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Quilter logo
Quilter
✓ verifiedPaid

Reinforcement-learning engine that auto-places and routes PCB layouts from existing CAD files, validated against physical constraints.

68K visits/mo
13K visits/mo
Qase logo
Qase
✓ verifiedFreemium

Test management platform unifying manual and automated test results with AI-assisted case generation, for scaling QA teams.

375K visits/mo
Pricing

No public pricing

No public pricing

Free: $0/user (up to 3 users, 2 projects, 500MB storage)
Startup: $24/user/month (up to 20 users, 1,000 AI credits/month)
Business: $30/user/month (up to 100 users, 2,000 AI credits/month)

Free trial available

Core features
  • 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
  • Central test case repository with reporting dashboards
  • AI conversion of manual test cases into automated test scripts
  • CI/CD-connected automated test orchestration
  • Requirements-to-test traceability reporting
  • MCP server for connecting AI agents to test data
  • 20+ integrations including Jira, GitHub, and Slack
Use cases
  • 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)
  • QA teams consolidating scattered CI, manual, and automated results
  • Engineering orgs converting manual test backlogs into automation
  • Enterprises needing audit-ready traceability for regulated software
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