Marketplace
Marketplace

Prove one AI workflow before you fund production. CodyHire gives product and technology leaders a controlled working prototype, acceptance evidence, and a production roadmap in 10 business days. If the proof is strong, the same U.S.-based team can build the production system.

We're cooking something exciting at LightRail AI—a codesign (full-stack) system tackling data movement bottlenecks to slash costs and power in large-scale AI training and inference. 🔹 Fabric OS/LightOS (software deployment on existing clusters) optimizes collectives & interconnect utilization. 🔹 Next-gen NPU/photonic-era compute architecture, informed by real cluster traffic & power constraints Or visit our site: https://lightrailabs.ai

Authentica is an AI-powered authentication app for sneakers, designer bags, and luxury goods. Users get a verdict — Verified, Unverified, or Needs More Photos — from phone-camera photos alone, in under a minute. No shipping items off, no multi-day waits.
Household Scanner: The value proposition is the User Experience. Just hold your phone up to any home issue of any severity, whether a simple chore or a whole structural damage, optionally add typed or voice dictated additional context, and the proprietary auto-scanning instantly generates an "Agentic Report". This report displays DIY steps which saves progress or Pro Help Integration, video tutorials specifically for each step, and direct links to buy tools/materials. All issues can be managed by you or the agent and includes room categorization, changing due dates, status, time tracking. Supports reminder notifications, Report export, and more in the roadmap.
AI-powered visual inspection for electronics and consumer goods manufacturing lines. Our model catches defects in real time at 99.3% accuracy — outperforming human inspectors at a fraction of the cost. We have two paying customers (a PCB assembler and a phone case manufacturer) at $6K/month each.

Autonomous scouting robots for row-crop agriculture that use computer vision to detect disease, pest pressure, and irrigation stress at the plant level — before it's visible to the human eye. Early trials with an almond grower showed 18% reduction in crop loss. The hardware is built; we need the software to scale.
