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Shows where satellite records first place a plantation fire and how it spread, sealed on a blockchain, so a buyer can check a watchdog's grievance in their own browser.
An evidence-first climate investigation demo
No fire, one claim, on-chain proof: a farm plot and season bound to NASA FIRMS satellite fire evidence on-chain.
An issue goes in, a reviewed merge request comes out
Cultural intelligence agent grounded in Qloo's 250M+ graph, formally verified in SPARK Gold, Latin semantic interlingua, and accessible 3D sign avatar.
#pollutionfreewater
A taste graph planner with an explainable agent
Physics of AI in action.
An AI agent powered by Qloo that discovers unexpected connections across cultural interests and transforms them into original product, brand, and experience concepts.
JobLens turns job listings into personal market intelligence—finding, deduplicating, and analyzing roles to show what fits, why it fits, and which skills matter next.
AI-assisted regression investigation and release safety for computer vision models
All the Action, Anytime, Anywhere.
AeroVision uses Python and OpenCV to highlight simulated changes in aircraft images. It passed 11 controlled tests.
Pick up the project. Keep the evidence. A NAS Skill for source-linked handovers, unresolved conflicts and clear next steps.
Retire an old app without losing the records people still need. GitLab Duo decides, trusted code proves the data survives, and a person approves the exact plan.
AI-powered invoice error detection before payment approval.
Where should you open in Puerto Rico?
Stop guessing sponsors — match brands by what your audience actually loves, with Qloo taste-affinity evidence.
Give an agent someone's taste in music and film, and it plans their whole night — dinner, movie, soundtrack, nightcap — in that taste language, with receipts.
Support that already knows your story, right on WhatsApp.
Turn inconsistent CI test results into evidence your team can act on.
An Internet tailored for people, by people.
A fingerprint for powders: AI screening that flags suspicious medicine batches from microscope images.
Wearables alone drown nurses in false alarms; self-reports alone come too late. We combine a model that learns each chemo patient’s normal with a daily check-in, so nurses only see alerts that matter.
