Designbase
Designbase provides a platform that converts design and code into a shared ontology, giving AI agents structured knowledge of components, patterns, and rules to improve output adherence by up to 99% and reduce token usage fivefold. The platform enables visual editing of running products with code as the source of truth and integrates context from GitHub, GitLab, Linear, and Slack.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Product teams and AI agents often operate with fragmented knowledge of design systems, leading to inconsistent outputs, repeated context discovery, and misalignment between design intent and implementation. Agents lack structured access to components, patterns, and rules, forcing them to rediscover product context with every prompt and resulting in costly errors and inefficiencies.
Solution
Designbase turns design and code into a shared ontology that connects product teams and AI agents. The platform gives agents structured knowledge of components, patterns, rules, and decisions, improving adherence by up to 99% and cutting token usage fivefold. Blueprints convert design work into a living contract covering states, data, and interactions, ensuring people and agents build toward the same intent. Users can edit their running product visually or with agents while keeping code as the source of truth, and pull context from GitHub, GitLab, Linear, or Slack as part of the same workflow.
Target Audience
Primary customers are product teams at organizations building design systems, including designers, developers, and engineering leaders who need to align human workflows with AI agent outputs.
Features
- Ontology-powered AI agents with structured knowledge of components, patterns, rules, and decisions from the user's specific context
- Blueprints that capture states, data, and agent guidance as a living contract for design intent
- One-click product connection for immediate synchronization of design and code
- Visual editing of running products with code as the source of truth
- Context integration from GitHub, GitLab, Linear, and Slack within the same workflow
- Reduced token consumption (up to 5x fewer) through compact context retrieval
- Up to 99% output adherence to selected components, patterns, and rules