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Reinforcement-learning engine that auto-places and routes PCB layouts from existing CAD files, validated against physical constraints.
Unified API gateway to 500+ AI models (GPT, Claude, Sora, image/video) with OpenAI-compatible endpoints and discounted usage.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Test-automation platform for web, API, mobile, and desktop with no-code to full-code authoring and cloud execution.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦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
- ✦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
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦No-code, low-code and full-code test authoring
- ✦Web, API, mobile and desktop testing
- ✦Test management and planning
- ✦Cloud-based test execution
- ✦Reporting and analytics
- ✦AI-assisted test generation and monitoring
- →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)
- →Accessing many AI models via one API
- →Cutting AI model API costs
- →Building multimodal AI apps
- →Consolidating AI billing and keys
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Automate regression testing
- →Unify API, web and mobile tests
- →Manage manual and automated tests together
- →Scale test execution in the cloud
