivery to AI prototyping tools with design system information for consistent mockups
- Applicability to both greenfield products and existing legacy codebases for capturing current state and future ideation
- Community-contributed frameworks alongside proven methodologies and custom user-defined processes
- Collaborative product development with user input directly shaping feature prioritization and roadmap