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Reinforcement-learning engine that auto-places and routes PCB layouts from existing CAD files, validated against physical constraints.
Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.
Documentation and knowledge platform that keeps developer docs self-updating and queryable by AI agents.
Unified API gateway to 500+ AI models (GPT, Claude, Sora, image/video) with OpenAI-compatible endpoints and discounted usage.
No public pricing
No public pricing
No public pricing
Free trial available
Free trial available
No public pricing
- ✦Imports existing projects from major ECAD tools
- ✦Generates thousands of candidate board layouts via reinforcement learning
- ✦Flags bypass capacitors, impedance nets, and differential pairs for review
- ✦Supports parallel iteration across stack-ups and manufacturers
- ✦Transparent design review against a full constraint checklist
- ✦Returns files in the same CAD format for DRC and fab-file generation
- ✦URL-based NFT minting
- ✦AI-driven metadata generation
- ✦Universal Assets (UA) platform
- ✦ERC-404 compatibility
- ✦AI Agent asset management
- ✦Versioning NFT
- ✦Git repository hosting
- ✦Bitbucket Pipelines CI/CD
- ✦Pull requests and code review
- ✦Native Jira integration
- ✦Branch permissions and access controls
- ✦IP allowlisting and security features
- ✦Self-updating documentation
- ✦Web-based documentation editor
- ✦Custom domain hosting
- ✦Built-in search and API playground
- ✦MCP server for agent access
- ✦Authentication and access controls
- ✦Single OpenAI-compatible API for 500+ models
- ✦Chat, image, video and audio models
- ✦Discounted per-request pricing
- ✦One dashboard for keys, quotas and usage
- ✦Multi-region routing and failover (99.9% uptime)
- ✦Multiple payment methods incl. crypto
- →Speeding up IC evaluation board layout from weeks to hours
- →Cutting design validation board cycles from months to days
- →Reducing backplane and interconnect board bring-up time
- →Iterating multiple layout candidates in parallel before fabrication
- →Converting Web2 content into Web3 assets
- →Creating and managing Universal Assets (UA)
- →Automating equity exercise with AI agents
- →Monetizing digital content through NFTs
- →Managing and trading tokenized real-world assets (RWA)
- →Source code management
- →CI/CD automation
- →Team code review
- →DevOps for Jira-based teams
- →Publish and maintain developer documentation
- →Expose docs to AI agents via MCP
- →Host a branded docs site on a custom domain
- →Give teams a collaborative doc editor
- →Accessing many AI models via one API
- →Cutting AI model API costs
- →Building multimodal AI apps
- →Consolidating AI billing and keys